Why US Startups Are Still the World's Best Career Bet in 2026

In March 2025, OpenAI raised $40 billion in a single round.

That same year, every venture-backed startup in Europe — across the UK, Germany, France, Spain, the Nordics, all of it — raised about $44 billion combined (Atomico, State of European Tech 2025).

One company. One round. Roughly equal to a continent.

I keep coming back to that contrast when someone asks me whether the US is still the place to bet a tech career on. It's the cleanest data point I know. It cuts through every "America is in decline" think-piece, every SF-is-finished essay, every European founder podcast about how the EU is catching up.

It isn't.

I run Nexus (trynexus.now), a platform that places candidates with non-traditional backgrounds into US startups. I have skin in this game — but I also see candidates choose the other path every week, and I watch how that math plays out. So I want to argue this honestly.

The decline narrative is roughly two years out of date

Most of the "US is over" takes you'll read in 2026 are recycled from 2023, when ZIRP was unwinding, FTX had just collapsed, and Bay Area office vacancy was the dominant tech story. That moment was real. It also ended.

In 2025, North American startups raised $280 billion across seed through growth-stage rounds — up 46% year-over-year, the highest annual total in four years (Crunchbase). About $168 billion of that — roughly 60% — went to AI-related companies. Late-stage and tech-growth dealmaking alone hit $191 billion, up 75% from 2024.

Then Q1 2026 happened. Crunchbase clocked $300 billion in global venture investment in a single quarter — the largest quarter ever recorded. AI took $242 billion of that, around 80%. Four mega-rounds — OpenAI ($122B), Anthropic ($30B), xAI ($20B), and Waymo ($16B) — absorbed 65% of all global venture capital between them.

You can argue with the concentration. You can't argue with the math. The US is not in retreat. It's pulling away.

Funding density: the gap is wider than it was in 2021

Let me give you the comparison nobody actually does cleanly.

In 2025, the US captured roughly two-thirds of all global private tech investment. Europe — the next-largest ecosystem — raised $44 billion total. The UK led at $14.4 billion, Germany at $7.4 billion, France at $6.1 billion (Atomico).

The Bay Area alone, in a single quarter (Q1 2025), pulled in $55 billion — 49% of global venture funding from one metro region. Not one country. One metro.

In AI specifically, the gap is brutal. The US deployed about $146 billion into AI startups in 2025. Europe deployed $14 billion. Ten times. That's not a catch-up trajectory — it's a divergence. Deep tech across the Atlantic? US: $130 billion. Europe: $16 billion (Atomico).

European VCs will tell you their dollars create more long-term value per dollar deployed. They might be right. But "more efficient capital" doesn't help an engineer trying to join a company at the moment it's compounding hardest. The compounding is happening here.

Every AI lab that matters is in the United States

This is the part the EU-catching-up side doesn't have a clean answer for.

OpenAI: $186 billion+ total funding, $852 billion valuation. San Francisco. Anthropic: $67 billion total, $183 billion valuation as of September 2025. San Francisco. xAI: $38 billion+. Bay Area and Memphis. Cursor (Anysphere) raised $2.3 billion at a $29 billion valuation in November 2025. San Francisco. Scale AI: Meta took a $14.3 billion stake at a $29 billion valuation in June 2025, pulling Alexandr Wang into Meta's AI org. San Francisco again.

Europe's headline answer is Mistral, which raised €1.7 billion in September 2025. Real company, real work. It's also roughly a tenth of what Anthropic raised in the same month.

The asymmetry isn't just capital. It's the entire stack layered on top: the compute partners (Nvidia, AWS, Azure, CoreWeave — IPO'd March 2025), the customer base (US enterprises spending the AI dollar earliest and largest), the talent density (Stanford, Berkeley, MIT, CMU pipelines feeding directly into the labs), the secondary economy of frameworks, infra companies, and applied AI startups orbiting the labs.

If you're an engineer who wants to spend the next five years near the frontier of the most consequential technology of your generation, you have to be in California. There is no second place.

Software stopped being a moat. The new moats are mostly American.

On Lenny's Podcast, Snapchat CEO Evan Spiegel said something that stuck with me: software is not a moat. Modern AI tooling means a competent two-person team can replicate most software features in weeks. The historical defense — "we built it first, we'll outpace you on velocity" — is gone.

So where are the new moats?

Three places, all heavily concentrated in the US. AI infrastructure — compute, inference, custom silicon. Defense tech. And the physical-atoms layer that AI is colliding with: energy, hardware, robotics.

On No Priors, Baseten CEO Tuhin Srivastava made the case that inference clouds — not chat interfaces — are the bottleneck of the AI era. Companies like CoreWeave, Lambda ($1.5B Series E in 2025), and the new generation of inference-optimized infra startups are absorbing that capital. Defense tech globally raised $7.7 billion in 2025 — almost entirely concentrated in US companies like Anduril ($2.5B Series G in June 2025 at a $30.5B valuation), Shield AI ($2B at $12.7B), True Anomaly ($600M Series D for in-orbit defense), and Project Prometheus ($6.2B at launch). Europe's entire defense tech sector raised $1.6 billion the same year — a record for the continent, and still less than a quarter of what the US deployed.

