Introducing AI Exposure: Which Jobs Will Survive the AI Revolution?

Everyone's talking about AI taking jobs. Almost nobody has the data. The breathless headlines cite a single Oxford study from 2013. The "will a robot take my job" sites give you a percentage and a shrug. We thought we could do better. AI Exposure is the most comprehensive data platform ever built on AI's impact on American workers — and everything on it is free.

Why Existing Tools Fall Short

You've probably seen the sites. WillRobotsTakeMyJob gives you one number from one study. JobGoneToAI.com and AITakeoverTracker.com track headlines, not data. None of them answer the questions that actually matter: Which specific tasks in my job are automatable? How exposed is my city? What should I transition to?

AI Exposure is different because it synthesizes five independent risk sources into a single composite score: the Frey & Osborne automation probabilities, OECD risk assessments, Bureau of Labor Statistics employment projections, real layoff signals from layoffs.fyi, and generative AI task exposure analysis. One number backed by five perspectives — not a guess, a consensus.

What You'll Find

The Task-Level Detail That Changes Everything

Here's what no other platform does: we break every occupation into its individual tasks using O*NET data, then assess each task's automation potential. A cashier doesn't just get a "high risk" label — you see that 78% of their daily tasks (scanning items, processing payments, bagging groceries) are highly automatable, while the remaining 22% (handling customer complaints, checking IDs) still need a human. Every occupation page includes a donut chart showing this breakdown visually.

This matters because "AI will take your job" is almost always wrong. AI will take some of your tasks. Knowing which ones is the difference between panic and a plan.

What the Data Shows

45.8 million Americans currently work in occupations our composite model flags as high-risk. The most exposed: cashiers, truck drivers, retail salespersons, fast food workers, and office clerks. These aren't predictions from a think tank — they're based on actual BLS employment counts combined with multiple independent risk assessments.

We also track 511 confirmed AI-related layoffs from layoffs.fyi, mapped to specific occupations and industries. The layoffs aren't hypothetical anymore. They're happening at tech companies, media organizations, financial firms, and customer service centers right now.

Geographic exposure varies dramatically. A metro area dominated by logistics and retail looks very different from one anchored by healthcare and education. The interactive map lets you see this at the county level — all 3,220 of them.

35 Deep Analysis Articles

The data is only useful if you can understand it. We wrote 35 analysis articles covering everything from which industries face the steepest disruption to how geographic concentration creates AI vulnerability hotspots. Every article is data-driven, fully sourced, and designed to inform rather than terrify.

Data-Driven, Not Fear-Mongering

We built AI Exposure because the conversation about AI and jobs is dominated by hype on one side and denial on the other. The truth is in the data — and the data says some jobs are genuinely at risk while others are safer than people think. Our goal isn't to scare anyone. It's to give every worker, policymaker, and educator the information they need to make smart decisions about what's coming.

Government data. Academic research. Real layoff tracking. No paywalls. No guesswork.

AI Exposure joins TheDataProject's portfolio alongside SPACGraveyard, OpenMedicare, OpenCrime, WarCosts, GiveScope, and our other public data platforms. Our mission remains the same: make public data accessible, useful, and impossible to ignore.