The 10 cities AI founders should actually be in for 2026

Where should an AI founder actually be in 2026? It is the question I get asked more than any other, and the honest answer has shifted in the last two years. The ranking below is based on the four things that actually matter for an AI startup: senior talent, capital, customers, and visa-and-immigration friction. Anything else (weather, food, lifestyle) is a tiebreaker, not a primary input.

I am SF-based, biased on that front, but I have spent meaningful time in most of the cities below in the last 18 months. This is a working ranking, not a theoretical one.

For the city-by-city AI scenes — which talks are happening this week, which dinners are worth applying to — the AI events feed for London is the version of this list that updates in real time. The same approach works for SF, Paris, Berlin, NYC.

How I am ranking these

Four factors:

1. Senior talent depth — how many senior research engineers, applied ML engineers, and AI-product-people the city actually has. Not how many it claims.
2. Capital density — how easy is it to raise a seed, Series A, and Series B from local money. Travel-to-fundraise is fine for one round, not five.
3. Customer access — how close are your prospective enterprise or consumer customers. SF has its own gravity here that gets understated.
4. Friction — visas, regulation, cost of living, the structural taxes on building.

The cities that score well across all four are the ones that ranked. The cities that win on one and lose on three are honourable mentions.

The methodology caveat

This is opinion-grounded-in-public-data, not a research paper. Numbers like "deepest senior pool" come from public hiring data, public funding announcements, public job postings, and a meaningful amount of conversation with founders in each city. Treat the ranking as a starting point for your own analysis, not a definitive answer.

#1 — San Francisco

Still #1, despite cost. The senior research-engineer talent pool is structurally deeper than anywhere else and the gap is not closing fast. OpenAI, Anthropic (HQ), Google DeepMind's SF presence, the entire YC AI cohort each year, the AGI House and party-house scene, the venture flywheel that turns a Series A into a Series B at speed.

The downsides are real — total comp for senior engineers has crossed $1m, the cost of living is brutal, the visa story for non-Americans is the worst of any major hub. But the talent gravity is the talent gravity.

If you are doing pure research, frontier-model work, or an AI startup that needs to compete at the global frontier of capability, SF is still the default and probably the right call.

#2 — London

A jump above Paris in this list, narrowly, because of three things: Google DeepMind's headquarters status (not a satellite office, the actual HQ), Anthropic's growing London office, and the regulatory clarity for enterprise AI sales into UK and EU customers post AI Act.

The talent pool is meaningfully wider than Paris (Imperial, UCL, Cambridge, Oxford, the strong applied-ML pool), even if the very top of the research pool is thinner. Capital has matured significantly — Index, Atomico, Balderton, Accel London, Hoxton, LocalGlobe all lead AI rounds at sane valuations now. The visa story (Skilled Worker, Global Talent) is workable.

The bet here is that London becomes the EU's applied-AI capital while Paris is its research capital. So far in 2026 that bet is playing out.

#3 — Paris

The biggest mover in the last 18 months. Mistral's rise (genuinely the only European company at frontier-model scale), Hugging Face's continued strength, the Polytechnique-and-ENS pipeline, and an aggressive French government posture on AI sovereignty have shifted the centre of European AI gravity toward Paris.

The talent pool of senior research engineers in Paris is now comparable to London, possibly deeper at the very top. Capital is improving fast — French sovereign-fund money plus the wider European VC presence in Paris.

The gap to London is closing. Some readers will think Paris should be #2 already. I am giving London the edge for now on capital depth and English-language defaults, but the gap is small and probably narrowing further.

#4 — New York

Underrated as an AI city because it is not research-frontier-focused. The applied-AI-into-finance scene is the deepest in the world. Applied-AI-into-media (publishing, advertising, content) is also concentrated here. The engineering pool is large.

If your customer base is Wall Street, the FT, the major media companies, or the consumer-facing fintechs based in NYC, being in New York materially helps sales.

The visa story is the same as SF's (bad), the cost is similar to SF's (bad), but for the right ICP, NYC is a strong #4.

#5 — Berlin

The cost-and-talent compromise position. Cheaper than London or Paris by a real margin, with a credible AI scene anchored on Mistral's German office, the open-source community, TU Berlin, and a culture that values research-and-depth over commercial sprint.

The capital is the bottleneck. German LP money is conservative, the pace of fundraising is slower, and the Series B and beyond market is thinner than London or Paris. For seed-stage and bootstrap-friendly companies, Berlin is genuinely a great place to build.

