Key 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.

Research period:

Research Question

What are the year-over-year employment changes for the 291 industries from 2024 to 2034, focusing on those with over 2.0% growth and their ties to AI exposure in related occupations?

Methodology

All 291 tracked industries are ranked by projected net employment change from 2024 to 2034, filtered for trends exceeding 2.0% growth, and cross-referenced with employer-level data to incorporate AI risk scores by sector.

Findings

17,300 Jobs Gained in Crop Production

Crop production added 17,300 jobs from 863,900 positions in 2024 to a projected 881,200 by 2034.BLS, Industry Projections 2024-2034 This growth reflects sustained demand for agricultural output alongside mechanization investments. Crop Production Trends provides full details for the crop-production sector.

Nearby agricultural sectors show a similar pattern of steady expansion: animal food manufacturing is projected to add 5,200 jobs (+6.9%) and animal slaughtering and processing adds 35,400 jobs (+6.4%) over the same decade, pointing to demand growth across the farm-to-processing supply chain.BLS, Industry Projections 2024-2034

Declines in Animal Production

Animal production shed 14,800 jobs, falling from 442,400 in 2024 to 427,600 by 2034.BLS, Industry Projections 2024-2034 Animal Production Data outlines the contraction driven by automation and consolidation in meat processing and dairy operations.

Despite the upstream decline, animal slaughtering and processing - the downstream link in the same supply chain - is projected to grow by 35,400 jobs (+6.4%) over the same period, suggesting consolidation in raw production paired with expanding processing capacity.BLS, Industry Projections 2024-2034

41.4% AI Risk in the Semiconductor Sector

NVIDIA carries a 41.4% AI risk score (grade B) in the semiconductor sector, which itself is projected to add 44,500 jobs (+11.4%) by 2034, growing from 392,300 to 436,800.SEC EDGAR company data; BLS, Industry Projections 2024-2034 Bookkeeping, accounting, and auditing clerks face the highest AI exposure of any tracked occupation at 0.95, while civil engineering technologists and technicians sit near the low end at 0.39. Browse all 291 tracked industries for the full ranking.

Alphabet carries a higher AI risk score at 46.8% (grade C) in computer programming services, an industry projected to grow from 2,444,800 to 2,831,600 jobs (+386,800, +15.8%) by 2034 - among the fastest-growing sectors tracked. Computer and information systems managers, the field's core overseeing occupation, earn a median wage of $171,200.O*NET, Knowledge and Skills Data

Energy Transition: Sharpest Gainers and Decliners

The steepest declines and gains among all 291 tracked industries both cluster in energy. Coal mining is projected to shed 19,300 jobs (-45.3%) by 2034, falling from 42,500 to 23,200 positions - the sharpest contraction of any tracked sector.BLS, Industry Projections 2024-2034

At the other extreme, solar electric power generation is projected to nearly triple, adding 30,400 jobs (+180.2%) to reach 47,200 by 2034, while wind electric power generation grows 81.4% (+9,200 jobs) to 20,400. Home healthcare services adds the largest absolute number of any tracked industry - 325,800 jobs (+18.6%) - reflecting the aging-population tailwind behind the sector's growth.BLS, Industry Projections 2024-2034

Summary: Crop production gains and tech-sector growth contrast with animal production losses upstream (offset by processing-sector gains downstream). AI risk scores range from 0.05 (helpers-electricians) to 0.95 (bookkeeping, accounting, and auditing clerks) across the 832 occupations in our database. Energy-sector industries post both the steepest declines (coal mining, -45.3%) and the steepest gains (solar, +180.2%) of any tracked sector. Occupation Details links wage and AI-exposure data to these growth trajectories.

What this analysis cannot tell us

These projections assume steady economic conditions and cannot predict disruptions like pandemics or policy reforms; the data aggregates nationally without state-level breakdowns, potentially overlooking regional booms; AI risk scores derive from employer data and may not apply uniformly across all industry subsectors; employment figures round to thousands, masking smaller fluctuations; missing details on part-time versus full-time roles limit workforce quality insights.

Sources