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Total employment is projected to grow 3.1 percent between 2024 and 2034, increasing from 170.0 million to 175.2 million, for a total of 5.2 million additional new jobs. Most of these projected job gains are in the healthcare and social assistance sector and the professional, scientific, and technical services sector. Four sectors are expected to experience job losses over the decade, the bulk of which are concentrated in the retail trade sector.
The U.S. Bureau of Labor Statistics (BLS) projects total employment to grow from 170.0 million in 2024 to 175.2 million in 2034, an increase of 3.1 percent, which is much slower than the 13.0-percent employment growth recorded over the 2014–24 decade. (See chart 1.) While wage and salary employment is projected to increase by 3.1 percent, the number of self-employed workers is projected to increase by 2.2 percent over the projections period.1
Year | Total employment, all jobs (in millions) |
|---|---|
2004 | 144.1 |
2005 | 146.4 |
2006 | 149.0 |
2007 | 150.3 |
2008 | 149.3 |
2009 | 143.0 |
2010 | 141.9 |
2011 | 143.3 |
2012 | 145.7 |
2013 | 147.7 |
2014 | 150.4 |
2015 | 153.5 |
2016 | 156.1 |
2017 | 158.3 |
2018 | 160.9 |
2019 | 162.8 |
2020 | 153.5 |
2021 | 158.3 |
2022 | 164.4 |
2023 | 167.7 |
2024 | 170.0 |
2025 | [1] |
2026 | [1] |
2027 | [1] |
2028 | [1] |
2029 | [1] |
2030 | [1] |
2031 | [1] |
2032 | [1] |
2033 | [1] |
2034 | 175.2 |
[1] Indicates that the U.S. Bureau of Labor Statistics does not project employment for interim years 2025–33. Note: Total employment refers to wage and salary employment and self-employment. Source: U.S. Bureau of Labor Statistics. | |
Total projected employment growth is heavily influenced by demographic trends—such as the aging population and slower growth in the civilian noninstitutional population—that are expected to cause slower labor force growth and declining labor force participation rates over the projections decade.2 In broad terms, labor force and macroeconomic projections are used to develop output and employment projections at the industry level, which then feed into projections for occupational employment. These industry and occupational employment projections are the focus of this article.3 (See charts 2 and 3.)
2024 National Employment Matrix code | 2024 National Employment Matrix title | Percent change, 2024–34 | Numeric change, 2024–34 (in thousands) |
|---|---|---|---|
620000 | Healthcare and social assistance | 8.4 | 1,982.7 |
540000 | Professional, scientific, and technical services | 7.5 | 812.5 |
510000 | Information | 6.5 | 192.3 |
710000 | Arts, entertainment, and recreation | 5.1 | 132.6 |
220000 | Utilities | 4.9 | 28.7 |
550000 | Management of companies and enterprises | 4.4 | 114.9 |
230000 | Construction | 4.4 | 360.5 |
720000 | Accommodation and food services | 3.9 | 553.6 |
420000 | Wholesale trade | 3.4 | 208.6 |
520000 | Finance and insurance | 3.4 | 226.4 |
530000 | Real estate and rental and leasing | 3.3 | 81.8 |
TE1200 | Total wage and salary employment | 3.1 | 4,995.4 |
48-490 | Transportation and warehousing | 3.0 | 198.8 |
810000 | Other services (except public administration) | 2.9 | 192.5 |
560000 | Administrative and support and waste management and remediation services | 1.1 | 101.7 |
110000 | Educational services; state, local, and private | 0.1 | 11.9 |
610000 | Agriculture, forestry, fishing, and hunting | 0.1 | 1.4 |
31-330 | Manufacturing | 0.0 | -0.4 |
900000 | Government, excluding state and local education and hospitals | -0.1 | -14.1 |
44-450 | Retail trade | -1.2 | -181.9 |
210000 | Mining, quarrying, and oil and gas extraction | -1.6 | -9.3 |
Source: U.S. Bureau of Labor Statistics. | |||
2024 National Employment Matrix code | 2024 National Employment Matrix title | Percent change, 2024–34 | Numeric change, 2024–34 |
|---|---|---|---|
43-0000 | Healthcare support | 12.4 | 988.3 |
45-0000 | Computer and mathematical | 10.1 | 545.6 |
41-0000 | Healthcare practitioners and technical | 7.2 | 726.9 |
51-0000 | Community and social service | 6.6 | 212.3 |
25-0000 | Management | 6.1 | 833.4 |
33-0000 | Architecture and engineering | 5.3 | 139.9 |
37-0000 | Construction and extraction | 5.2 | 394.1 |
23-0000 | Business and financial operations | 5.2 | 586.9 |
27-0000 | Life, physical, and social science | 5.0 | 80.9 |
00-0000 | Installation, maintenance, and repair | 4.6 | 301.4 |
35-0000 | Personal care and service | 4.2 | 186.5 |
53-0000 | Transportation and material moving | 4.1 | 579.9 |
39-0000 | Food preparation and serving related | 3.5 | 489.9 |
49-0000 | Total, all occupations | 3.1 | 5,211.8 |
19-0000 | Arts, design, entertainment, sports, and media | 2.8 | 83.5 |
47-0000 | Legal | 2.7 | 38.3 |
13-0000 | Building and grounds cleaning and maintenance | 2.0 | 117.1 |
17-0000 | Protective service | 0.8 | 29.1 |
11-0000 | Educational instruction and library | 0.6 | 62.2 |
21-0000 | Production | -1.1 | -99.6 |
29-0000 | Sales and related | -2.0 | -297.8 |
15-0000 | Farming, fishing, and forestry | -2.5 | -25.2 |
31-0000 | Office and administrative support | -3.9 | -761.9 |
Source: U.S. Bureau of Labor Statistics. | |||
The article starts with the main highlights of the 2024–34 BLS employment projections. These highlights are followed by a table that shows information about important skills and other worker characteristics for the projected 15 fastest growing occupations between 2024 and 2034.4 (See table 1.) The article continues with a discussion of recent trends in artificial intelligence (AI) and the technology’s expected impact on employment in various industries and occupations. The article then profiles the employment projections and structural trends in several sectors, including healthcare and social assistance; professional, scientific, and technical services; education; retail trade; and others. Each section has an accompanying table that shows employment data for the different sectors, industries, occupational groups, and occupations discussed.5 Finally, the article provides an overview of the methodology used to develop these employment projections and concludes with a summary of the main highlights.
Highlights from the 2024–34 industry and occupational employment projections include the following:
2024 National Employment Matrix code | 2024 National Employment Matrix title | Percent change, 2024–34 | Numeric change (in thousands), 2024–34 |
|---|---|---|---|
621390 | Solar electric power generation | 180.2 | 30.4 |
61170L | Wind electric power generation | 81.4 | 9.2 |
541500 | Geothermal electric power generation | 41.4 | 0.5 |
621600 | Other electric power generation | 32.9 | 1.5 |
513200 | Other electrical equipment and component manufacturing | 29.2 | 48.4 |
621420 | Offices of mental health practitioners (except physicians) | 26.4 | 65.5 |
518000 | Offices of physical, occupational and speech therapists, and audiologists | 23.3 | 114.8 |
624120 | Services for the elderly and persons with disabilities | 21.0 | 528.5 |
621340 | Computing infrastructure providers, data processing, web hosting, and related services | 20.3 | 97.9 |
621330 | Outpatient mental health and substance abuse centers | 19.9 | 62.8 |
335900 | Software publishers | 19.3 | 124.6 |
221118 | Home healthcare services | 18.6 | 325.8 |
221116 | Computer systems design and related services | 15.8 | 386.8 |
221115 | Educational support services; local | 14.8 | 6.1 |
221114 | Offices of all other health practitioners | 12.9 | 24.5 |
Note: Employment levels refer to wage and salary employment. Source: U.S. Bureau of Labor Statistics. | |||
2024 National Employment Matrix code | 2024 National Employment Matrix title | Percent change, 2024–34 | Numeric change (in thousands), 2024–34 |
|---|---|---|---|
00-0000 | Wind turbine service technicians | 49.9 | 6.8 |
13-2061 | Solar photovoltaic installers | 42.1 | 12.0 |
31-2011 | Nurse practitioners | 40.1 | 128.4 |
15-1221 | Data scientists | 33.5 | 82.5 |
29-2057 | Information security analysts | 28.5 | 52.1 |
29-2053 | Medical and health services managers | 23.2 | 142.9 |
29-1071 | Physical therapist assistants | 22.0 | 24.5 |
15-2031 | Actuaries | 21.8 | 7.3 |
15-2011 | Operations research analysts | 21.5 | 24.1 |
31-2021 | Physician assistants | 20.4 | 33.2 |
11-9111 | Psychiatric technicians | 20.0 | 28.9 |
15-1212 | Ophthalmic medical technicians | 19.8 | 15.6 |
15-2051 | Computer and information research scientists | 19.7 | 7.9 |
29-1171 | Occupational therapy assistants | 19.2 | 9.5 |
47-2231 | Financial examiners | 18.5 | 12.1 |
49-9081 | Total, all occupations | 3.1 | 5,211.8 |
Note: Employment levels refer to total employment. Source: U.S. Bureau of Labor Statistics. | |||
| 2024 National Employment Matrix code | 2024 National Employment Matrix title | Employment, 2024 | Projected employment, 2034 | Projected numeric change in employment, 2024–34 | Projected percent change in employment, 2024–34 | Median annual wage, dollars, 2024 | Typical education needed for entry | Top highest skill | Second highest skill | Third highest skill |
|---|---|---|---|---|---|---|---|---|---|---|
00-0000 | Total, all occupations | 169,956.1 | 175,167.9 | 5,211.8 | 3.1 | 49,500 | Adaptability | Detail oriented | Interpersonal | |
49-9081 | Wind turbine service technicians | 13.6 | 20.5 | 6.8 | 49.9 | 62,580 | Postsecondary nondegree award | Detail oriented | Mechanical | Adaptability |
47-2231 | Solar photovoltaic installers | 28.6 | 40.6 | 12.0 | 42.1 | 51,860 | High school diploma or equivalent | Detail oriented | Adaptability | Problem solving and decision making |
29-1171 | Nurse practitioners | 320.4 | 448.8 | 128.4 | 40.1 | 129,210 | Master's degree | Adaptability | Interpersonal | Problem solving and decision making |
15-2051 | Data scientists | 245.9 | 328.3 | 82.5 | 33.5 | 112,590 | Bachelor's degree | Mathematics | Computers and information technology | Writing and reading |
15-1212 | Information security analysts | 182.8 | 234.9 | 52.1 | 28.5 | 124,910 | Bachelor's degree | Computers and information technology | Adaptability | Writing and reading |
11-9111 | Medical and health services managers | 616.2 | 759.1 | 142.9 | 23.2 | 117,960 | Bachelor's degree | Adaptability | Leadership | Critical and analytical thinking |
31-2021 | Physical therapist assistants | 111.5 | 136.0 | 24.5 | 22.0 | 65,510 | Associate's degree | Interpersonal | Adaptability | Problem solving and decision making |
15-2011 | Actuaries | 33.6 | 40.9 | 7.3 | 21.8 | 125,770 | Bachelor's degree | Mathematics | Critical and analytical thinking | Writing and reading |
15-2031 | Operations research analysts | 112.1 | 136.2 | 24.1 | 21.5 | 91,290 | Bachelor's degree | Mathematics | Critical and analytical thinking | Writing and reading |
29-1071 | Physician assistants | 162.7 | 195.8 | 33.2 | 20.4 | 133,260 | Master's degree | Adaptability | Interpersonal | Detail oriented |
29-2053 | Psychiatric technicians | 144.5 | 173.3 | 28.9 | 20.0 | 42,590 | Postsecondary nondegree award | Interpersonal | Adaptability | Writing and reading |
29-2057 | Ophthalmic medical technicians | 78.8 | 94.4 | 15.6 | 19.8 | 44,080 | Postsecondary nondegree award | Adaptability | Detail oriented | Interpersonal |
15-1221 | Computer and information research scientists | 40.3 | 48.3 | 7.9 | 19.7 | 140,910 | Master's degree | Computers and information technology | Critical and analytical thinking | Problem solving and decision making |
31-2011 | Occupational therapy assistants | 49.2 | 58.7 | 9.5 | 19.2 | 68,340 | Associate's degree | Interpersonal | Adaptability | Problem solving and decision making |
13-2061 | Financial examiners | 65.1 | 77.2 | 12.1 | 18.5 | 90,400 | Bachelor's degree | Critical and analytical thinking | Writing and reading | Adaptability |
1 This indicates that there is no typical education needed for entry when considering total, all occupations. Notes: Employment is in thousands of jobs. Employment for occupations is total employment, which includes wage and salary employment in all industries and self-employment. Wage data cover non-farm wage and salary workers and do not cover the self-employed, owners and partners in unincorporated firms, or household workers. Click here for more information on the education and training classification system. See skills data for more information. Source: U.S. Bureau of Labor Statistics. | ||||||||||
AI technology continues to advance. In addition to large language models (LLMs), new iterations of image, sound, and video generation software are being deployed. This technology has generated widespread public interest, including its potential implications for the future labor market.
