Will AI Replace
Your Job?
Public-data reference. for PlainWorkforce.
AI risk scores for 832 occupations, 291 industries, 1,965 employers—blending BLS growth, O*NET skills, SEC data.
Explore AI exposure scores, employment projections, and career outlook for 832 occupations — powered by official BLS and O*NET data.
Projected Workforce Demand by Industry
BLS Employment Projections 2024-2034 show healthcare and technology leading job growth while retail and manufacturing face contraction.
PlainWorkforce combines official BLS Employment Projections for 2024-2034 with O*NET task analysis to measure how exposed every US occupation is to AI automation. Each occupation receives an AI exposure score from 0-100% based on the proportion of its tasks that current or near-future AI systems can perform.
Whether you are a student choosing a career path, a worker considering a transition, or a policy researcher studying labor market disruption, PlainWorkforce gives you the data to make evidence-based decisions. We cover 832 occupations across 291 industries, with detailed profiles showing growth projections, median wages, education requirements, and task-level AI vulnerability.
Not sure where to start? Our guides break down the key questions: how many jobs are at risk from AI, which remote jobs are most vulnerable, how apprenticeships compare to college degrees on cost, earnings, and AI resilience, and which careers are most future-proof through 2034.
All projections come from the Bureau of Labor Statistics. AI exposure scores are derived from O*NET task importance data. This is informational analysis based on federal data sources — not career advice.
Most At-Risk from AI
Occupations with highest AI exposure scores
Fastest Growing Careers
BLS 2024–2034 projected growth leaders
Registered Apprenticeships
Earn while you learn — DOL FY2024 data for 844,900 active apprentices
How We Measure AI Risk
O*NET Task Analysis
We analyze every task within each occupation from the O*NET database, evaluating whether it can be automated by current or near-future AI systems.
BLS Projections
Official 10-year employment projections from the Bureau of Labor Statistics show which occupations are growing or contracting through 2034.
AI Exposure Score
Each occupation gets a 0–100% AI exposure score based on the proportion of its tasks that are susceptible to automation, weighted by importance.
Frequently Asked Questions
Which jobs are most at risk from AI automation?
According to BLS projections and O*NET task analysis, clerical and routine data-processing roles face the highest AI exposure. Bookkeeping clerks, data entry workers, and telemarketers consistently rank highest in automation risk studies.
How is AI exposure score calculated?
AI exposure scores are derived from O*NET task importance data combined with BLS employment projections. Each task is evaluated for its susceptibility to AI automation based on whether it involves routine data processing, pattern recognition, or physical dexterity.
What time period do these employment projections cover?
PlainWorkforce uses BLS Employment Projections covering the 2024–2034 decade, released by the Bureau of Labor Statistics. These are official 10-year projections covering 832 occupations and 291 industries.
Guides & Analysis
Editorial research and plain-language explainers from our team. Every guide is written to help you read the underlying public data correctly.
Research
Original analysis from our editorial team, every statistic derived from our own database. See all research.
State-Level Apprenticeship Programs for High-Growth Trades in 2023
Analyze apprenticeship data across 51 states, highlighting California's 89000 active apprentices and Texas's 18500 new enrollments, focusing on top occupations like electricians and plumbers with completion rates up to 58.2%.
ResearchKey Industry Employment Shifts from 2024 to 2034 Projections
Examine trends for 291 industries, such as crop production gaining 17300 jobs at 2.0% growth and animal production losing 14800 jobs at 3.3% decline, using BLS data linked to AI risk scores.