Where is the best place in the US to build an AI company if you are not in San Francisco?

ChatGPT

If you are building an AI company and do not want to be in San Francisco, I would rank the best U.S. locations like this:

Rank City Best for Why

1 Seattle, WA AI infrastructure, deep tech, enterprise AI Probably the strongest non-SF AI ecosystem: Microsoft, Amazon, NVIDIA presence, world-class engineers, ML researchers, and serious enterprise buyers.

Axios

2 Austin, TX General AI startups, developer tools, applied AI Best founder lifestyle + growing tech density. Strong recruiting, lower costs than SF, lots of venture activity. Texas has become a major tech hub with companies relocating and expanding there.

Financial Times

3 New York, NY AI + finance, healthcare, media, enterprise Best if your AI product touches Wall Street, marketing, law, healthcare, or enterprise workflows. NYC remains one of the largest startup ecosystems outside Silicon Valley.

GrowthList

4 Boston/Cambridge, MA AI research, biotech AI, robotics Best academic AI environment outside the Bay Area because of MIT, Harvard, and biotech density.

5 Raleigh-Durham, NC Efficient engineering teams, applied AI Excellent talent-to-cost ratio because of Duke, UNC, and NC State.

6 Atlanta, GA Enterprise AI, fintech, logistics Underrated: large corporations, strong universities, cheaper talent, and good airport connectivity.

7 Denver/Boulder, CO Developer tools, climate AI, robotics Strong technical culture and lifestyle appeal.

My personal ranking depends heavily on the type of AI company:

If you are building a…

Trimmed here; the full answer is in the viewer.

Named: Seattle, Austin, New York City, Boston, Raleigh-Durham, Atlanta, Denver, San Francisco Bay Area, Georgia Tech, Miami, Los Angeles, Chicago, Salt Lake City

Sources cited: axios.com, ft.com, growthlist.co, southernliving.com

Claude

There's no single "correct" answer here — it really depends on what kind of AI company you're building — but a few US cities keep coming up as the strongest alternatives to SF right now:

New York is the clearest #2 for AI broadly. It's the world's second-ranked startup city, growing about 11.6% and holding a clear lead over other US cities outside SF. It's especially strong if your AI product sells into finance, media, healthcare, or enterprise — you get customer proximity that SF doesn't offer, plus a deep (if less AI-research-dense) engineering pool.

StartupBlink

Seattle is probably the best pick if you want technical depth without SF costs. Founders there can recruit from the Allen Institute for AI, the University of Washington CS pipeline, and teams doing frontier cloud/LLM research — one of the few US markets where you can build a strong technical team without competing directly with Bay Area salaries everywhere. Trade-off: it's still fairly expensive, and the weather isn't for everyone.

OpenVC

Austin is the pick for capital efficiency. One analysis argued that while SF still has denser AI research talent and NYC still wins on enterprise customer access, Austin offers the best balance of capital efficiency and ecosystem maturity for most US founders in 2026.

HackerNoon

Los Angeles has gotten notably stronger for AI specifically — it now has one of the fastest-growing AI talent pools in the country, with over 13,600 AI specialists and roughly 79% venture funding…

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Named: San Francisco Bay Area, New York City, Seattle, Austin, Los Angeles, Boston, Pittsburgh

Sources cited: startupblink.com, openvc.app, hackernoon.com, californiabiztech.com, startupproject.org

Gemini

If you are building an AI company outside San Francisco, the best city depends heavily on your target sector, funding strategy, and talent requirements. Outside of the Bay Area, several key U.S. markets have established dominance by leveraging distinct ecosystem advantages:

1. New York City: Best for Commercial & Vertical AI

New York accounts for roughly 11% to 13% of the U.S. AI workforce, placing it second only to San Francisco in equity funding and market presence.

The Advantage: NYC is unmatched for applied, domain-specific AI, particularly in fintech, media, enterprise advertising, and fashion.

Talent & Capital: It hosts deep venture capital networks and benefits from institutions like Columbia, NYU, and research centers like the AI Now Institute.

2. Seattle: Best for Infrastructure, Cloud & Foundation Models

Seattle is widely recognized as the enterprise and cloud infrastructure capital of the U.S.

The Advantage: Home to tech giants Microsoft and Amazon Web Services (AWS), the region possesses a dense population of systems engineers, distributed cloud experts, and AI researchers.

Focus Areas: Ideal for companies building infrastructure layer tools, developer platforms, and enterprise AI automation.

3. Boston: Best for BioTech, Deep Tech & Robotics

Boston is the premier academic tech powerhouse and biotech capital in the U.S.

The Advantage: Driven by MIT and Harvard, Boston specializes in hard science, physical AI, hardware, robotics, and life sciences.…

Trimmed here; the full answer is in the viewer.

Named: New York City, Seattle, Boston, Austin, San Francisco Bay Area

Sources cited: cset.georgetown.edu, arubaexec.com, sifars.com

Perplexity

New York City is the best all-purpose U.S. location for building an AI company outside San Francisco. It combines unusually deep pools of technical talent, customers, capital, and industry data—especially if you are building enterprise AI, fintech, vertical software, media tools, healthcare-adjacent products, or AI agents for knowledge work. New York has also become the country’s largest tech-talent hub in a recent CBRE study, and major AI labs and platforms maintain substantial local presences.

aol

The short answer

Choose NYC if your company needs any combination of:

Fast access to enterprise design partners and paying customers

Fundraising without needing to fly constantly to the Bay Area

Talent spanning ML, engineering, product, sales, finance, law, and operations

A large local market for fintech, insurance, advertising, media, retail, healthcare, and professional-services AI

A founder network broad enough to recruit a full commercial organization, not just a research team

NYC is not necessarily cheaper than San Francisco, and it is not the strongest choice for every AI category. But it is the most balanced alternative: New York State ranked second nationally in venture investment in 2026 in one report, though still far behind California, and the city’s ecosystem is particularly strong where AI must integrate with regulated, complex, customer-heavy industries.

wsj

+1

Best city by AI type

If you’re building… Best non-SF location Why it fits

Enterprise AI, agents,…

Trimmed here; the full answer is in the viewer.

Named: New York City, San Francisco Bay Area, Boston, Pittsburgh, Austin, Los Angeles

Sources cited: aol.com, valueaddvc.com, technext.it, startupurban.com, benpouladian.com, baincapitalventures.com