Then there's the energy story. AI data centers are running into the physical electricity grid. Sourcery VC has been profiling companies like Exowatt — building modular off-grid power for gigawatt-scale data centers using rocks and concentrated sunlight. That kind of company — AI-driven, hardware-anchored, infrastructure-scale — is almost exclusively a US thing right now.

If you want to be early on the moats that actually hold for the next decade, you want to be in the rooms where they're being built. Those rooms are mostly in California, with a few in Boston, NYC, and Austin.

The hyper-lean team has changed what "early employee" means

There's a structural shift in how startups staff up that gets less coverage than the funding numbers, but it might matter more for individual career math.

Y Combinator's recent batches keep emphasizing the same point: with agentic workflows, a three-person founding team can ship what twenty engineers shipped a decade ago. Standard Capital's B2B AI Series A thesis is similar — the new best-in-class Series A companies are 8 to 15 people doing meaningful ARR. They're not hiring armies. They're hiring two or three engineers who can each operate as half a team.

What this means in practice: the leverage of being employee #5 at a fast-compounding US AI startup in 2026 is higher than it's ever been. You're closer to the founder. Your equity is meaningful in a way it wasn't at 50-person companies of the same stage five years ago. Your scope is unbounded. There is nowhere to hide and no one to delegate to. Either you ship or the company doesn't.

This is also why "I'll just stay in a stable role at a regional headquarters" is the wrong move if you're optimizing for slope. Stable roles teach you to operate inside someone else's machine. Hyper-lean US startup roles teach you to build the machine. Different skill, different ceiling.

What's most underpriced outside the US right now

Two profiles are getting brutally mispriced outside the US in 2026, and both create asymmetric arbitrage for the engineers who fit them.

The first: hardware engineers. The robotics boom is real and accelerating. Physical Intelligence raised $600 million in a 2025 Series B. Figure AI has crossed $3.2 billion in total funding. Project Prometheus launched with $6.2 billion to apply AI to physical tasks. Anduril, Skydio, Shield AI — defense and autonomy companies are absorbing every mechatronics, controls, and embedded engineer they can find. There aren't enough of them. Every founder I talk to in this space says the same thing: the bottleneck isn't capital, it's hardware-fluent engineers who can also work in software-paced cycles.

Outside the US, hardware engineering is undervalued in a structural way. In Singapore, the cultural and economic logic pushes top STEM graduates toward banking tech, gov-linked tech roles, and pure software — places where the comp ladder is legible and the career path is mapped. A hardware engineer in Singapore earns a fraction of what a hardware engineer in San Francisco earns for the same skill set, and the equity ceiling is even lower because the local hardware-startup density is thin. The same gap shows up across most of Asia and parts of Europe. If you can work with atoms — mechanical, electrical, embedded, controls, robotics — and you've been treated as a slightly-less-prestigious engineer because of it, the US repricing is going to be the most consequential career event of your decade.

The second profile: people whose primary edge is qualitative — critical thinking, creativity, taste, the ability to frame an unbounded problem and decide what's worth building.

Singapore's education system is exceptional at producing legibly-strong students. It's structurally bad at producing people who can sit with ambiguity, make a non-obvious bet, and own the consequences. That's not a knock on individuals — there are plenty of Singaporean engineers and PMs with those qualities. It's a knock on the system that selects against them. Variations of the same dynamic show up across most East Asian education cultures and parts of continental Europe.

In a hyper-lean US startup, where a three-person team has to decide what to build, who to hire, what to ignore, and how to position against a bigger incumbent — qualitative judgment is the binding constraint, not technical execution. The person who can hold five competing considerations in their head, run a small experiment to disambiguate, and write a clean paragraph explaining the decision is worth more than the person who can grind through a leetcode hard. The US ecosystem prices that gap correctly. Most others don't.

If your edge is taste, judgment, or critical thinking — and you've spent years feeling like the system rewards a different profile — the US move isn't just about higher comp. It's about working in a context where the thing you're actually good at finally gets paid for properly.

The talent gravity well still works, even with immigration friction

The single most common objection I hear from engineers in Singapore, London, Tel Aviv, Bangalore, Lagos: "I'd love to bet on the US, but immigration is a nightmare."

Half right. The H-1B lottery is brutal — odds in any given year sit around 25-30%, and it's a one-shot annual draw. That part is real.

But there's an entire infrastructure of treaty visas that most engineers don't know about. If you're Singaporean or Chilean, you have access to the H-1B1 visa pathway — uncapped in practical terms, no lottery, predictable, structurally underused. If you're Australian, the E-3 works similarly. Canadians and Mexicans use TN under USMCA. UK citizens can use the E-1/E-2 treaty trader and investor visas. Israeli citizens have E-2 access. None of these guides exist on Nexus yet — they're on the roadmap — but the pathways are real and have been quietly enabling a tier of global engineers to skip the H-1B queue entirely for years.

