University of North Texas 
Which North Texas jobs are most exposed to AI?
AI is expected to change how some work gets done. This page shows which North Texas jobs have the most overlap with what AI can do today. It also raises deeper questions about how we educate, train, and reskill North Texas talent.
What AI exposure means
AI exposure describes how much of the work in a job overlaps with what AI can do today. It points to where change may come. How jobs change will depend on how technology, employers, and workers adapt, and that is still unfolding.
AI exposure describes how much of the work in a job overlaps with what AI can do today. It points to where change may come. How jobs change will depend on how technology, employers, and workers adapt, and that is still unfolding.
About one in three North Texas jobs has very high AI exposure, slightly above the
national share
Very high exposure means much of the work in a job overlaps with what AI can do today. Many other jobs overlap very little, so exposure varies widely across the region's jobs.
Jobs that typically require a bachelor's degree or more are far more exposed to AI
than others
Nearly all bachelor's-level jobs in North Texas have high or very high exposure. That
share falls to about three in ten at the associate's level and one in five at high
school or below.
Legal, business, and computer jobs rank high on AI exposure, while construction and
transportation jobs rank low
Exposure differs sharply by type of work. Management and community and social service
jobs also rank high, while building maintenance and farming rank low. Jobs in the
same industry can also differ.
Financial services, technology and professional services, and advanced manufacturing
show the highest AI exposure among in-demand jobs
In-demand jobs in healthcare and construction show lower exposure. Transportation
and logistics is more evenly split. This covers the most in-demand occupations in
each of six industries, not every job in them.
Growing and shrinking occupations appear across all exposure levels, so exposure alone
may not indicate future change
From 2022 to 2025, some highly exposed occupations added jobs and others lost them, as did less exposed ones. This tool does not measure any causal effect of AI on job growth or loss.
If jobs that require degrees have the most overlap with AI, what should that mean for how North Texas colleges and universities prepare students? How should employers and training providers help current workers build skills to work alongside AI? These are the deeper questions about how we educate, train, and reskill North Texas talent.
How to use this view
Start on the AI Exposure Overview to compare exposure across all jobs, occupation groups, and industries. Use the Occupation Details page to look at individual occupations and the education and programs connected to them. Use what you find to explore deeper questions about how we educate, train, and reskill North Texas talent.
Start on the AI Exposure Overview to compare exposure across all jobs, occupation groups, and industries. Use the Occupation Details page to look at individual occupations and the education and programs connected to them. Use what you find to explore deeper questions about how we educate, train, and reskill North Texas talent.
About the measure: Exposure scores use the AIOE method (Felten, Raj, and Seamans, 2021) and O*NET version 31, combined with Lightcast job data. The scores describe the abilities jobs use rather than specific tasks.