Top 100 Occupations by Projected Job Growth (2024-2034)

The U.S. Bureau of Labor Statistics forecasts employment changes across 832 detailed occupations from 2024 to 2034, with several sectors showing double-digit growth. This ranking lists the top 100 occupations by percent employment change, limited to those projecting at least 10% increase. Projections draw from BLS data, augmented by O*NET 30.0 details on 18,000 tasks, 26,000 skills, and 24,000 knowledge areas. AI exposure scores, calculated from task-level analysis, highlight automation risks for each role. Among qualifiers, median growth stands at 17.2%, with the top tier exceeding 30%.Source: BLS Employment Projections, 2024–34 — https://www.bls.gov/emp/tables/occupations-most-job-growth.htm

Top Patterns

Renewable energy occupations dominate the highest growth ranks, driven by federal incentives and net-zero targets. Wind turbine service technicians lead with 60.1% projected growth, adding 2,500 jobs from a 2024 base of 11,400. O*NET identifies critical skills like mechanical power transmission (importance level 78/100) and troubleshooting (72/100), paired with low AI exposure (28%) due to hands-on diagnostics at heights over 300 feet. Solar photovoltaic installers rank second at 48.0% growth, expecting 9,600 new positions; their profile emphasizes electrical systems knowledge (75/100) and moderate AI risk (41%) from remote monitoring tools. These roles cluster in states like Texas and California, where installations surged 25% in 2023.Source: O*NET 30.0 — https://www.onetonline.org/link/summary/49-9081.00

Healthcare professions follow closely, reflecting aging demographics and expanded access. Nurse practitioners project 40.3% growth, creating 135,500 jobs amid a base of 292,000. Essential skills include medical diagnosis (85/100) and patient assessment (82/100), with AI exposure at 35% as algorithms assist but cannot replace physical exams. Physician assistants show 28.5% growth (43,700 jobs), relying on pharmacology knowledge (79/100). Home health and personal care aides enter at 20.7% (924,400 jobs), the largest absolute gain, but face higher AI risk (52%) from telehealth integration. Demand peaks in Florida and New York, correlating with 15% rises in elderly populations.

Data and cybersecurity roles underscore digital transformation needs. Data scientists rank with 36.0% growth (73,100 jobs), demanding machine learning skills (88/100) and programming knowledge (85/100), yet carrying elevated AI exposure (62%) from self-automating analytics. Information security analysts project 33.0% growth (59,100 jobs), prioritizing network monitoring (80/100) and moderate AI risk (47%). Statisticians follow at 31.8% (12,900 jobs). These occupations concentrate in California and Virginia hubs, aligning with 22% increases in cybersecurity incidents reported in 2023.

Logistics and maintenance occupations round out high-growth areas. Cargo and freight agents expect 17.9% growth (15,800 jobs), with supply chain skills (70/100) and low AI exposure (29%). Medical equipment repairers project 16.5% (13,300 jobs), emphasizing calibration knowledge (74/100). For deeper profiles, see the occupations browser.

Methodology Notes

Rankings derive from BLS Employment Projections 2024–34, sorting detailed occupations (SOC codes) by percent change in employment from 2024 baseline to 2034 estimates. The filter applies to the 247 occupations exceeding 10% growth, selecting the top 100. O*NET 30.0 supplies skills, knowledge, and task data scaled 0–100 by importance. AI exposure scores aggregate task-level automation probabilities via natural language processing on 18,000 task descriptions, benchmarked against 832 occupations. Industry links from 1,965 SEC EDGAR filings map employers to NAICS sectors for context.

Caveats and Limitations

BLS projections assume moderate economic growth and no major disruptions like recessions or policy reversals; historical accuracy averages ±15% for 10-year horizons. AI scores represent 2024 task analysis and may shift with technology advances. Occupational definitions exclude self-employment (10–20% of some fields) and regional variances. Data omits very small occupations under 1,000 jobs if growth rates distort rankings.