See what AI is actually doing to your occupation and your community.
Whether you are hearing about AI for the first time or already wondering about your own job, this guide takes you from the basics to the data for your occupation and community.
How AI is changing everything
An AI Primer
Come up to speed quickly on AI, how it's shaping the future of work, and what's going to happen next?
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1What is AI? What isn't AI?5 minThe term "AI" is overused and can mean a lot of things. Here's how we define it.
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2How AI changes work5 minWhy tasks change before jobs do, and the difference between automation and assistance.
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3What's the future of work going to look like in the next 5 to 10 years?2 minThe measured trends, and what they do — and do not — support saying about the years ahead.
Questions people ask first
Short, direct answers, each with a link to the evidence behind it.
Is AI taking jobs right now?
So far the clearest AI signal is in how work is done, not in national job counts. Through August 2026, employers announced 116,175 job cuts naming AI as a reason — about 22% of the 529,914 cuts announced all year. That is real, but it is a slice of announced cuts, not economy-wide job loss, and a formal impact estimate is still being built. We publish what is measured, not a scare number.
See the evidenceIs my job at risk?
Exposure is not loss. As of the June 2026 release, 34.6% of measured US employment is in the most AI-exposed quarter of occupations — that means AI already does part of the kind of work those jobs contain, not that those jobs are disappearing. To read your own result, look up your occupation and start with the observed-use number, not the theoretical ceiling.
Look up your occupationHow fast will this happen?
Adoption is rising but uneven: 23.8% of US businesses reported using AI in their business functions in the survey wave of September 6, 2026, up from 17.3% in November 2025 under the current survey wording. Different industries and places are moving at very different speeds, so no single timetable exists. The Scenario Lab (coming soon) will let you test what faster or slower adoption would mean — as what-if exercises, never forecasts.
See adoption dataWhat can I do about it?
Three practical moves: read the worker’s guide below, watch the early warning signals that tend to move first (layoffs citing AI, entry-level hiring in exposed industries), and base decisions on your own occupation and community data rather than national headlines. Skills, training and support options are gathered with sources at the end of the guide.
Open the worker’s guide