BLS projections methods include some key assumptions which frame the expected employment impact of AI. One is the assumption of a full-employment economy in the projected year.6 This is assumed in order for the projections to ignore cyclical economic fluctuation and focus on long-term structural change in the distribution of employment among occupations and industries. This assumption is part of the overall labor force and macroeconomic components of the projections model, which projects total employment growth of 3.1 percent from 2024 to 2034.
Second, the projections assume that the pace of structural change in the economy due to technology will follow its historical pattern. This has traditionally been gradual, with job displacement due to technological change typically taking longer than technologists expect.7 While it is possible that future technologies may affect the labor market faster than has been the case for past technologies, BLS projections methods are not designed to account for rapid change. Therefore, BLS assumes that the overall pace of technological change will be consistent with past experience.
However, AI is already being deployed in a variety of work settings, with likely productivity-enhancing effects on a range of occupations. Several occupations are projected to experience employment impacts because of the increased adoption of AI, including generative AI (which can create new content rather than just use existing data to do analysis). The following examples should not be considered exhaustive or definitive. Rather, they are examples in which a reasonable expectation of an AI-driven impact currently exists. Because the capabilities of AI systems continue to evolve, these assessments can change. Generative AI also carries an array of risks, such as those related to hallucinations, training data bias, and intellectual property infringement, among others.8 Thus, there is considerable uncertainty around the extent of generative AI adoption across the economy and its impact on employment. BLS releases new projections data annually and, as more information emerges that helps clarify the extent of the technology’s impact, it will be incorporated into future sets of projections data.
Arts, design, media, and communication occupations are expected to be particularly susceptible to productivity effects from generative AI. Graphic designers, for example, can leverage generative AI tools in the initial step of the design process, which allows these workers to explore and iterate ideas faster, enabling them to create first drafts much more quickly and to shift their focus to later stages of the design process. Generative AI can also be used to automate repetitive tasks and speed up certain processes, such as prototyping and design verification.9 These productivity gains are expected to limit demand for this occupation, which is projected for slower than average employment growth for 2024–34.10 Meanwhile, interpreters and translators have become more productive as AI translation capabilities continue to improve, reducing their employment demand.11 Other examples of occupations in this group whose tasks have a high potential to be automated or streamlined by generative AI systems include special effects artists and animators (as video generation software improves in speed and quality), technical writers (as documentation is produced more efficiently), and broadcast announcers and radio DJs (as adoption of AI-generated voice technology increases). Therefore, the technology is expected to limit the employment demand of these workers between 2024 and 2034.
Several healthcare-related occupations are also expected to be affected by AI. For example, medical secretaries and administrative assistants are expected to see productivity-enhancing effects on their billing and claims management tasks.12 AI-based tools that make the medical-coding process more efficient are also expected to moderate demand for medical records specialists. Among healthcare practitioners, radiologists are incorporating AI into traditional computer-aided diagnosis (CAD) systems, which increases efficiency.13 However, these productivity effects are counteracted by the strong underlying demand for healthcare, meaning employment growth is still projected for these occupations. Employment of medical transcriptionists, however, is projected to decline 4.9 percent from 2024 to 2034 because AI technology can recognize speech and transcribe audio, reducing the need for these workers.14
AI technologies are also expected to affect a number of sales occupations. For instance, AI systems can quickly summarize sales calls, analyze their content, and recommend next steps based on the information exchanged. Moreover, AI solutions can assist sales representatives with lead prospecting and scoring as well as with researching prospects and the competition.15 Generative AI tools can also be employed to draft emails, create presentations, and develop sales proposals—tasks that salespeople routinely engage in.16 By reducing the time and effort spent handling manual and repetitive tasks, AI allows sales representatives to focus more on engaging customers and closing deals and reduces their employment demand. Relevant occupations that are expected to see productivity improvements and decreased demand for their labor as a result of AI integration include sales engineers, insurance sales agents, and other types of sales representatives.
Automation technology has long been a factor impacting the job outlook of many office and administrative support occupations, with the productivity gains associated with the adoption of digital tools, such as automated phone systems and virtual assistants, constraining demand for these workers. As the integration of existing and new AI technologies into workflows expands, various types of office and administrative support workers are expected to see additional efficiency gains. As a result, demand is expected to be limited for occupations such as billing and posting clerks; procurement clerks; credit authorizers, checkers, and clerks; customer service representatives; and nonmedical secretaries and administrative assistants. Employment of these occupations is projected to decline or show little change over the 2024–34 decade.
A variety of other jobs are also expected to be impacted by AI. For example, AI-powered tools designed specifically for the legal services industry can help paralegals and legal assistants review contracts, streamline the discovery process, and conduct research.17 The efficiency gains resulting from these and other AI solutions are likely to constrain job growth, with the paralegals and legal assistants occupation projected to see little or no employment change over 2024–34. Likewise, digital tutors can use AI and LLM technology to impart information and answer student questions, which is expected to slow employment growth for tutors.18 Claims adjusters, examiners, and investigators can use AI tools to assess photographs of property damage, which improves efficiency in generating payout estimates.19 Consequently, employment of these workers is projected to decline 5.1 percent from 2024–34. (See table 2.)
Although several occupations, including but not limited to those discussed above, are expected to be affected by the labor-saving effects of AI adoption, others are expected to experience a positive impact to their employment outlook. This is the case for some computer occupations, whose skills will be increasingly needed to meet the growing demand for AI-based systems, which are discussed in more detail in the IT section.
| 2024 National Employment Matrix code | 2024 National Employment Matrix title | Employment, 2024 | Projected Employment, 2034 | Projected numeric change in employment, 2024–34 | Projected percent change in employment, 2024–34 | Rank |
|---|---|---|---|---|---|---|
TE1000 | Total employment | 169,956.1 | 175,167.9 | 5,211.8 | 3.1 | 1 |
Occupational employment | ||||||
13-0000 | Business and financial operations occupations | 11,262.0 | 11,848.9 | 586.9 | 5.2 | 7th of 22 |
13-1031 | Claims adjusters, examiners, and investigators | 356.1 | 337.9 | -18.2 | -5.1 | 722nd of 832 |
23-0000 | Legal occupations | 1,418.2 | 1,456.5 | 38.3 | 2.7 | 15th of 22 |
23-2011 | Paralegals and legal assistants | 376.2 | 376.8 | 0.6 | 0.2 | 579th of 832 |
25-0000 | Educational instruction and library occupations | 9,813.2 | 9,875.4 | 62.2 | 0.6 | 18th of 22 |
25-3041 | Tutors | 215.5 | 216.8 | 1.3 | 0.6 | 561st of 832 |
27-0000 | Arts, design, entertainment, sports, and media occupations | 3,021.1 | 3,104.6 | 83.5 | 2.8 | 14th of 22 |
27-1014 | Special effects artists and animators | 57.1 | 58.0 | 0.9 | 1.6 | 502nd of 832 |
27-1024 | Graphic designers | 265.9 | 271.5 | 5.7 | 2.1 | 457th of 832 |
27-3011 | Broadcast announcers and radio disc jockeys | 24.1 | 22.8 | -1.3 | -5.5 | 729th of 832 |
27-3042 | Technical writers | 56.4 | 56.9 | 0.5 | 0.9 | 545th of 832 |
27-3091 | Interpreters and translators | 75.3 | 76.6 | 1.3 | 1.7 | 489th of 832 |
29-0000 | Healthcare practitioners and technical occupations | 10,067.5 | 10,794.4 | 726.9 | 7.2 | 3rd of 22 |
29-1224 | Radiologists | 28.2 | 29.0 | 0.8 | 2.7 | 402nd of 832 |
29-2072 | Medical records specialists | 194.8 | 208.6 | 13.8 | 7.1 | 111th of 832 |
31-0000 | Healthcare support occupations | 7,982.8 | 8,971.1 | 988.3 | 12.4 | 1st of 22 |
31-9094 | Medical transcriptionists | 43.9 | 41.8 | -2.2 | -4.9 | 717th of 832 |
41-0000 | Sales and related occupations | 14,532.6 | 14,234.8 | -297.8 | -2.0 | 20th of 22 |
41-3021 | Insurance sales agents | 568.8 | 589.8 | 21.1 | 3.7 | 315th of 832 |
41-3091 | Sales representatives of services, except advertising, insurance, financial services, and travel | 1,226.7 | 1,264.7 | 37.9 | 3.1 | 377th of 832 |
41-4011 | Sales representatives, wholesale and manufacturing, technical and scientific products | 303.2 | 308.9 | 5.7 | 1.9 | 479th of 832 |
41-4012 | Sales representatives, wholesale and manufacturing, except technical and scientific products | 1,310.5 | 1,314.9 | 4.4 | 0.3 | 571st of 832 |
41-9031 | Sales engineers | 56.8 | 59.9 | 3.1 | 5.5 | 186th of 832 |
43-0000 | Office and administrative support occupations | 19,325.2 | 18,563.3 | -761.9 | -3.9 | 22nd of 22 |
43-3021 | Billing and posting clerks | 429.8 | 427.9 | -1.9 | -0.4 | 603rd of 832 |
43-3061 | Procurement clerks | 61.9 | 56.6 | -5.4 | -8.7 | 768th of 832 |
43-4041 | Credit authorizers, checkers, and clerks | 12.0 | 11.3 | -0.7 | -6.2 | 742nd of 832 |
43-4051 | Customer service representatives | 2,814.0 | 2,660.3 | -153.7 | -5.5 | 727th of 832 |
43-6011 | Executive secretaries and executive administrative assistants | 502.8 | 494.9 | -7.9 | -1.6 | 638th of 832 |
43-6012 | Legal secretaries and administrative assistants | 156.3 | 147.3 | -9.0 | -5.8 | 733rd of 832 |
43-6013 | Medical secretaries and administrative assistants | 850.0 | 885.3 | 35.3 | 4.2 | 269th of 832 |
43-6014 | Secretaries and administrative assistants, except legal, medical, and executive | 1,944.0 | 1,913.2 | -30.8 | -1.6 | 641st of 832 |
Notes: 1) Employment in thousands of jobs. 2) Employment for occupations is total employment, which includes wage and salary employment in all industries and self-employment. 3) Ranks refer to the rank of the employment percent change relative to all 22 occupational groups or 832 occupations. 1 Indicates that there is no rank for total employment. Source: U.S. Bureau of Labor Statistics. | ||||||
Of the 20 sectors in the economy, the healthcare and social assistance sector is projected to experience the fastest employment growth between 2024 and 2034. (See charts 2 and 6.) Employment in this sector is expected to grow 8.4 percent, almost 3 times faster than the average job growth expected for the overall economy (3.1 percent). In addition, the sector is expected to add roughly 2.0 million new jobs over 2024–34, representing the most jobs added by any sector.
