See how AI and automation could touch the work in your metro.
Every US metro, measured two ways and never blended into one score. Built for organizers, labor, faith and youth leaders getting ready for one-on-one conversations, and for the funders and policymakers who back them.
Type a city or state, for example Fresno or MI.
- No metro matches “”. Try the largest city in the area, or a two-letter state code.
- Cognitive exposure
- What generative AI could touch. Work like writing, sorting information, answering questions and handling records.
- Physical exposure
- What robots and self-driving machines could touch. Work like driving, moving goods, running machines and repetitive handling.
Both are scored 0 to 100. The US average is 50 on each, so a metro at 60 has more of that kind of exposed work than the typical American job mix.
Full profiles
These metros also have local signals, such as data center proposals and employer moves, and a printable brief for organizers.
Every metro, side by side
393 metros. Each dot is one metro. Further right means more work generative AI could touch; higher up means more work robots and autonomy could touch. Hover or tap a dot for details, or click it to open the profile.
Metros that are more exposed on one measure tend to be less exposed on the other (correlation -0.79 across metros), because the measures mostly reflect a metro's mix of white-collar and blue-collar jobs. Read a metro's distance from the dashed trend line as what makes it unusual.
Ranking
Sort by either measure. The share columns count workers in jobs that score 75 or higher, the most exposed quarter of US jobs. Nationally that is about 25% of workers for cognitive and 25% for physical.
| Boulder, CO | 58 1st | 47 368th | 35% | 18% | 192,390 |
|---|---|---|---|---|---|
| Trenton, NJ | 58 2nd | 45 383rd | 35% | 18% | 240,190 |
| Lexington Park, MD | 58 3rd | 48 343rd | 32% | 16% | 70,650 |
| San Jose, CA | 57 4th | 45 384th | 37% | 17% | 1,134,970 |
| Washington, DC | 57 5th | 45 386th | 34% | 18% | 3,136,190 |
| Durham, NC | 57 6th | 48 346th | 36% | 20% | 344,020 |
| Tallahassee, FL | 57 7th | 45 381st | 34% | 17% | 186,160 |
| Olympia, WA | 56 8th | 46 380th | 33% | 18% | 130,300 |
| Ann Arbor, MI | 56 9th | 44 391st | 27% | 16% | 219,730 |
| Austin, TX | 56 10th | 48 351st | 33% | 20% | 1,293,690 |
| Boston, MA | 55 11th | 46 378th | 30% | 19% | 2,703,890 |
| Ithaca, NY | 55 12th | 43 393rd | 28% | 18% | 47,980 |
| Helena, MT | 55 13th | 47 371st | 30% | 19% | 44,420 |
| San Francisco, CA | 55 14th | 46 377th | 32% | 20% | 2,373,920 |
| Denver, CO | 54 15th | 48 354th | 31% | 22% | 1,609,350 |
| Seattle, WA | 54 16th | 48 344th | 33% | 22% | 2,086,210 |
| Springfield, IL | 54 17th | 45 385th | 28% | 19% | 100,810 |
| Albany, NY | 54 19th | 48 356th | 28% | 22% | 449,410 |
| Raleigh, NC | 54 18th | 49 321st | 32% | 23% | 743,120 |
| Baltimore, MD | 53 20th | 47 370th | 28% | 20% | 1,356,680 |
| Salt Lake City, UT | 53 21st | 50 255th | 31% | 24% | 826,210 |
| Bloomington, IL | 53 22nd | 47 361st | 29% | 20% | 88,110 |
| Bridgeport, CT | 53 23rd | 46 375th | 28% | 19% | 404,180 |
| Charlottesville, VA | 53 25th | 46 373rd | 27% | 19% | 114,780 |
| New York, NY | 53 24th | 45 387th | 28% | 20% | 9,492,000 |