Industry and occupational employment projections overview and highlights, 2024-34
A · Strong evidence Official US Bureau of Labor Statistics ten-year projections with a published method, covering 832 occupations, and an explicit section on where AI is expected to cut or raise labour demand.
Summary based on the full text·Original: about 40 minutes to read
In short
The January 2026 Monthly Labor Review overview of BLS employment projections for 2024-34, by Michael J. Rieley and Javier Colato. Total US employment is projected to grow 3.1%, much slower than the previous decade, mainly because of an ageing population. Healthcare and social assistance add the most jobs. A dedicated section names occupations where AI, including generative AI, is expected to dampen labour demand and others where it raises it.
Key numbers
- 3.1 percentprojected US total employment growth 2024-34, from 170.0 million to 175.2 million jobs
- 13.0-percentemployment growth in the previous decade, 2014-24, for comparison
- 33.5-percentprojected growth for data scientists, the fourth-fastest growing occupation
- 5.1 percentprojected decline for claims adjusters, examiners and investigators, partly from AI damage assessment
- 4.9 percentprojected decline for medical transcriptionists as AI speech recognition spreads
As reported by the source.
English·Web page·opens bls.gov
What it reports
- Employment grows from 170.0 million in 2024 to 175.2 million in 2034, 5.2 million more jobs. Healthcare and social assistance grow 8.4% and add roughly 2.0 million jobs. Retail trade loses the most, 181,900 jobs, mostly from e-commerce.
- AI and generative AI are expected to dampen demand in sales, design and administrative support. Named examples: graphic designers, interpreters and translators, technical writers, special effects artists, medical records specialists, sales engineers, insurance sales agents, customer service representatives, billing and procurement clerks, and paralegals.
- Medical transcriptionists are projected to fall 4.9% and claims adjusters 5.1%, with AI cited as a cause. Paralegals show little or no change.
- Demand for AI systems lifts computer and mathematical occupations: 5 of the 15 fastest growing occupations are in that group, and data scientists grow 33.5%.
- The four fastest growing industries are tied to renewable energy generation.
How they got it
The BLS Employment Projections model links labour force and macroeconomic projections to an industry-occupation matrix for 832 detailed occupations. AI effects are added as case-by-case judgements where "a reasonable expectation of an AI-driven impact currently exists". The model assumes a full-employment economy in 2034.
Limits
- The full-employment assumption means the projections cannot show AI-driven unemployment, only shifts in which occupations grow.
- AI adjustments are qualitative case studies, not a measured exposure model, and BLS says they can change as AI capabilities evolve.
- US only. Interim years 2025-33 are not projected.
Why it matters for companies
This is the official baseline many US workforce plans start from, and it is more cautious than vendor forecasts: AI shows up as slower growth or small declines in specific clerical, sales, translation and claims roles, not as mass job loss. Companies planning shared-service or customer-service headcount can use the named occupations as a checklist, and should note that the projected growth sits in care work and technical roles that are already hard to hire for.
Summary based on the full text. Read the original for the full argument and data.Read the original on bls.gov
- Tags
- Occupations