| Year | Healthcare and social assistance employment (in millions) |
|---|---|
2004 | 15.5 |
2005 | 15.8 |
2006 | 16.3 |
2007 | 16.7 |
2008 | 17.2 |
2009 | 17.6 |
2010 | 17.8 |
2011 | 18.1 |
2012 | 18.4 |
2013 | 18.7 |
2014 | 19.0 |
2015 | 19.6 |
2016 | 20.1 |
2017 | 20.6 |
2018 | 21.0 |
2019 | 21.5 |
2020 | 20.9 |
2021 | 21.1 |
2022 | 21.7 |
2023 | 22.7 |
2024 | 23.7 |
2025 | [1] |
2026 | [1] |
2027 | [1] |
2028 | [1] |
2029 | [1] |
2030 | [1] |
2031 | [1] |
2032 | [1] |
2033 | [1] |
2034 | 25.7 |
Notes: Data refers to wage and salary employment. 1 Indicates that the U.S. Bureau of Labor Statistics does not project employment for interim years 2025–33. Source: U.S. Bureau of Labor Statistics. | |
Three occupational groups are closely tied to the healthcare and social assistance sector: healthcare support, healthcare practitioners and technical, and community and social service. Because of the strong demand expected for healthcare and social assistance services, these three groups rank among the five fastest growing occupational groups. (See chart 3.) Of all 22 occupational groups, the healthcare support group is projected to experience both the fastest employment growth and largest increase in jobs over the 2024–34 decade. Meanwhile, employment in the healthcare practitioners and technical group is projected to grow at the third-fastest pace of 7.2 percent, more than twice the average job growth of all 22 groups. Combined, these two healthcare groups will account for roughly one third of all new jobs created between 2024 and 2034.
The growing size of the older adult population (defined as people age 65 or older) is one major factor that will drive rapid growth in healthcare and social assistance jobs. This is mainly because older adults have a greater disease burden than younger people, as the likelihood of experiencing health complications rises with age. Since the elderly population will continue to expand (the number of older adults is projected to climb from 59.7 million in 2024 to 72.5 million in 2034), the demand for medical and social services will only continue to increase.20
An aging population will fuel demand for workers in 3 of the 15 fastest growing industries; namely, offices of physical, occupational and speech therapists, and audiologists (23.3 percent); services for the elderly and persons with disabilities (21.0 percent); and home healthcare services (18.6 percent). (See chart 4.) A growing elderly population will also create many job opportunities in the fast-growing continuing care retirement communities and assisted living facilities for the elderly industry (10.5 percent). The growing number of older adults who will need long-term care, including social services like adult daycare and nonmedical home care, as well as therapy services for functional limitations and other disabilities will boost employment in these four industries. The increased prioritization in delivering long-term services and supports in home and community settings coupled with the general preference of adults to remain at home as they age will further add to employment demand.21 Not only are these 4 industries projected to experience much faster-than-average employment growth, but they also rank among the top 15 industries projected to add the most jobs from 2024 to 2034.
Several healthcare occupations have a relatively high concentration of employment in these four industries and are thus poised to experience swift job growth as well. These include physical therapists, occupational therapists, and their respective assistants; home health and personal care aides; speech-language pathologists; and audiologists—occupations whose employment is projected to grow more than three times as fast as the all-occupation average. Home health and personal care aides are particularly noteworthy because they provide hands-on, long-term care services to clients (primarily older adults), and are the largest occupation in the economy, with approximately 4.3 million jobs in 2024. As a result, this occupation is projected to add the most jobs of any occupation (739,800)—accounting for roughly 1 of every 7 jobs added over the projections decade.
The elevated chronic disease burden in the general population is another major contributor to healthcare demand. Recent data indicate that chronic disease prevalence has increased among both young and midlife adults, with the former group in particular seeing a significant increase, largely due to rising obesity rates. Altogether, over 75 percent of adults are estimated to have at least one chronic condition, while more than 50 percent have two or more.22 Going forward, it is expected that chronic disease, such as diabetes or heart disease, will become more prevalent.23
Meanwhile, although not as prevalent, behavioral health issues remain common. According to the National Survey on Drug Use and Health, a total of 58.7 million adults (22.8 percent of this population) had been diagnosed with a mental illness, such as depression or bipolar disorder, in 2023—levels that have remained largely stable since 2021. Additionally, 48.5 million Americans age 12 or older (17.1 percent of this population) had a substance use disorder in 2023, increasing from 46.8 million in 2021.24 Against the backdrop of a high and increasing prevalence of chronic diseases or behavioral health disorders, the demand to diagnose, treat, and manage these conditions will expand significantly. Consequently, robust employment growth is expected in the industries and occupations that provide these services.
For example, employment in offices of mental health practitioners (except physicians) is projected to grow 26.4 percent from 2024 to 2034, making it the fastest growing industry in the healthcare and social assistance sector. The growing demand for counseling, medication, and treatment will boost jobs in other mental-health-related industries as well. These include outpatient mental health and substance abuse centers, residential mental health and substance abuse facilities, and private psychiatric and substance abuse hospitals, all of which are projected to grow at a much faster-than-average pace (at least 10 percent) over the 2024–34 period. Because some occupations that provide mental health and social services are heavily concentrated in these industries, they will likewise experience strong employment growth that is well above the all-occupation average. This is the case for psychiatric technicians (20.0 percent); substance abuse, behavioral disorder, and mental health counselors (16.8 percent); clinical and counseling psychologists (11.2 percent); and mental health and substance abuse social workers (9.7 percent).
Several other healthcare occupations will be in demand over the coming years. Chief among them are nurse practitioners, whose employment is projected to increase by 40.1 percent through 2034—making it the fastest growing healthcare occupation and third-fastest growing occupation in the economy. (See chart 5.) Demand for nurse practitioners and for physician assistants (which are projected to be the third-fastest growing healthcare occupation) are set to expand considerably as healthcare providers increasingly rely on these workers to deliver care under a collaborative, team-based care framework.25
The increase in team-based approaches to care will likewise boost employment of ophthalmic medical technicians. By leveraging the skillset of these workers, optometrists and ophthalmologists are able to focus on complex cases and to see more patients.26 At 19.8 percent, the occupation is projected to be the fifth-fastest growing healthcare occupation between 2024 and 2034. Strong job gains are also expected for medical and health services managers. As the complexity of the healthcare system grows—in large part owing to advancements in technology, shifting policies and regulations, and evolving models of care—more managers will be needed to plan, direct, and coordinate healthcare service delivery.27 This occupation is projected to be the fastest growing management occupation, ranking among the top 15 occupations with the fastest job growth and with the largest increase in employment from 2024 to 2034. (See table 3.)
| 2024 National Employment Matrix code | 2024 National Employment Matrix title | Employment, 2024 | Projected employment, 2034 | Projected numeric change in employment, 2024–34 | Projected percent change in employment, 2024–34 | Rank |
|---|---|---|---|---|---|---|
TE1000 | Total employment | 169,956.1 | 175,167.9 | 5,211.8 | 3.1 | 1 |
Industry employment | ||||||
62 | Healthcare and social assistance | 23,692.2 | 25,674.9 | 1,982.7 | 8.4 | 1st of 20 |
621330 | Offices of mental health practitioners (except physicians) | 247.9 | 313.4 | 65.5 | 26.4 | 6th of 292 |
621340 | Offices of physical, occupational and speech therapists, and audiologists | 493.1 | 607.9 | 114.8 | 23.3 | 7th of 292 |
621420 | Outpatient mental health and substance abuse centers | 314.8 | 377.6 | 62.8 | 19.9 | 10th of 292 |
621600 | Home healthcare services | 1,750.8 | 2,076.6 | 325.8 | 18.6 | 12th of 292 |
62220P | Psychiatric and substance abuse hospitals; private | 165.2 | 182.5 | 17.3 | 10.5 | 23rd of 292 |
623220 | Residential mental health and substance abuse facilities | 264.3 | 292.4 | 28.1 | 10.6 | 21st of 292 |
623300 | Continuing care retirement communities and assisted living facilities for the elderly | 988.5 | 1,092.4 | 103.9 | 10.5 | 22nd of 292 |
624120 | Services for the elderly and persons with disabilities | 2,512.3 | 3,040.8 | 528.5 | 21.0 | 8th of 292 |
Occupational employment | ||||||
11-0000 | Management occupations | 13,607.6 | 14,441.0 | 833.4 | 6.1 | 5th of 22 |
11-9111 | Medical and health services managers | 616.2 | 759.1 | 142.9 | 23.2 | 6th of 832 |
19-0000 | Life, physical, and social science occupations | 1,609.5 | 1,690.4 | 80.9 | 5.0 | 9th of 22 |
19-3033 | Clinical and counseling psychologists | 76.3 | 84.8 | 8.5 | 11.2 | 50th of 832 |
21-0000 | Community and social service occupations | 3,196.9 | 3,409.2 | 212.3 | 6.6 | 4th of 22 |
21-1018 | Substance abuse, behavioral disorder, and mental health counselors | 483.5 | 564.6 | 81.0 | 16.8 | 20th of 832 |
21-1023 | Mental health and substance abuse social workers | 136.8 | 150.1 | 13.3 | 9.7 | 63rd of 832 |
29-0000 | Healthcare practitioners and technical occupations | 10,067.5 | 10,794.4 | 726.9 | 7.2 | 3rd of 22 |
29-1071 | Physician assistants | 162.7 | 195.8 | 33.2 | 20.4 | 10th of 832 |
29-1122 | Occupational therapists | 160.0 | 182.1 | 22.1 | 13.8 | 32nd of 832 |
29-1123 | Physical therapists | 267.2 | 296.4 | 29.3 | 10.9 | 56th of 832 |
29-1127 | Speech-language pathologists | 187.4 | 215.5 | 28.2 | 15.0 | 27th of 832 |
29-1171 | Nurse practitioners | 320.4 | 448.8 | 128.4 | 40.1 | 3rd of 832 |
29-1181 | Audiologists | 15.8 | 17.3 | 1.5 | 9.5 | 67th of 832 |
29-2053 | Psychiatric technicians | 144.5 | 173.3 | 28.9 | 20.0 | 11th of 832 |
29-2057 | Ophthalmic medical technicians | 78.8 | 94.4 | 15.6 | 19.8 | 12th of 832 |
31-0000 | Healthcare support occupations | 7,982.8 | 8,971.1 | 988.3 | 12.4 | 1st of 22 |
31-1120 | Home health and personal care aides | 4,347.7 | 5,087.5 | 739.8 | 17.0 | 18th of 832 |
31-2011 | Occupational therapy assistants | 49.2 | 58.7 | 9.5 | 19.2 | 14th of 832 |
31-2021 | Physical therapist assistants | 111.5 | 136.0 | 24.5 | 22.0 | 7th of 832 |
1 Indicates that data are not available. Notes: Employment in thousands of jobs. Employment for industries is wage and salary. Employment for occupations is total employment, which includes wage and salary employment in all industries and self-employment. Ranks refer to the rank of the employment percent change relative to all 20 sectors, 292 detailed industries, 22 occupational groups, or 832 occupations. Source: U.S. Bureau of Labor Statistics. | ||||||
Professional, scientific, and technical services is projected to be the second-fastest growing sector for 2024–34, with a projected 7.5-percent employment growth rate. (See chart 7.) This fast growth also translates to 812,500 new jobs over the projections period. (See chart 2). In addition to computer and mathematical occupations (which are discussed in the information technology section), business and financial operations occupations and architecture and engineering occupations are among the occupational groups predominately employed in this sector that are expected to see faster-than-average employment growth.
