Which US cities are emerging as AI hubs beyond the Bay Area?
One question, asked of ChatGPT, Claude, Gemini and Perplexity in September 2026. Here is each answer, word for word, with the sources it cited.
US hubs · Best city for a sector · A founder deciding where to move
ChatGPT
Beyond the Bay Area, the U.S. AI map is becoming more distributed. The strongest emerging hubs are not all trying to become “the next Silicon Valley”; many are specializing around universities, industries, government, or existing corporate strengths. Brookings’ recent AI economy mapping highlights a broader set of metro areas gaining ground through combinations of talent, research, startups, and enterprise adoption.
Brookings
6
1. Austin, Texas — the largest “Silicon Valley alternative”
Austin, Texas has become one of the most visible AI expansion markets.
Why it is growing:
Strong engineering talent from University of Texas at Austin
Major tech presence from companies such as Tesla, Oracle Corporation, and Google
Lower costs than the Bay Area (though housing has risen sharply)
Strength in enterprise AI, robotics, chips, and developer tools
Austin is frequently grouped among the leading U.S. AI “star hubs” because it combines research capacity, corporate adoption, and startup activity.
Brookings
2. Boston–Cambridge, Massachusetts — the research powerhouse
Boston, Massachusetts and nearby Cambridge remain one of the strongest AI ecosystems outside California.
Specialties:
Foundation models
Robotics
Biotech AI
AI safety and research
Key advantages:
Massachusetts Institute of Technology
Harvard University
Deep venture capital network
Strong life sciences sector
Boston’s advantage is less about massive consumer AI companies and more about frontier research…
Trimmed here; the full answer is in the viewer.
Named: Austin, Boston, Seattle, New York City, Pittsburgh, Washington, D.C., Atlanta, Raleigh-Durham, Denver, Detroit, San Francisco Bay Area, Georgia Tech
Sources cited: brookings.edu, revenueflow.com, qz.com, nature.com, cbi.ggu.edu
Claude
Several cities are pulling AI activity away from the Bay Area's gravitational center, each carving out a different niche:
Seattle is the most notable. It's now leasing AI office space faster than almost anywhere else in the country — its AI footprint grew 42% since 2024, trailing only San Francisco's growth rate by a single percentage point, with over 560,000 square feet of new AI leases added in the past six months alone. Cloud-AI companies are drawn there partly for infrastructure talent — one exec noted Seattle now has an even higher concentration of AI infrastructure talent than the Bay Area itself.
The Real Deal
New York was the first big wave after the Bay Area, anchoring AI adoption in financial services — risk modeling, compliance automation — plus consulting and media applications of generative AI.
Insight Global
Boston ranks just behind Seattle in cumulative AI leasing activity, benefiting from a state-level push to attract AI tenants, and leans heavily on biotech and research-institution-driven AI hiring, favoring advanced-degree specialists.
The Real Deal
Insight Global
Austin has essentially graduated from "emerging" to established — CBRE now ranks it a top-five tech talent market globally, alongside the Bay Area and Seattle.
KORE1
The Research Triangle (Raleigh-Durham) is the standout newer entrant: CBRE tagged it the most-improved market, moving it to No. 12 overall, and CompTIA ranks the metro fifth nationally for tech economic impact — driven by strong…
Trimmed here; the full answer is in the viewer.
Named: San Francisco Bay Area, Seattle, New York City, Boston, Austin, Raleigh-Durham, Salt Lake City, Nashville, Denver, Atlanta, Dallas, Phoenix, Tampa, Columbus, Huntsville, Los Angeles
Sources cited: therealdeal.com, insightglobal.com, kore1.com, allwork.space, britechgroup.com
Gemini
While the San Francisco Bay Area captures the majority of venture capital, several US metropolitan areas are rapidly building specialized AI hubs centered around university research, key regional industries, and computing infrastructure.
Cushman & Wakefield
Metro Area Specialized AI Focus Key Growth Drivers
New York City Applied AI, Fintech, & Media Ranks second in total AI/ML company concentration with over 1,000 firms, led by financial risk modeling, predictive analytics, and enterprise software.
Seattle Cloud AI & Enterprise Automation Anchored by Microsoft and Amazon Web Services (AWS), serving as a primary hub for scalable cloud infrastructure, LLM deployment, and enterprise software.
Boston Healthcare AI, Biotech, & Robotics Generates the highest volume of AI research output in the nation, leveraging MIT and Harvard research for drug discovery, medical imaging, and robotics.
Austin Startups & Deep Tech Regional AI investment grew by more than 60% year-over-year, boosted by UT Austin talent, lower operational costs, and major investments like xAI.
Washington, D.C. Defense AI, Public Sector, & Policy Produces extensive AI academic research while driving federal government integration, defense contracting, and policy frameworks.
Pittsburgh Autonomous Systems & Industrial Robotics Anchored by Carnegie Mellon University's robotics and NLP research labs, attracting autonomous vehicle and industrial automation firms.
Dallas-Fort Worth AI Infrastructure & Compute Functions…
Trimmed here; the full answer is in the viewer.
Named: San Francisco Bay Area, New York City, Seattle, Boston, Austin, Washington, D.C., Pittsburgh, Dallas
Sources cited: cushmanwakefield.com, hubblehq.com, aiworld.eu
Perplexity
Beyond the Bay Area, the strongest U.S. AI hubs are New York, Seattle, Boston, Washington, D.C.–Baltimore, Austin, Los Angeles, San Diego, Chicago, Atlanta, and Dallas. A newer emerging tier includes Pittsburgh, Detroit, Madison, Huntsville, St. Louis, Tampa, Raleigh–Durham, Boulder, and Columbus—places with notable strengths in research, specialized industries, or AI adoption but not yet the full concentration of talent, capital, and companies found in Silicon Valley.
brookings
+3
Established alternatives
Metro area Why it is an AI hub Particularly strong areas
New York City Dense technical and business talent, major startup financing, universities, and a large base of potential enterprise customers Financial services, media, advertising, healthcare, enterprise AI
Seattle Anchored by large cloud and technology companies, with a deep engineering workforce and cloud-computing infrastructure Cloud AI, foundation-model infrastructure, retail and enterprise software
Boston Exceptional research-university and hospital ecosystem, plus a long-standing robotics and biotech base Biotech, health AI, robotics, scientific AI
Washington, D.C.–Baltimore Federal agencies, procurement, national-security demand, universities, and research funding make it distinct from consumer-tech centers Government, defense, cybersecurity, public-sector AI
Austin Fast-growing tech labor market and startup ecosystem, reinforced by corporate expansions and Texas’s business base Enterprise software,…
Trimmed here; the full answer is in the viewer.
Named: San Francisco Bay Area, New York City, Seattle, Boston, Washington, D.C., Austin, Los Angeles, San Diego, Chicago, Atlanta, Dallas, Pittsburgh, Detroit, Huntsville, Tampa, Raleigh-Durham, Denver, Columbus
Sources cited: hubblehq.com, foxbaltimore.com, getcoai.com
Published by PursueATL. Research by Resonate Labs. Data collected September 2026.