#6 — Singapore

The applied-AI-into-fintech capital for the entire ASEAN region. MAS regulatory clarity is the best of any hub, the Singapore Fintech Festival creates an annual capital-and-customer convergence, the engineering pool is deep, and the visa story is fine.

If your AI startup is going to sell into Asian banks, regional payments companies, or ASEAN consumer markets, Singapore is the right base. Cost of living has crept up to near-SF levels, which is the main downside.

#7 — Bangalore

The engineering-depth play. The volume of senior software and ML engineers in Bangalore is genuinely one of the largest in the world, and the cost asymmetry for a global team is meaningful. Stripe Bangalore, Razorpay, the wider AI-services and AI-product scene that has grown up since 2022.

The downside for non-Indian founders is the visa story (workable but slow) and the customer-access story (Indian consumer is huge but the global enterprise customer base is not in Bangalore). For an India-first or global-engineering-team-cost-anchor play, Bangalore is the right city.

#8 — Tel Aviv

The applied-AI-into-cybersecurity capital, plus a hyper-dense engineering pool with defence-and-security-adjacent talent that very few other places have. The enterprise security pipeline (Palo Alto Networks, Wiz, the next generation of Israeli security companies) creates a customer-and-talent flywheel.

The geopolitical situation is the real friction. Practical operations during periods of conflict are difficult. Visa-and-immigration story is complicated. But the talent depth in this specific vertical is genuinely unique.

#9 — Toronto

The friendly-visa AI city. Vector Institute, the broader Canadian ML pipeline, the strong cooperation between universities and industry, the clear path for international talent that cannot get into the US.

A meaningful amount of European and Asian AI talent that "should" be in SF is in Toronto for visa reasons. That talent flow is a real input to the city's AI scene. Cost of living is moderate, capital is improving, customer access is decent (NYC and SF are easy flights).

#10 — Dubai

The capital-and-customer hub for the MENA, South Asian, and African AI markets. Family office and sovereign wealth deployment in AI is genuinely accessible here, the regulatory posture is friendly (especially for crypto-and-AI crossover), and the no-income-tax structure is meaningful for senior recruiting.

Talent depth is the bottleneck. The senior engineering pool in Dubai is not yet at the level of the top 5, but it is growing fast. For founders building for the MENA region or selling into Gulf capital, Dubai earns its top-10 spot in 2026.

Honourable mentions

• Montreal — Mila, the academic ML pipeline, the cost-of-living advantage. Just outside the cut.
• Seattle — Microsoft, AWS, the applied-AI-into-cloud scene. Strong but a single-employer-dominated talent pool.
• Austin — the destination for SF expats, growing fast, but the AI scene specifically is still building. SXSW and Austin Startup Week help.
• Stockholm — Klarna, Spotify's ML team, the wider Nordic AI scene. Smaller and more vertical-specific.
• Zurich — Google Zurich, the ETH pipeline, but the broader scene is small and the cost is brutal.
• Tokyo and Seoul — both have real depth in specific verticals (robotics, gaming, certain enterprise AI) but language and customer-access friction keep them just outside the cut for most non-Asian founders.

What this list is not

It is not "where you can have the best lifestyle as an AI founder." Several of the top cities (SF, NYC, Singapore) are brutal on cost and quality of life. If lifestyle is the primary input, the ranking changes considerably (Berlin, Paris, Lisbon, Amsterdam all jump up).

It is not "where you can build any AI company." It is "where you can build an AI company that needs senior talent, capital, and customer access at the global frontier." A bootstrapped applied-AI agency selling into local SMBs can be built profitably from almost anywhere with internet.

It is not static. The order between #2 and #5 will probably reshuffle in the next 12 months. Paris is the most likely to climb. Berlin is the most likely to fall (capital remains the bottleneck). NYC could rise if the applied-AI-into-finance scene continues to grow.

How to actually use this

If you have not picked a city yet: pick from the top 5 unless you have a specific reason to be lower. The top 5 dominate every dimension that matters at frontier AI scale.

If you are already somewhere: do not move just because of this list. The real optimization is to be in your home city and visit two of the top 5 every quarter. Most serious AI founders I know in London or Paris are in SF every six weeks. The travel is the cost of doing business at frontier.

If you are choosing between two of these for a relocation: weight the visa friction heavily. The cities that score similarly on talent and capital often differ enormously on visa, and the visa story dominates a five-year horizon for most non-Americans.

For the week-to-week pulse of the AI scene in any of the top cities, the AI events feed for London is the working version of this list. The other cities have their own. Pick yours and check it weekly. The actual scene is what is happening this week, not what is happening in a thinkpiece.