Year | Professional, scientific, and technical consulting services employment (in millions) |
|---|---|
2004 | 6.8 |
2005 | 7.1 |
2006 | 7.4 |
2007 | 7.7 |
2008 | 7.8 |
2009 | 7.6 |
2010 | 7.5 |
2011 | 7.7 |
2012 | 7.9 |
2013 | 8.2 |
2014 | 8.4 |
2015 | 8.7 |
2016 | 8.9 |
2017 | 9.1 |
2018 | 9.3 |
2019 | 9.5 |
2020 | 9.4 |
2021 | 9.9 |
2022 | 10.5 |
2023 | 10.8 |
2024 | 10.8 |
2025 | [1] |
2026 | [1] |
2027 | [1] |
2028 | [1] |
2029 | [1] |
2030 | [1] |
2031 | [1] |
2032 | [1] |
2033 | [1] |
2034 | 11.6 |
[1] Indicates that the U.S. Bureau of Labor Statistics does not project employment for interim years 2025–33. Notes: Data refer to wage and salary employment. Source: U.S. Bureau of Labor Statistics. | |
Among the detailed industries in this sector is management, scientific, and technical consulting services, which is projected to see 9.4-percent employment growth from 2024 to 2034. This industry provides strategic and operational advice to business and government clients. The specialties of consulting that are seeing the most growth tend to mirror the segments of the overall economy seeing the strongest demand, including healthcare consulting. A range of client types within healthcare seek consulting services, including healthcare providers, insurance companies, and pharmaceutical firms. Consulting firms assist clients in cutting costs, boosting revenue, and navigating governmental reimbursement and regulatory systems.28 As the population ages and healthcare spending becomes a larger share of the overall economy, healthcare consulting is expected to grow as well.
Similarly, IT consulting is seeing strong demand. Companies turn to these services to address a specific IT concern or to develop a strategy around an emerging technology. The latter has become particularly relevant recently with the emergence of AI consulting. Firms are seeking guidance on how to implement AI, including generative AI programs, into their operations.29 Questions such as which functions to automate, how much to invest in AI, and which platforms provide the most benefit can be addressed by IT consulting. As AI has a wide range of potential uses but also uncertainty in how and when to implement it, IT consulting services are expected to be in high demand to help firms develop an approach to implementing AI tools.
The top-employed occupation in the management, scientific, and technical consulting services industry is management analysts. Also known as management consultants, these workers meet with clients, develop plans and proposals, and present solutions via presentations and reports. These workers are projected to grow 8.8 percent from 2024 to 2034, much faster than the average for all occupations. Market research analysts and marketing specialists (who analyze how to attract customers) and general and operations managers (who are the higher level managers in this industry) are also highly concentrated here and are projected to grow 6.7 percent and 4.4 percent over the projections period, respectively.
Training and development specialists are also employed in this industry and are expected to see a much faster-than-average employment growth of 10.8 percent for 2024–34. This is another example of an occupation positively impacted by the emergence of AI, as these specialists will be in demand to train employees on the latest iterations of AI platforms as they are implemented by their firms.30
As discussed, technological change has widespread economic impacts: supporting demand for certain occupations and automating tasks performed by others. But before new technology can be used, it must be originated. That largely happens in the research and development in the physical, engineering, and life sciences industry (scientific R&D for short). As there is strong demand to develop new technology, this industry is projected to see fast employment growth, of 8.7 percent, from 2024 to 2034.
Again, while a wide variety of industries have scientific R&D needs, the segments seeing the strongest demand in this industry are associated with broader economic trends, and among these is the strong growth of healthcare services. Health- and biotechnology-related research, including research on diseases, DNA, pharmaceutical development, and medical equipment, is expected to be in strong demand. With a rise in chronic conditions, there will be increased efforts to find ways to prevent or cure conditions such as Alzheimer’s, cancer, and diabetes.31 In addition, scientific R&D efforts will be geared towards technology that can more effectively detect and help diagnose health issues, including remote patient monitoring and wearable sensors.32 The occupations expected to see the most demand over the projections period due to this trend include medical scientists, except epidemiologists (projected to grow 8.7 percent for 2024–34); biochemists and biophysicists (5.8 percent); and bioengineers and biomedical engineers (5.2 percent).
Demand associated with the development and improvement of AI itself also contributes to employment growth—and the scientific R&D industry is an example. AI labs develop the AI tools and platforms that are used by the wider public.33 This includes generating ideas for new tools, initial buildout, testing and improving platforms, and incorporating user feedback. The continuous need to evaluate and improve these platforms is a source of ongoing demand here, as AI platforms, including LLMs, release periodic updates to their models as improvements are incorporated. The strong projected growth for software developers (an occupation discussed in the information section) is driven in part by the strong growth in the scientific R&D industry.
Other technologies are also developed through scientific R&D, including automated machinery and processes used in manufacturing (including collaborative robots, 3D printing, and robotic process automation).34 While the downstream effects of these technologies are to automate production tasks, which reduces labor needs, there is a positive employment effect in this industry for the workers needed to develop the technologies. These include mechanical engineers and industrial engineers, both of which are projected to grow much faster than the all-occupation average, at 9.1 percent and 11.0 percent, respectively. In addition, the need to develop new telecommunications technology is expected to boost demand for electronics engineers, except computer, which is projected to grow 6.2 percent over the projections period, faster than the all-occupation average. While the scientific R&D industry employs a large number of mechanical and industrial engineers, they are also employed heavily in the engineering services industry, which is projected to grow 4.2 percent for 2024–34.
Adjacent to professional and business services is the finance and insurance sector, which is projected to grow 3.4 percent from 2024 to 2034. (See chart 8.) Within this sector, the securities, commodity contracts, and other financial investments and related activities industry is projected to grow at a faster-than-average rate of 6.0 percent for 2024–34. As the last of the baby boomers move into the traditional retirement age groups over the 2024–34 decade (the youngest of whom were 60 as of 2024), there will continue to be strong demand for financial planning services to help these individuals plan for their retirements.35 Individuals will seek planning advice on how much to save and invest, how to allocate finances, and when they can expect to retire via different investment plans. In addition, older individuals may also seek estate planning services to prepare for how their assets will be handled after their death.
Year | Finance and insurance sector employment (in millions) |
|---|---|
2004 | 6.0 |
2005 | 6.1 |
2006 | 6.2 |
2007 | 6.2 |
2008 | 6.1 |
2009 | 5.8 |
2010 | 5.8 |
2011 | 5.8 |
2012 | 5.8 |
2013 | 5.9 |
2014 | 5.9 |
2015 | 6.0 |
2016 | 6.1 |
2017 | 6.3 |
2018 | 6.3 |
2019 | 6.4 |
2020 | 6.5 |
2021 | 6.5 |
2022 | 6.7 |
2023 | 6.7 |
2024 | 6.7 |
2025 | [1] |
2026 | [1] |
2027 | [1] |
2028 | [1] |
2029 | [1] |
2030 | [1] |
2031 | [1] |
2032 | [1] |
2033 | [1] |
2034 | 6.9 |
[1] Indicates that the U.S. Bureau of Labor Statistics does not project employment for interim years 2025–33. Notes: Data refer to wage and salary employment. Source: U.S. Bureau of Labor Statistics. | |
Personal financial advisors is the top-employed occupation in this industry and is projected to grow 9.6 percent from 2024 to 2034, much faster than the average for all occupations. These workers handle the individual financial advisory services related to retirement and estate planning. While AI-powered robo-advisors have emerged as an alternative to human advisors, it is expected that this will only have a mild effect on employment for these workers, as older clients with sophisticated financial planning needs are unlikely to trust automated recommendations.36 Other occupations concentrated in the industry include financial and investment analysts (who evaluate potential investments), and securities, commodities, and financial services sales agents, who sell financial securities. These workers are projected to grow 5.7 percent and 3.3 percent from 2024 to 2034, respectively. (See table 4).
| 2024 National Employment Matrix code | 2024 National Employment Matrix title | Employment, 2024 | Projected employment, 2034 | Projected numeric change in employment, 2024–34 | Projected percent change in employment, 2024–34 | Rank |
|---|---|---|---|---|---|---|
TE1000 | Total employment | 169,956.1 | 175,167.9 | 5,211.8 | 3.1 | 1 |
Industry employment | ||||||
54 | Professional, scientific, and technical services | 10,825.8 | 11,638.3 | 812.5 | 7.5 | 2nd of 20 |
541330 | Engineering services | 1,179.6 | 1,228.9 | 49.3 | 4.2 | 104th of 292 |
541600 | Management, scientific, and technical consulting services | 1,864.7 | 2,039.3 | 174.6 | 9.4 | 30th of 292 |
541710 | Research and development in the physical, engineering, and life sciences | 866.7 | 942.5 | 75.8 | 8.7 | 34th of 292 |
52 | Finance and insurance | 6,702.8 | 6,929.2 | 226.4 | 3.4 | 10th of 20 |
523000 | Securities, commodity contracts, and other financial investments and related activities | 1,084.9 | 1,150.3 | 65.4 | 6.0 | 58th of 292 |
Occupational employment | ||||||
11-0000 | Management occupations | 13,607.6 | 14,441.0 | 833.4 | 6.1 | 5th of 22 |
11-1021 | General and operations managers | 3,712.9 | 3,876.8 | 164.0 | 4.4 | 247th of 832 |
13-0000 | Business and financial operations occupations | 11,262.0 | 11,848.9 | 586.9 | 5.2 | 7th of 22 |
13-1111 | Management analysts | 1,075.1 | 1,169.7 | 94.5 | 8.8 | 76th of 832 |
13-1151 | Training and development specialists | 452.3 | 501.0 | 48.7 | 10.8 | 58th of 832 |
13-1161 | Market research analysts and marketing specialists | 941.7 | 1,004.7 | 63.0 | 6.7 | 122nd of 832 |
13-2051 | Financial and investment analysts | 368.5 | 389.6 | 21.1 | 5.7 | 171st of 832 |
13-2052 | Personal financial advisors | 326.0 | 357.2 | 31.2 | 9.6 | 64th of 832 |
17-0000 | Architecture and engineering occupations | 2,648.4 | 2,788.3 | 139.9 | 5.3 | 6th of 22 |
17-2112 | Industrial engineers | 351.1 | 389.6 | 38.5 | 11.0 | 55th of 832 |
17-2141 | Mechanical engineers | 293.1 | 319.6 | 26.5 | 9.1 | 74th of 832 |
17-2072 | Electronics engineers, except computer | 95.9 | 101.8 | 6.0 | 6.2 | 144th of 832 |
41-0000 | Sales and related occupations | 14,532.6 | 14,234.8 | -297.8 | -2.0 | 20th of 22 |
41-3031 | Securities, commodities, and financial services sales agents | 514.5 | 531.6 | 17.1 | 3.3 | 356th of 832 |
1 Indicates that data are not available. Notes: Employment in thousands of jobs. Employment for industries is wage and salary. Employment for occupations is total employment, which includes wage and salary employment in all industries and self-employment. Ranks refer to the rank of the employment percent change relative to all 22 occupational groups, 292 detailed industries, or 832 occupations. Source: U.S. Bureau of Labor Statistics. | ||||||
The information sector is projected to be the third-fastest growing sector of the economy between 2024 and 2034, with employment growing at a much faster-than-average pace of 6.5 percent. (See charts 2 and 9.) Job growth will be primarily driven by two industries: software publishers and computing infrastructure providers, data processing, web hosting, and related services. These two industries are projected to experience rapid employment growth due to the strong and growing demand for IT products and services, such as software, cybersecurity, cloud computing, and AI-based systems. This strong demand is likewise expected to boost job growth in computer systems design and related services, an industry classified under the professional, scientific, and technical services sector. Employment in each of these 3 industries is expected to grow at least 15 percent over the projections period, placing them among the 15 fastest growing industries in the economy. (See chart 4.) Notably, both software publishers and computer systems design and related services also rank among the 15 industries projected to add the most jobs from 2024 to 2034.
