Interactive tool

Workforce Demand Estimator

Estimate projected job growth, AI exposure, and median wages for US occupations by industry — grounded in BLS Employment Projections 2024–2034 and O*NET Database 30.0.

Sector demand at a glance

Projected employment change by major US sector, 2024–2034 (BLS) — before you run a custom estimate below. Healthcare, professional services and tech lead; retail and mining contract.

  • Healthcare
    +8.1%
  • Professional Services
    +7.8%
  • Information & Tech
    +7.2%
  • Arts & Recreation
    +5.7%
  • Construction
    +4.7%
  • Finance & Insurance
    +3.6%
  • Hospitality
    +2.9%
  • Utilities
    +2.4%
  • Transportation
    +2.4%
  • Agriculture
    +0.1%
  • Education
    +0.1%
  • Manufacturing
    +0%
  • Retail
    -1.2%
  • Mining & Extraction
    -1.6%

Source: BLS Employment Projections 2024–2034 (industry employment), aggregated to NAICS sectors by PlainWorkforce.

Configure your estimate

Demand Estimate Results

+3.1%
Projected Growth
40%
AI Exposure
$48,520
Median Annual Wage

Showing the national average (all industries). Adjust the options above and re-estimate.

Projected growth is taken from real BLS Employment Projections 2024-2034 (industry employment, aggregated to sector). AI-exposure and median wage shown here are typical sector references — see our individual occupation profiles for verified per-role figures. Actual outcomes depend on economic conditions, policy changes, and technology adoption rates. This is an informational tool, not career advice.

How the Workforce Demand Estimator Works

This tool helps workers, students, and career counselors estimate future demand for occupations across US industries. It draws from two authoritative federal sources:

  • BLS Employment Projections 2024-2034: Official 10-year employment projections covering 832 occupations across 291 industries, including projected employment levels, growth rates, job openings, and median wages.
  • O*NET Database 30.0: The Department of Labor's occupational task database, used to compute AI exposure scores that estimate the proportion of each occupation's tasks susceptible to automation.

The AI impact assumption adjusts projections based on different adoption scenarios. The moderate setting follows the current BLS baseline. Aggressive assumes faster-than-expected AI deployment in routine-heavy industries. Conservative assumes regulatory and organizational friction slows adoption below the baseline.

Region filters adjust national projections using BLS industry-occupation staffing patterns and regional industry concentration data from the Quarterly Census of Employment and Wages (QCEW).

Interpreting Your Results

A positive demand estimate means the occupation is projected to add jobs over the selected horizon. A negative estimate signals contraction. The AI exposure component shows how much automation pressure the occupation faces regardless of growth direction — some fast-growing roles also have high AI exposure, meaning the nature of the work will change significantly even as headcount grows.

For the most complete picture, use this estimator alongside our individual occupation profiles, which provide task-level AI vulnerability breakdowns, skill requirements, and employer-specific data.

Frequently Asked Questions

How accurate is the workforce demand estimator?

The estimator uses official BLS Employment Projections 2024-2034 and O*NET task analysis. Projections are updated biennially by the Bureau of Labor Statistics and reflect macroeconomic trends, demographic shifts, and technology adoption patterns.

What does AI exposure score mean?

The AI exposure score (0-100%) represents the proportion of an occupation's tasks that are susceptible to automation by current or near-term AI systems, based on O*NET task importance data.

Can I compare multiple occupations?

Yes. Select different occupations from the dropdown to compare projected growth rates, AI exposure, and median wages side by side.