U.S. metropolitan AI User Share, Q1 2026
Microsoft AI Economy Institute modeled AI User Share estimates for the 35 supplied U.S. metropolitan statistical areas, Q1 2026. These are the supplied large metros, not a complete metropolitan-area census; source identifiers are retained.
AI User Share is a modeled estimate for Q1 2026, not direct raw local telemetry. The U.S. method uses Bayesian spatial small-area estimation. State and metro aggregates use working-age population weights. No uncertainty intervals or population weights are supplied in these CSVs.
Download the original MSA_Ranking_2026Q1.csv (CSV) · Download the metros dataset (JSON)
| MSA Title | MSA Code | AI User Share (%) |
|---|---|---|
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 47900 | 39.7% |
| Dallas-Fort Worth-Arlington, TX | 19100 | 39.4% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 33100 | 38.6% |
| Houston-Pasadena-The Woodlands, TX | 26420 | 38.4% |
| Atlanta-Sandy Springs-Roswell, GA | 12060 | 38.0% |
| San Francisco-Oakland-Fremont, CA | 41860 | 38.0% |
| Austin-Round Rock-San Marcos, TX | 12420 | 37.8% |
| Seattle-Tacoma-Bellevue, WA | 42660 | 36.8% |
| Chicago-Naperville-Elgin, IL-IN | 16980 | 36.6% |
| Las Vegas-Henderson-North Las Vegas, NV | 29820 | 36.5% |
| San Diego-Chula Vista-Carlsbad, CA | 41740 | 36.3% |
| Orlando-Kissimmee-Sanford, FL | 36740 | 36.2% |
| San Antonio-New Braunfels, TX | 41700 | 35.4% |
| New York-Newark-Jersey City, NY-NJ | 35620 | 35.2% |
| Boston-Cambridge-Newton, MA-NH | 14460 | 35.1% |
| Riverside-San Bernardino-Ontario, CA | 40140 | 35.1% |
| Nashville-Davidson--Murfreesboro--Franklin, TN | 34980 | 34.7% |
| Los Angeles-Long Beach-Anaheim, CA | 31080 | 34.7% |
| Tampa-St. Petersburg-Clearwater, FL | 45300 | 33.8% |
| Baltimore-Columbia-Towson, MD | 12580 | 33.7% |
| Charlotte-Concord-Gastonia, NC-SC | 16740 | 33.6% |
| Phoenix-Mesa-Chandler, AZ | 38060 | 33.4% |
| Cincinnati, OH-KY-IN | 17140 | 32.9% |
| Denver-Aurora-Centennial, CO | 19740 | 32.8% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 37980 | 32.6% |
| Kansas City, MO-KS | 28140 | 32.4% |
| Portland-Vancouver-Hillsboro, OR-WA | 38900 | 31.1% |
| Sacramento-Roseville-Folsom, CA | 40900 | 29.6% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 33460 | 29.2% |
| Cleveland, OH | 17410 | 29.1% |
| Detroit-Warren-Dearborn, MI | 19820 | 29.1% |
| Indianapolis-Carmel-Greenwood, IN | 26900 | 28.8% |
| Columbus, OH | 18140 | 28.7% |
| St. Louis, MO-IL | 41180 | 26.8% |
| Pittsburgh, PA | 38300 | 25.8% |