Year | Information sector employment (in millions) |
|---|---|
2004 | 3.1 |
2005 | 3.1 |
2006 | 3.0 |
2007 | 3.0 |
2008 | 3.0 |
2009 | 2.8 |
2010 | 2.7 |
2011 | 2.7 |
2012 | 2.7 |
2013 | 2.7 |
2014 | 2.7 |
2015 | 2.8 |
2016 | 2.8 |
2017 | 2.8 |
2018 | 2.8 |
2019 | 2.9 |
2020 | 2.7 |
2021 | 2.9 |
2022 | 3.1 |
2023 | 3.0 |
2024 | 2.9 |
2025 | [1] |
2026 | [1] |
2027 | [1] |
2028 | [1] |
2029 | [1] |
2030 | [1] |
2031 | [1] |
2032 | [1] |
2033 | [1] |
2034 | 3.1 |
[1] Indicates that the U.S. Bureau of Labor Statistics does not project employment for interim years 2025–33. Notes: Data refer to wage and salary employment. Source: U.S. Bureau of Labor Statistics. | |
Because computer and mathematical occupations have a high concentration of employment in the three IT-related industries just discussed, the trends expected to drive industry job growth will also fuel employment growth across several of these occupations. Overall, the computer and mathematical occupational group is projected to see job growth of 10.1 percent over the 2024–34 decade, the second-fastest of all 22 groups and over 3 times as fast as the all-occupation average. (See chart 3.) Furthermore, 5 of the 15 fastest growing occupations are in the computer and mathematical group. (See chart 5).
IT professionals will be in demand to design, install, integrate, test, and manage organizations’ IT infrastructure. Companies will continue to prioritize investment in IT infrastructure, whether hardware or software, to support business operations.37 In addition, firms in various industries will continue to rely on custom software to address their unique business needs.38 These factors will fuel demand for computer systems design and related services, resulting in strong job growth. From 2024 to 2034, this industry is projected to experience both the fastest job growth and the most job gains in the professional, scientific, and technical services sector.
At the same time, strong demand for software development across many areas of the economy will boost employment in the software publishers industry, which designs, develops, and publishes software for mass distribution. One occupation that stands to benefit from these trends is software developers. Not only are they projected to experience employment growth that is over 5 times faster than the all-occupation average (15.8 percent), but they are also projected to have the second-largest increase in employment of all occupations with 267,700 new jobs added through 2034.
Meanwhile, the rising number, sophistication, and costs of cyberattacks has made cybersecurity a chief concern for enterprises of all sizes across many industries.39 For example, the healthcare industry has witnessed a wave of data breaches in recent years, with the number of compromised healthcare records reaching an all-time high in 2024.40 With cyberattack risks becoming larger and more complex, firms will continue to invest in cybersecurity services to protect their data and networks. This is expected to boost demand for information security analysts, who are projected to see employment growth of 28.5 percent from 2024 to 2034—making it the fastest growing computer occupation and fifth-fastest growing occupation overall. (See chart 5.)
The growing adoption of AI technologies, including generative AI tools, is another factor that will fuel strong job growth among computer and mathematical occupations. Firms in various industries will increasingly integrate AI-based systems into workflows to improve productivity and enhance operations.41 Developing, implementing, and leveraging these technologies will require expertise from workers trained in computer science, programming, software development, and data analysis. Therefore, demand for occupations such as data scientists, computer and information research scientists, and software developers is set to rise substantially over the coming years. For example, data scientists are projected to experience a 33.5-percent increase in employment between 2024 and 2034, making it the fastest growing mathematical science occupation and fourth-fastest growing occupation overall. Rapid job growth is expected for computer and information research scientists as well (19.7 percent), with the occupation ranking among the top-15 fastest growing occupations. (See chart 5.)
Furthermore, businesses will continue to invest in cloud computing and cloud-based services for various functions, such as data storage and management.42 Greater uptake of AI will only add to cloud computing demand, as AI systems often run on cloud infrastructure. Additionally, because training and deploying AI engines requires substantial amounts of computing power, the growing use of AI is set to significantly raise demand for data centers.43 Altogether, strong demand for cloud and data processing services will create many job opportunities in the computing infrastructure providers, data processing, web hosting, and related services industry. With projected employment growth of 20.3 percent over the 2024–34 decade, this industry ranks as the fastest growing industry in the information sector and ninth-fastest growing industry in the economy. (See chart 4.)
Tied to the increased use of AI is the massive increase in the volume of data generated, which is expected to fuel job growth among many mathematical science occupations. These workers will be in demand to help firms across a wide range of industries process and analyze data to identify trends and inform decision making. Relevant occupations include data scientists, actuaries, and operations research analysts, all of which are projected to see job growth of at least 20 percent between 2024 and 2034, placing them in the top-15 fastest growing occupations list. (See chart 5 and table 5.)
| 2024 National Employment Matrix code | 2024 National Employment Matrix title | Employment, 2024 | Projected employment, 2034 | Projected numeric change in employment, 2024–34 | Projected percent change in employment, 2024–34 | Rank |
|---|---|---|---|---|---|---|
TE1000 | Total employment | 169,956.1 | 175,167.9 | 5,211.8 | 3.1 | 1 |
Industry employment | ||||||
51 | Information | 2,942.8 | 3,135.1 | 192.3 | 6.5 | 3rd of 20 |
513200 | Software publishers | 645.7 | 770.3 | 124.6 | 19.3 | 11th of 292 |
518000 | Computing infrastructure providers, data processing, web hosting, and related services | 482.6 | 580.5 | 97.9 | 20.3 | 9th of 292 |
54 | Professional, scientific, and technical services | 10,825.8 | 11,638.3 | 812.5 | 7.5 | 2nd of 20 |
541500 | Computer systems design and related services | 2,444.8 | 2,831.6 | 386.8 | 15.8 | 13th of 292 |
Occupational employment | ||||||
15-0000 | Computer and mathematical occupations | 5,416.7 | 5,962.3 | 545.6 | 10.1 | 2nd of 22 |
15-1200 | Computer occupations | 4,985.6 | 5,414.4 | 428.8 | 8.6 | 1 |
15-1212 | Information security analysts | 182.8 | 234.9 | 52.1 | 28.5 | 5th of 832 |
15-1221 | Computer and information research scientists | 40.3 | 48.3 | 7.9 | 19.7 | 13th of 832 |
15-1252 | Software developers | 1,693.8 | 1,961.4 | 267.7 | 15.8 | 24th of 832 |
15-2000 | Mathematical science occupations | 431.1 | 547.9 | 116.8 | 27.1 | 1 |
15-2011 | Actuaries | 33.6 | 40.9 | 7.3 | 21.8 | 8th of 832 |
15-2031 | Operations research analysts | 112.1 | 136.2 | 24.1 | 21.5 | 9th of 832 |
15-2051 | Data scientists | 245.9 | 328.3 | 82.5 | 33.5 | 4th of 832 |
1 Indicates that data are not available. Notes: Employment in thousands of jobs. Employment for industries is wage and salary. Employment for occupations is total employment, which includes wage and salary employment in all industries and self-employment. Ranks refer to the rank of the employment percent change relative to all 20 sectors, 292 detailed industries, 22 occupational groups, or 832 occupations. Computer occupations and mathematical science occupations are summary level occupations and therefore are not ranked. Source: U.S. Bureau of Labor Statistics. | ||||||
The educational services sector makes up the third largest sector in the economy, with approximately 14.7 million jobs. Like with healthcare, demographic change is the predominant factor affecting projected demand. Declining birth rates are translating to fewer school-age children, and consequently little or no employment change (0.1-percent growth) is projected for the educational services sector. (See charts 2 and 10.)
Year | Educational services employment (in millions) |
|---|---|
2004 | 12.8 |
2005 | 13.0 |
2006 | 13.1 |
2007 | 13.2 |
2008 | 13.5 |
2009 | 13.5 |
2010 | 13.5 |
2011 | 13.5 |
2012 | 13.5 |
2013 | 13.5 |
2014 | 13.6 |
2015 | 13.7 |
2016 | 13.9 |
2017 | 14.1 |
2018 | 14.2 |
2019 | 14.3 |
2020 | 13.5 |
2021 | 13.7 |
2022 | 14.0 |
2023 | 14.4 |
2024 | 14.7 |
2025 | [1] |
2026 | [1] |
2027 | [1] |
2028 | [1] |
2029 | [1] |
2030 | [1] |
2031 | [1] |
2032 | [1] |
2033 | [1] |
2034 | 14.7 |
[1] Indicates that the U.S. Bureau of Labor Statistics does not project employment for interim years 2025–33. Notes: Data refer to wage and salary employment. Source: U.S. Bureau of Labor Statistics. | |
For elementary and secondary schools, the biggest driver of employment demand is the decline in the population of children who attend these schools. Per the U.S. Census Bureau’s most recent 2023 population projections, the population of the elementary and secondary education age group (ages 5 to 18) is projected to decline 6.7 percent from 2023 to 2033.44 In turn, enrollment in elementary and secondary educational institutions is projected to decline 5.5 percent from 2023 to 2031.45 With fewer children attending these schools, there will be reduced employment demand for teachers and other workers in K–12 schools. Employment in the local government elementary and secondary schools industry is projected to decline 2.5 percent from 2024 to 2034. With employment of 7.6 million as of 2024, this translates to a net job loss of 187,900 through 2034. Meanwhile, the private elementary and secondary schools industry, which employed approximately 1.2 million workers in 2024, is projected to decline by 0.4 percent over the projections period. Employment of elementary and middle school teachers is projected to decline 2.0 percent, while secondary school teachers will face a projected decline of 1.6 percent over the decade.
Demographic change is also affecting the 18- to 22-year-old age group, whose population is projected to decline 4.9 percent from 2023 to 2033.46 However, this is expected to be outweighed by the rising share of that population seeking higher education degrees. This upward trend is expected to continue, and enrollment in in degree-granting postsecondary institutions is expected to rise 6.8 percent from 2023 to 2031.47 To meet this rising demand, employment at state colleges, universities, and professional schools is projected to grow by 5.2 percent, which is an approximate gain of 117,300 jobs. Employment at private colleges, universities, and professional schools is projected to grow at 0.4 percent, a slower rate than the state schools.
Alongside the employment growth in the state and private colleges, universities, and professional schools industries, postsecondary teacher occupations are expected to grow faster than average, at 5.9 percent. Health professions and related programs, engineering, and biological and biomedical sciences are top fields of undergraduate study.48 These trends are expected to continue because of projected high demand for health-, engineering-, and biological- and biomedical-related occupations in the economy, which will support demand for postsecondary teacher occupations in these fields. Postsecondary health specialties teachers and postsecondary nursing instructors and teachers are projected to grow 17.3 percent and 16.8 percent, respectively. Demand for health specialty degrees is expected to remain robust, a result of the high demand for medical professionals across specialties. Also expected to grow at a much faster-than-average rate is the employment of both postsecondary engineering teachers (8.1 percent) and postsecondary biological science teachers (7.3 percent).
