Roughly one in five Dallas–Fort Worth jobs now sits in the sights of artificial intelligence, according to a new analysis that maps OpenAI and University of Pennsylvania exposure scores onto local employment estimates. The impact, though, is anything but evenly spread. Customer-service roles face some of the highest per-worker exposure, while the metro's single-largest occupation — fast-food and counter workers — ranks near the bottom of the exposure scale despite its massive headcount. The upshot: many North Texans are likely to see AI reshape how they work, but not through a simple one-for-one wipeout of jobs. Business leaders, training providers and city officials are already grappling with how to guide the workforce through what looks like a gradual and uneven transition.
Top DFW jobs exposed to AI
An interactive project from The Dallas Morning News details exposure scores by occupation alongside local job counts. Customer-service representatives top the list with a 0.70 exposure score and about 96,930 jobs. Software developers sit at 0.45 (roughly 67,030 jobs). Registered nurses and general and operations managers each come in around 0.38 (with about 76,680 and 125,090 jobs, respectively). Meanwhile, fast-food and counter workers, the region's largest single tracked occupation at about 128,380 workers, post a relatively low 0.07 exposure score.
How the exposure score works
The exposure metric starts at the task level. Researchers label each work activity as 1 (AI on its own can cut the time required by half), 0.5 (AI plus other software helps speed it up) or 0 (no meaningful improvement), then roll those ratings into a single occupation-level score. The approach was developed by researchers at OpenAI and the University of Pennsylvania and is laid out in detail in their working paper (OpenAI/UPenn paper). To connect those exposure scores to Dallas–Fort Worth jobs, the analysis relies on Occupational Employment and Wage Statistics estimates from the Bureau of Labor Statistics for the metro area (BLS OES).
What local leaders say
Local workforce experts say the numbers should be read as an early warning system, not a countdown clock for layoffs. "I can't say I've seen any evidence of major, significant shifts as far as employment goes," Anna Crockett told The Dallas Morning News. Other employers interviewed for the project echoed that view, predicting a longer, uneven transition where certain tasks get automated while new oversight, coordination and hybrid roles emerge around the technology.
What this means for DFW workers
Analysts say how the AI story plays out for Dallas–Fort Worth will hinge on how quickly local firms adopt new tools and whether they lean on them to replace labor or to boost what workers can do. Labor-market snapshots from the University of Texas at Dallas show software, health-care and customer-service roles dominating local job postings, a mix that helps explain why those occupations feature prominently on the exposure list (UT Dallas). Recent coverage has also chronicled the region's tech hiring boom and the resulting strain on training pipelines as employers and schools race to catch up (AI gold rush).
For both workers and employers, the practical takeaway is to double down on skills that pair well with AI rather than compete with it: complex judgment, interpersonal problem solving and technical orchestration. Short-term training programs will also matter more as exposed tasks turn into opportunities for new specialties. For readers who want the methodological fine print, the OpenAI and University of Pennsylvania working paper walks through the task-level rubric and technical details behind the exposure scores (OpenAI/UPenn paper).