The private other schools and instruction industry, which ranks fifth in employment in the educational services sector, is expected to see strong employment growth for 2024–34. This is largely due to sports and recreation instruction, as rising societal interest in exercise and fitness drives demand for these types of lessons and classes.49 This industry is projected to grow 7.0 percent over the projections decade. Occupations that teach these lessons include coaches and scouts and exercise trainers and group fitness instructors, which are projected to grow 6.4 percent and 11.9 percent from 2024 to 2034, respectively. (See table 6.)
| 2024 National Employment Matrix code | 2024 National Employment Matrix title | Employment, 2024 | Projected employment, 2034 | Projected numeric change in employment, 2024–34 | Projected percent change in employment, 2024–34 | Rank |
|---|---|---|---|---|---|---|
TE1000 | Total employment | 169,956.1 | 175,167.9 | 5,211.8 | 3.1 | 1 |
Industry employment | ||||||
61 | Educational services; state, local, and private | 14,704.4 | 14,716.3 | 11.9 | 0.1 | 16th of 20 |
61110L | Elementary and secondary schools; local | 7,600.9 | 7,413.0 | -187.9 | -2.5 | 230th of 292 |
61110P | Elementary and secondary schools; private | 1,199.4 | 1,194.6 | -4.8 | -0.4 | 211th of 292 |
61130P | Colleges, universities, and professional schools; private | 1,763.0 | 1,770.8 | 7.9 | 0.4 | 201st of 292 |
61130S | Colleges, universities, and professional schools; state | 2,242.9 | 2,360.2 | 117.3 | 5.2 | 76th of 292 |
61160P | Other schools and instruction; private | 550.2 | 588.5 | 38.3 | 7.0 | 46th of 292 |
Occupational employment | ||||||
25-0000 | Educational instruction and library occupations | 9,813.2 | 9,875.4 | 62.2 | 0.6 | 18th of 22 |
25-1000 | Postsecondary teachers | 1,721.2 | 1,822.1 | 100.9 | 5.9 | 1 |
25-1032 | Engineering teachers, postsecondary | 50.3 | 54.4 | 4.1 | 8.1 | 93rd of 832 |
25-1042 | Biological science teachers, postsecondary | 66.0 | 70.8 | 4.8 | 7.3 | 107th of 832 |
25-1070 | Health teachers, postsecondary | 381.2 | 446.6 | 65.4 | 17.2 | 1 |
25-1071 | Health specialties teachers, postsecondary | 289.6 | 339.7 | 50.1 | 17.3 | 17th of 832 |
25-1072 | Nursing instructors and teachers, postsecondary | 91.6 | 106.9 | 15.3 | 16.8 | 19th of 832 |
25-2020 | Elementary and middle school teachers | 2,070.4 | 2,029.9 | -40.6 | -2.0 | 1 |
25-2030 | Secondary school teachers | 1,197.9 | 1,178.2 | -19.7 | -1.6 | 1 |
27-0000 | Arts, design, entertainment, sports, and media occupations | 3,021.1 | 3,104.6 | 83.5 | 2.8 | 14th of 22 |
27-2022 | Coaches and scouts | 306.5 | 326.0 | 19.5 | 6.4 | 137th of 832 |
39-0000 | Personal care and service occupations | 4,464.1 | 4,650.6 | 186.5 | 4.2 | 11th of 22 |
39-9031 | Exercise trainers and group fitness instructors | 370.1 | 414.2 | 44.1 | 11.9 | 45th of 832 |
1 Indicates that data are not available. Notes: Employment in thousands of jobs. Employment for industries is wage and salary. Employment for occupations is total employment, which includes wage and salary employment in all industries and self-employment. Ranks refer to the rank of the employment percent change relative to all 20 sectors, 292 detailed industries, 22 occupational groups, or 832 occupations. Postsecondary teachers, elementary and middle school teachers, and secondary school teachers are summary level occupations and therefore are not ranked. Source: U.S. Bureau of Labor Statistics. | ||||||
Employment in the retail trade sector is projected to decline between 2024 and 2034. (See chart 11.) Although 4 of 20 sectors are expected to see employment decreases over the projections decade, the decline in retail trade is by far the largest, shedding a total of 181,900 jobs. (See chart 2.) The bulk of the sector’s job losses, approximately 75 percent, are concentrated in the gasoline stations industry. The growth of the electric vehicle (EV) market is the main factor expected to dampen employment demand in this industry. As EV sales continue to rise, the EV share of the total vehicle stock is expected to increase while the stock of internal combustion engine vehicles is expected to shrink.50 With fewer internal combustion engine vehicles on the road, demand for fueling services at gas stations is likely to fall, resulting in job losses.
Year | Retail trade employment (in millions) |
|---|---|
2004 | 15.0 |
2005 | 15.3 |
2006 | 15.3 |
2007 | 15.5 |
2008 | 15.3 |
2009 | 14.5 |
2010 | 14.4 |
2011 | 14.6 |
2012 | 14.8 |
2013 | 15.0 |
2014 | 15.3 |
2015 | 15.6 |
2016 | 15.8 |
2017 | 15.8 |
2018 | 15.7 |
2019 | 15.6 |
2020 | 14.8 |
2021 | 15.3 |
2022 | 15.5 |
2023 | 15.6 |
2024 | 15.5 |
2025 | [1] |
2026 | [1] |
2027 | [1] |
2028 | [1] |
2029 | [1] |
2030 | [1] |
2031 | [1] |
2032 | [1] |
2033 | [1] |
2034 | 15.4 |
[1] Indicates that the U.S. Bureau of Labor Statistics does not project employment for interim years 2025–33. Notes: Data refer to wage and salary employment. Source: U.S. Bureau of Labor Statistics. | |
Excluding the auto and gas segments, the core factor expected to impact retail trade employment is continued e-commerce growth. The COVID-19 pandemic led to a boom in online shopping, with the e-commerce share of total retail sales jumping from 10.6 percent in 2019 to 14.5 percent in 2020. Although the share of e-commerce decreased as consumer spending patterns normalized, it soon resumed its upward trend to reach an all-time high of 16.1 percent in 2024.51 Going forward, it is largely expected that online sales will continue to grow and take up an increasing share of the retail market. This growth will impact some industries more than others, however. In particular, industries whose product categories face a high degree of online competition are expected to experience notable declines in employment. These include, for example, furniture and home furnishings retailers, sporting goods retailers, clothing and clothing accessories retailers, and electronics and appliance retailers—all of which have seen a relatively high level of online sales in recent years.52
Retailers have deployed various strategies to keep pace with the growing online economy and shifting consumer behavior. One major tactic has been to adopt an omnichannel retail approach, with the goal of providing customers with a seamless and convenient shopping experience across online platforms and physical stores. One industry that stands out in this space is general merchandise retailers, which is projected to have the largest increase in jobs in the retail trade sector with 75,500 new positions added between 2024 and 2034. Firms within this industry, particularly warehouse clubs and supercenters, demonstrated resilience during the pandemic, in large part due to having deployed platforms that allowed consumers to buy online and pickup in store.53
Today, e-commerce has become a key driver of business growth for mass merchants. For instance, they have been able to leverage their e-commerce infrastructure to significantly expand their presence in the online grocery market, taking market share away from traditional supermarkets.54 In addition to their strong e-commerce platforms, these firms’ discounted price offerings, extensive product range including private label brands, customer loyalty programs, and overall value proposition to shoppers are factors that will drive business growth forward and boost industry employment.55 At the same time, these factors have enabled mass retailers to position themselves as major players in the food retail market. This increasingly competitive environment is likely to put pressure on the grocery and specialty food retailers industry, which is projected to see employment fall over the 2024–34 decade. With 30,800 jobs lost, this industry is expected to experience the third-largest employment decline within the retail trade sector.
Sales and related occupations is the occupational group most closely tied to the retail trade sector. Thus, employment losses are expected as well, with the group projected to shed 297,800 net positions over 2024–34. (See chart 3.) These job losses will be primarily driven by cashiers, which is the occupation projected to experience the most job loss of any occupation—roughly 314,000—from 2024 to 2034. The increasing adoption of self-checkout systems across the retail industry is the main factor expected to constrain demand for these workers. Self-checkout reduces the need for labor because the main task of scanning and bagging items is transferred to the customer. And by having one cashier manage multiple stations, it allows the retailer to capture efficiency gains. 56 Retail salespersons is another occupation whose employment is highly concentrated in retail trade industries. Therefore, they are expected to be similarly impacted by the growing popularity of online shopping as fewer in-store workers may be needed. Although not as stark as cashiers, retail salespersons are projected to shed close to 20,000 jobs over the projections decade.
Although e-commerce growth is expected to constrain retail trade employment, it will provide support to jobs in the logistics and distribution space—areas mostly covered by the transportation and warehousing sector. (See chart 12.) This sector is expected to experience average employment growth and add 198,800 jobs between 2024 and 2034, the seventh-largest increase of all 20 sectors. (See chart 2.) Most of those employment gains are concentrated in four industries: couriers and express delivery services, freight transportation arrangement, warehousing and storage, and local messengers and local delivery. Notably, the freight transportation arrangement industry is projected to grow 10.0 percent over the 2024–34 decade, the fastest of all industries in the transportation and warehousing sector.
Year | Transportation and warehousing employment (in millions) |
|---|---|
2004 | 4.2 |
2005 | 4.3 |
2006 | 4.5 |
2007 | 4.5 |
2008 | 4.5 |
2009 | 4.2 |
2010 | 4.2 |
2011 | 4.3 |
2012 | 4.4 |
2013 | 4.5 |
2014 | 4.6 |
2015 | 4.9 |
2016 | 5.0 |
2017 | 5.2 |
2018 | 5.4 |
2019 | 5.7 |
2020 | 5.6 |
2021 | 6.1 |
2022 | 6.6 |
2023 | 6.6 |
2024 | 6.7 |
2025 | [1] |
2026 | [1] |
2027 | [1] |
2028 | [1] |
2029 | [1] |
2030 | [1] |
2031 | [1] |
2032 | [1] |
2033 | [1] |
2034 | 6.9 |
[1] Indicates that the U.S. Bureau of Labor Statistics does not project employment for interim years 2025–33. Notes: Data refer to wage and salary employment. Source: U.S. Bureau of Labor Statistics. | |
The growth of online purchases translates into an increasing volume of packages that need delivery. The growing demand for product shipping and delivery, including perishable items like food and groceries, will support employment growth in both the couriers and express delivery services and local messengers and local delivery industries. Both of these industries are projected to see faster job growth than the average for the overall economy. At the same time, increasing freight activity will fuel demand for logistics management services, which is expected to result in strong job growth in the freight transportation arrangement industry.
The growing demand for e-commerce logistics is expected to result in rapid job gains for the following occupations: driver/sales workers, cargo and freight agents, stockers and order fillers, and light truck drivers. These workers are all projected to see employment grow much faster than the all-occupation average. Additionally, with the exception of cargo and freight agents, they are all concentrated in the transportation and material moving occupational group, which is projected to experience only average job growth between 2024 and 2034. Because of its size, however, it is expected to add the fifth-largest number of jobs of all 22 groups, with stockers and order fillers alone accounting for about 40 percent of the group’s 579,900 job gains over 2024–34.
Meanwhile, although the expansion of e-commerce is set to raise demand for warehousing and storage services, relatively weaker job growth is expected in this industry. This is because warehousing firms are increasingly implementing automation solutions to operate more efficiently, such as warehouse management systems, automated guided vehicles, robots, and AI-based systems.57 The productivity gains stemming from the adoption of these technologies are expected to limit labor demand and thus lead to slower-than-average employment growth in the warehousing and storage services industry from 2024 to 2034. (See table 7.)
| 2024 National Employment Matrix code | 2024 National Employment Matrix title | Employment, 2024 | Projected employment, 2034 | Projected numeric change in employment, 2024–34 | Projected percent change in employment, 2024–34 | Rank |
|---|---|---|---|---|---|---|
TE1000 | Total employment | 169,956.1 | 175,167.9 | 5,211.8 | 3.1 | 1 |
Industry employment | ||||||
44‒45 | Retail trade | 15,532.0 | 15,350.1 | -181.9 | -1.2 | 19th of 20 |
4450A1 | Grocery and specialty food retailers | 3,052.4 | 3,021.6 | -30.8 | -1.0 | 216th of 292 |
449100 | Furniture and home furnishings retailers | 409.1 | 389.0 | -20.1 | -4.9 | 247th of 292 |
449200 | Electronics and appliance retailers | 397.0 | 382.3 | -14.7 | -3.7 | 240th of 292 |
455000 | General merchandise retailers | 3,265.5 | 3,341.0 | 75.5 | 2.3 | 159th of 292 |
457100 | Gasoline stations | 983.4 | 845.2 | -138.2 | -14.1 | 279th of 292 |
458100 | Clothing and clothing accessories retailers | 841.3 | 824.4 | -16.9 | -2.0 | 227th of 292 |
459110 | Sporting goods retailers | 299.2 | 281.7 | -17.5 | -5.8 | 255th of 292 |
48‒49 | Transportation and warehousing | 6,654.5 | 6,853.3 | 198.8 | 3.0 | 12th of 20 |
488500 | Freight transportation arrangement | 266.1 | 292.8 | 26.7 | 10.0 | 27th of 292 |
492100 | Couriers and express delivery services | 909.8 | 953.2 | 43.4 | 4.8 | 85th of 292 |
492200 | Local messengers and local delivery | 186.6 | 202.2 | 15.6 | 8.4 | 35th of 292 |
493000 | Warehousing and storage | 1,849.1 | 1,875.1 | 26.0 | 1.4 | 182nd of 292 |
Occupational employment | ||||||
41-0000 | Sales and related occupations | 14,532.6 | 14,234.8 | -297.8 | -2.0 | 20th of 22 |
41-2011 | Cashiers | 3,157.2 | 2,843.6 | -313.6 | -9.9 | 777th of 832 |
41-2031 | Retail salespersons | 3,936.7 | 3,917.1 | -19.6 | -0.5 | 604th of 832 |
43-0000 | Office and administrative support occupations | 19,325.2 | 18,563.3 | -761.9 | -3.9 | 22nd of 22 |
43-5011 | Cargo and freight agents | 100.6 | 109.2 | 8.6 | 8.5 | 88th of 832 |
53-0000 | Transportation and material moving occupations | 14,204.6 | 14,784.4 | 579.9 | 4.1 | 12th of 22 |
53-3031 | Driver/sales workers | 451.5 | 491.3 | 39.8 | 8.8 | 75th of 832 |
53-3033 | Light truck drivers | 1,079.8 | 1,158.6 | 78.9 | 7.3 | 106th of 832 |
53-7065 | Stockers and order fillers | 2,764.8 | 2,999.8 | 235.0 | 8.5 | 89th of 832 |
1 Indicates that data are not available. Notes: Employment in thousands of jobs. Employment for industries is wage and salary. Employment for occupations is total employment, which includes wage and salary employment in all industries and self-employment. Ranks refer to the rank of the employment percent change relative to all 20 sectors, 292 detailed industries, 22 occupational groups, or 832 occupations. Source: U.S. Bureau of Labor Statistics. | ||||||
Projected total employment is determined in large part by projected changes in the civilian noninstitutional population and labor force. These aggregate projections are used to develop output and employment projections by industry, which form the basis for occupational employment projections.58
BLS produces occupational employment projections by analyzing current and future staffing patterns (the distribution of occupations within an industry) in an industry–occupation matrix. Changes in the staffing pattern for each industry are projected and applied to the final industry projections, which yield detailed occupational projections by industry. This projected employment matrix, known as the National Employment Matrix, includes estimates for 832 detailed occupations across 292 detailed industries published by the Employment Projections program.
This article highlights the expected changes to industry and occupational employment over the 2024–34 decade and the likely reasons for those changes. The employment projections for the occupations that are featured in this article represent the total employment change for workers across the economy. Many of these occupations may have a high concentration of employment in specific industries. Therefore, the trends expected to affect employment in those specific industries largely drive the employment changes projected across these occupations. However, the employment outlook of occupations can also be influenced by factors specific to an occupation or by trends affecting other industries in which the workers in the occupation are employed. Similarly, the impact of technological developments and trends is just one facet of the outlook for the industries and occupations discussed above. In some cases, these technological developments and trends may be the main drivers of change over the projection horizon; in other cases, it may be one factor among many.
Projections methods are heavily based on historical relationships in the data. Nevertheless, BLS also conducts research on factors that are expected to affect employment, which may not be reflected in historical data, such as new technologies and legislation. BLS generally applies adjustments based on this research conservatively, such as when there is convincing evidence for a change in projections. BLS issues new projections annually to incorporate new data, research, and analysis. The analysis in this article reflects the research that BLS uses to develop and validate its projections.
Recent rapid developments in AI have raised the prospect that the future rate of technological progress could be faster than the historical pattern. The uncertainty about the potential impacts of AI remains very high. Projections always carry a degree of uncertainty, and the exact effect of developments, such as new technologies, on the labor market 10 years in the future is impossible to predict with precision. The historical record does show that technology impacts occupations, but that these technological changes tend to be gradual and not sudden.59 Occupations are complex combinations of tasks, and even when technology advances rapidly, it can take time for employers and workers to figure out how to incorporate new technology into business practices. New technologies may change the composition or weighting of tasks performed by an occupation even if they do not impact overall demand for an occupation.
Similarly, changes in governmental policy can affect demand for occupations and industries. Factors such as funding levels, tax incentives, and regulations can alter employment demand patterns. While there will undoubtedly be changes to these over a 10-year period, BLS does not project policy change—instead, projections are based on current law. Employment effects from funding or regulation are generally applied to the matrix after being observed in the historical data. Like with the approach to technology, while research-based changes may be applied before historical data has accumulated, such adjustments are generally applied conservatively, and new projections are released annually to account for the latest data and analysis.
The sectors projected to see the fastest employment growth for 2024–34 are healthcare and social assistance and professional, scientific, and technical services. Combined, these two sectors account for more than half of the projected job gains for the economy overall. An aging population and an increasing prevalence of chronic disease and behavioral health disorders are expected to fuel job growth among industries and occupations that provide healthcare and related services. Meanwhile, strong demand for a wide range of information technology products and services is expected to drive rapid and substantial job gains in computer systems design and related services, which will contribute to fast job growth among computer and mathematical occupations. Several other professional services are projected to see fast growth, including management, scientific, and technical consulting services, and scientific research and development.
The continued development of artificial intelligence technologies is expected to boost productivity and therefore reduce employment demand for a variety of occupations, including in arts and design, sales, and administrative support. Conversely, demand for AI technologies boosts employment demand for computer occupations involved in its development and implementation.
In addition to healthcare, demographic change is also affecting the trajectory for educational services. Lower birth rates translate to fewer school-age children, and therefore declining employment in elementary and secondary schools.
The growth of e-commerce is expected to reduce demand for brick-and-mortar retail and conversely support employment growth in transportation and warehousing. Within retail trade, general merchandise retailers are projected to see some employment growth due to their ability to compete on price and offer omnichannel sales options.
Michael J. Rieley, and Javier Colato, "Industry and occupational employment projections overview and highlights, 2024–34," Monthly Labor Review, U.S. Bureau of Labor Statistics, January 2026, https://doi.org/10.21916/mlr.2026.1
1 Wage and salary employment makes up the vast majority of total employment. Total employment refers to the total count of wage and salary jobs plus the total count of self-employed workers. For more information, see the "Occupational Employment" section in “Employment Projections Methods Overview,” Employment Projections, (U.S. Bureau of Labor Statistics, last modified August 28, 2025), https://www.bls.gov/emp/documentation/projections-methods.htm#occupational_employment
2 For a discussion of the 2023–33 BLS labor force projections and underlying trends, see Kevin Dubina, “Labor force and macroeconomic projections overview and highlights, 2023–33,” Monthly Labor Review (August 2024), https://doi.org/10.21916/mlr.2024.14. For detailed 2024–34 BLS labor force projections, see the "Data Tables" section in “Labor Force Projections,” Employment Projections, (U.S. Bureau of Labor Statistics, last modified August 28, 2025), https://www.bls.gov/emp/data/labor-force.htm.
3 For a more detailed discussion of the U.S. Bureau of Labor Statistics (BLS) Employment Projections methodology, see the "Overview" section in the “Employment projections” Handbook of Methods, (U.S. Bureau of Labor Statistics, last modified September 10, 2025), https://www.bls.gov/opub/hom/emp/. Employment data for sectors and industries refer to wage and salary employment, while employment data for occupational groups and occupations refer to total employment, which includes wage and salary employment and self-employment.
4 Alongside the release of the 2024–34 employment projections on August 28, 2025, BLS released a suite of skills data tables that provide information about the importance of skills in different occupations. See “Skills data,” Employment Projections, (U.S. Bureau of Labor Statistics, last modified August 28, 2025), https://www.bls.gov/emp/data/skills-data.htm.
5 Sectors, industries, occupational groups, and occupations discussed in this article refer to National Employment Matrix (NEM) sectors, industries, occupational groups, and occupations. NEM occupations are based on the Standard Occupational Classification (SOC) system. NEM industries are based on the North American Industry Classification System (NAICS) structure. For a list of NEM occupations BLS projects employment for, see "Table 1.8 2024–34 Industry-occupation matrix data, by occupation," in “Industry-occupation matrix data, by occupation,” Employment Projections, (U.S. Bureau of Labor Statistics, last modified August 28, 2025), https://www.bls.gov/emp/tables/industry-occupation-matrix-occupation.htm. For a list of NEM industries (and their NAICS equivalents) BLS projects employment for, see "Table 1.9 2024–34 Industry-occupation matrix data, by industry," in “Industry-occupation matrix data, by industry,” Employment Projections, (U.S. Bureau of Labor Statistics, last modified August 28), 2025), https://www.bls.gov/emp/tables/industry-occupation-matrix-industry.htm.
6 BLS defines full employment as an economy in which the unemployment rate equals the nonaccelerating inflation rate of unemployment (NAIRU), no cyclical unemployment exists, and GDP is at its potential. For a more detailed discussion of the full employment assumption, see Kevin Dubina, “Full employment: an assumption within BLS projections,” Monthly Labor Review (November 2017), https://doi.org/10.21916/mlr.2017.30.
7 Michael J. Handel, "Growth trends for selected occupations considered at risk from automation," Monthly Labor Review (July 2022), https://doi.org/10.21916/mlr.2022.21.
8 AI hallucination is a term for when an artificial intelligence (AI) model creates outputs that are false or misleading but presented as factually accurate.
9 George Lawton, “How generative AI is changing creative work,” TechTarget, November 7, 2023, https://www.techtarget.com/searchenterpriseai/feature/How-generative-AI-is-changing-creative-work.
10 In this article, the adjectives used to describe the projected percent change in employment in sectors, industries, occupational groups, and occupations are categorized as follows: “Decline”: <–0.5 percent; “Little or no change”: ≥–0.5 percent and <0.5 percent; “Slower than average”: ≥0.5 percent and <2.5 percent; “As fast as average”: ≥2.5 percent and <4.5 percent; “Faster than average”: ≥4.5 percent and <6.5 percent; “Much faster than average”: ≥6.5 percent.
11 Greg Rosalsky, “If AI is so good, why are there still so many jobs for translators?,” National Public Radio, June 18, 2024, https://www.npr.org/sections/planet-money/2024/06/18/g-s1-4461/if-ai-is-so-good-why-are-there-still-so-many-jobs-for-translators.
12 Bridget K. Burke, “Using artificial intelligence to improve healthcare clinical and financial systems,” California Association of Healthcare Leaders, August 13, 2023, https://ache-cahl.org/articles/using-artificial-intelligence-to-improve-healthcare-administrative-systems/.
13 Reabal Najjar, “Redefining radiology: a review of artificial intelligence integration in medical imaging,” Diagnostics, 13, no. 17 (August 2023), doi:10.3390/diagnostics13172760.
14 Annie Fox, Jared Augenstein, Stacy Lloyd, Shannon Curtis, and Matt Reid, Future of health: the emerging landscape of augmented intelligence in health care, (American Medical Association, February 26, 2024), https://www.ama-assn.org/system/files/future-health-augmented-intelligence-health-care.pdf.
15 Mike Kaput, “AI for sales: what you need to know,” Marketing Artificial Intelligence Institute, January 26, 2024, https://www.marketingaiinstitute.com/blog/ai-in-sales.
16 Ivan Pohrebniyak, “Generative AI for sales: use cases & real-life examples,” Master of Code Global, April 23, 2024, https://masterofcode.com/blog/generative-ai-for-sales.
17 Matthew Stepka, “Law bots: how AI is reshaping the legal profession,” Business Law Today, February 21, 2022, https://businesslawtoday.org/2022/02/how-ai-is-reshaping-legal-profession/.
18 Greg Kestin, Kelly Miller, Anna Klales, Timothy Milbourne, and Gregorio Ponti, “AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting,” Scientific Reports, 15 (June 3, 2025), https://doi.org/10.1038/s41598-025-97652-6.
19 Kassandra Jimenez-Sanchez, “McKenzie Intelligence Services launches AI damage classifier to revolutionize insurance assessments,” Reinsurance News, June 6, 2024, https://www.reinsurancene.ws/mckenzie-intelligence-services-launches-ai-damage-classifier-to-revolutionise-insurance-assessments/.
20 Data refer to the civilian noninstitutional population (CNIP). For CNIP data, see "Table 3.2. Civilian noninstitutional population by age, sex, race, and ethnicity, 2004, 2014, 2024, and projected 2034" in “Civilian noninstitutional population by age, sex, race, and ethnicity,” Employment Projections, (U.S. Bureau of Labor Statistics, last modified August 28, 2025), https://www.bls.gov/emp/tables/civilian-noninstitutional-population.htm.
21 Hannah Maniates, “Why did they do it that way? home and community-based services,” National Association of Medicaid Directors, April 16, 2024, https://medicaiddirectors.org/resource/why-did-they-do-it-that-way-home-and-community-based-services/.
22 Kathleen B. Watson, Jennifer L. Wiltz, Kunthea Nhim, Rachel B. Kaufmann, Craig W. Thomas, and Kurt J. Greenlund, “Trends in multiple chronic conditions among US adults, by life stage, behavioral risk factor surveillance system, 2013–2023,” Preventing Chronic Disease, 22, Centers for Disease Control and Prevention, (April 17, 2025), http://dx.doi.org/10.5888/pcd22.240539.
23 Karen E. Joynt Maddox, Mitchell S. V. Elkind, Hugo J. Aparicio, Yvonne Commodore-Mensah, Sarah D. de Ferranti, William N. Dowd, Adrian F. Hernandez, Olga Khavjou, Erin D. Michos, Latha Palaniappan, Joanne Penko, Remy Poudel, Véronique L. Roger, and Dhruv S. Kazi, “Forecasting the burden of cardiovascular disease and stroke in the United States through 2050—prevalence of risk factors and disease: a presidential advisory from the American Heart Association,” Circulation 154, no. 4, (June 2024), https://www.ahajournals.org/doi/10.1161/CIR.0000000000001256.
24 2023 companion infographic report: results from the 2021, 2022, and 2023 national surveys on drug use and health, (SAMHSA Publication No. PEP24-07-020, Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration, July 2024), 11–12, https://www.samhsa.gov/data/sites/default/files/reports/rpt47096/2023-nsduh-companion-report.pdf.
25 Beth Kutscher, “As primary care doctors perform fewer procedures, PAs and NPs are doing more of them,” LinkedIn, July 25, 2024, https://www.linkedin.com/pulse/primary-care-doctors-perform-fewer-procedures-pas-nps-beth-kutscher-of6pf.
26 “What are unexpected benefits of working with optometric technicians?,” Optometry Magazine, August 5, 2024, https://optometrymagazine.com/qa/what-are-unexpected-benefits-of-working-with-optometric-technicians/.
27 “Transform your career trajectory in clinical operations health care management: strategies for leading through change,” The George Washington University School of Medicine and Social Sciences, April 28, 2025, https://healthsciencesprograms.gwu.edu/news/transform-your-career-trajectory-clinical-operations-health-care-management-strategies-leading.
28 “What Is a Health Consultant?”, Tulane University (blog), October 15, 2021, https://publichealth.tulane.edu/blog/healthcare-consultant/.
29 Tripp Mickle, “The A.I. Boom Has an Unlikely Early Winner: Wonky Consultants,” New York Times, June 26, 2024, https://www.nytimes.com/2024/06/26/technology/ai-consultants.html.
30 Roberto Torres, “AI led training demand in 2024, O’Reilly says,” CIO Dive, January 7, 2025, https://www.ciodive.com/news/ai-training-demand-oreilly/736744/.
31 “Measuring the return from pharmaceutical innovation,” Deloitte, March 2025, https://www.deloitte.com/us/en/Industries/life-sciences-health-care/articles/measuring-return-from-pharmaceutical-innovation.html.
32 “14 Emerging Wearable Health Technologies Transforming Remote Care,” Forbes, June 11, 2024, https://www.forbes.com/councils/forbestechcouncil/2024/06/11/14-emerging-wearable-health-technologies-transforming-remote-care/.
33 Cade Metz and Mike Isaac, “Meta Is Creating a New A.I. Lab to Pursue ‘Superintelligence’,” New York Times, June 10, 2025, https://www.nytimes.com/2025/06/10/technology/meta-new-ai-lab-superintelligence.html.
34 “Collaborative Robots - How Robots Work alongside Humans,” International Federation of Robotics, December 4, 2024, https://ifr.org/ifr-press-releases/news/how-robots-work-alongside-humans.
35 The U.S. Census Bureau defines baby boomers as those born between 1946 and 1964. See America Counts staff, “2020 Census Will Help Policymakers Prepare for the Incoming Wave of Aging Boomers,” America Counts: Stories, (U.S. Census Bureau, December 10, 2019), https://www.census.gov/library/stories/2019/12/by-2030-all-baby-boomers-will-be-age-65-or-older.html.
36 Shangjun Wang and Sojen Pradhan, “Exploring Factors Influencing Older Adults’ Willingness to
Use Robo-Advisors,”(Australasian Conference on Information Systems, Wellington, 2020), https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1031&context=acis2020.
37 Joe McKendrick, “Most companies will increase IT spending in 2025. But there's a twist in the tale,” ZDNET, November 26, 2024, https://www.zdnet.com/article/most-companies-will-increase-it-spending-in-2025-but-theres-a-twist-in-the-tale/.
38 Shivani Zoting, “Custom software development market size, share and trends 2025 to 2034,” Precedence Research, May 22, 2025, https://www.precedenceresearch.com/custom-software-development-market.
39 Jonathan Reed, “Cybersecurity dominates concerns among the C-suite, small businesses, and the nation,” IBM, November 15, 2024, https://www.ibm.com/think/insights/cybersecurity-dominates-concerns-c-suite-small-businesses-nation.
40 Steve Alder, “The biggest healthcare data breaches of 2024,” The HIPAA Journal, (March 19, 2025), https://www.hipaajournal.com/biggest-healthcare-data-breaches-2024/.
41 “Key benefits of AI in 2025: how AI transforms industries,” in Syracuse University School of Information Studies, Syracuse University, April 1, 2025, https://ischool.syracuse.edu/benefits-of-ai/.
42 Zachary Goriszewski, “The rising popularity of cloud services,” LRS Small Business Tech Services (blog), (February 18, 2025), https://www.lrssmallbusinesstechservices.com/Blog/Posts/11/Uncategorized/2025/2/The-Rising-Popularity-of-Cloud-Services/blog-post/.
43 “AI to drive 165% increase in data center power demand by 2030,” Artificial Intelligence, Goldman Sachs, February 4, 2025,
44 See dataset “Projected population by single year of age, sex, race, and Hispanic origin for the United States: 2022 to 2100, main series,” in “2023 National Population Projections Datasets,” (United States Census Bureau, last modified February 12, 2025), https://www.census.gov/data/datasets/2023/demo/popproj/2023-popproj.html.
45 See “Table 105.30. Enrollment in elementary, secondary, and degree-granting postsecondary institutions, by level and control of institution: selected years, 1869-70 through fall 2031,” in “Digest of Education Statistics,” (National Center for Education Statistics, U.S. Department of Education, 2022), https://nces.ed.gov/programs/digest/d22/tables/dt22_105.30.asp.
46 See dataset “Projected population by single year of age, sex, race, and Hispanic origin for the United States: 2022 to 2100, main series,” in “2023 National Population Projections Datasets,” (United States Census Bureau), https://www.census.gov/data/datasets/2023/demo/popproj/2023-popproj.html.
47 See “Table 105.30. Enrollment in elementary, secondary, and degree-granting postsecondary institutions, by level and control of institution: selected years, 1869-70 through fall 2031,” in “Digest of Education Statistics,” (National Center for Education Statistics, U.S. Department of Education, 2022), https://nces.ed.gov/programs/digest/d22/tables/dt22_105.30.asp.
48 “Undergraduate degree fields,” National Center for Education Statistics.
49 Tyler Spraul, “Why the Fitness Industry is Growing,” Exercise, July 14, 2023, https://www.exercise.com/grow/why-the-fitness-industry-is-growing/.
50 See “Table 39. Light-duty vehicle stock by technology type,” in “Annual Energy Outlook 2025,” (U.S. Energy Information Administration, April 15, 2025), https://www.eia.gov/outlooks/aeo/data/browser/#/?id=49-AEO2025®ion=0-0&cases=ref2025&start=2023&end=2035&f=A&linechart=ref2025-d032025a.12-49-AEO2025~ref2025-d032025a.11-49-AEO2025~ref2025-d032025a.10-49-AEO2025~ref2025-d032025a.4-49-AEO2025&ctype=linechart&sourcekey=0.
51 “E-commerce retail sales as a percent of total sales (ECOMPCTSA),” (Federal Reserve Bank of St. Louis, FRED, retrieved on September 26, 2025), https://fred.stlouisfed.org/series/ECOMPCTSA.
52 Kurt Staelens, Matt Garfield, John Yozzo, Ralph Fernando, Francesco Leone, and Raphael Miolane, 2024 online retail report (FTI Consulting, July 2024), 7–12, https://www.fticonsulting.com/-/media/files/insights/reports/2024/jul/2024-online-retail-report.pdf.
53 Daniel Dorfman, “Retail trade employment: before, during, and after the pandemic,” Beyond the Numbers, vol. 11, no. 4 (April 2022), https://www.bls.gov/opub/btn/volume-11/retail-trade-employment-before-during-and-after-the-pandemic.htm.
54 Catherine Douglas Moran, “How grocery continues to drive Walmart’s top line,” Retail Dive, May 1, 2025, https://www.retaildive.com/news/walmart-grocery-sales-growth-united-states/746712/.
55 Mark Fairhurst, “2024 eGrocery market share analysis: how to retain customers through better engagement,” Mercatus, February 13, 2025, https://www.mercatus.com/blog/2024-egrocery-market-share-analysis-how-to-retain-customers-through-better-engagement/.
56 Sandra Carpenter, “Self-checkout soars: speed, convenience drive customer demand,” Kiosk Marketplace, January 17, 2025, https://www.kioskmarketplace.com/articles/self-checkout-soars-speed-convenience-drive-customer-demand/.
57 “These 7 emerging technologies are allowing for fully automated warehouses,” Robotics Tomorrow, September 11, 2024, https://www.roboticstomorrow.com/story/2024/09/these-7-emerging-technologies-are-allowing-for-fully-automated-warehouses/23080/.
58 For a more detailed discussion of the U.S. Bureau of Labor Statistics (BLS) Employment Projections methodology, see the "Overview" section of “Employment Projections,” Handbook of Methods, (U.S. Bureau of Labor Statistics, last modified September 10, 2025), https://www.bls.gov/opub/hom/emp/.
59 See Michael Handel, "Growth trends for selected occupations considered at risk from automation."