If you're from a country without a treaty visa, O-1 (extraordinary ability) and L-1 (intracompany transfer) are the two routes I see work most often for senior people. Both are harder. Both are worth it.

The point: visa difficulty is a filter, not a wall. The candidates I work with who actually want to be in the US end up in the US. The ones who treat visa friction as the reason they can't go usually weren't going to go anyway.

Compensation: London is closing the gap, Berlin isn't

I won't quote specific 2026 numbers I can't fully cite — comp data is messy and gets stale fast. What I will say from direct experience placing candidates: total comp at frontier US AI startups for senior engineers is roughly two to three times what it is in London for equivalent roles, and three to five times what it is in Berlin or Paris.

London is the only ecosystem outside the US where I see consistent comp packages that even gesture at competitive. The HFTs (Citadel, Jane Street, Two Sigma) and the AI labs' London offices have pulled comp upward. But it's still not Bay Area parity — and it's certainly not Bay Area parity once you factor equity in early-stage US startups.

Berlin and Paris have a structural problem the EU has been arguing about for a decade: stock option taxation, vesting law, secondary markets. European employees get genuinely worse equity outcomes than US employees at the same stage of company. A €50M Series A in Berlin gives engineer #5 a fundamentally different financial outcome than a $50M Series A in San Francisco — same paper equity, very different cash-out.

Tokyo is its own thing. Comp is moderate, equity culture is nascent, but the lifestyle math runs differently. Tel Aviv is the ecosystem with the most genuinely competitive engineering comp outside the US, but the absolute cap is still lower than SF.

What "Europe is catching up" gets right — and what it doesn't

I want to engage this case because I see it clearly.

European tech is building a serious base. The combined ecosystem value crossed $4 trillion in 2025 — a fourfold increase in a decade. There are now 413 European unicorns, up from 127 in 2016 (Atomico). The European tech workforce — 4.3 million people in VC-backed companies — is growing faster than the US workforce in headcount terms. Founder optimism in Europe in 2025 hit its highest level since 2021. The talent breadth in deep tech, quantum (IQM in Finland), defense (Helsing in Germany, Tekever in Portugal), and AI infrastructure (NScale in the UK, $1.5B raised across two rounds) is real and getting deeper.

The case for Europe is essentially: stable rule of law, strong technical universities, lower cost of living, more humane working conditions, and a fast-growing ecosystem at the early stages. New unicorns emerged from 11 different European countries in 2025 — the breadth is genuinely impressive. If you're building a lifestyle business, optimizing for stability with good upside, or solving a problem that's genuinely European in scope (regulated industries, climate, sovereign defense), Europe is a good place to do it.

But the catch-up thesis breaks at the growth stage. European startups are roughly as likely as US startups to start strong, Atomico's data shows. They're far less likely to keep scaling. At 0.17%, European VC funding as a share of GDP is well below the US. Late-stage capital — the deep wells you need to ride a company from $50M ARR to IPO — is structurally thinner.

That gap shows up in revealed preference. Atomico estimates the EU has now exported over 100 unicorn founders to the United States — repeat founders who built in Europe and chose to incorporate or relocate their next venture in the US, mostly for access to growth capital and exit markets. 15% of surveyed European founders moved their company HQ to another country in 2025.

It also shows up in exit value. Europe accounts for roughly 10% of global startup exit value. The US accounts for more than half. If your career upside math depends on actually realizing equity at scale — IPO, acquisition, secondary — the US is where that liquidity event happens. SpaceX filed confidentially for IPO in April 2026 targeting $1.75 trillion. OpenAI is targeting Q4 2026 near $1 trillion. Databricks is pushing to H2 2026 at $134B. Cerebras is re-filing in Q2.

The breadth Europe is generating is real. The depth at the top of the funnel — the part where individual engineers' equity becomes life-changing — is still concentrated in five US zip codes.

The counter-arguments, taken honestly

I'll engage the strongest critiques in order.

Cost of living. SF and NYC are punishing. A senior engineer in San Francisco pays $4,000-$6,000 a month for a two-bedroom in a decent neighborhood. Healthcare is expensive even with employer coverage. Childcare is uniformly absurd. None of this gets solved by a bigger paycheck — it just gets less acute.

I won't pretend it's fine. What I'd argue is: most engineers I work with don't optimize for staying in SF or NYC for life. They optimize for being there during the highest-leverage years of their career — typically 25 to 40 — and bank capital and equity that gives them optionality later. The cost of living is a tax on the upside, not a disqualifier.

Visa and political volatility. This one's harder to dismiss. The US political environment in 2025-2026 has been actively hostile to immigrant tech workers in some respects — H-1B fee changes, increased scrutiny, periodic policy shocks. If you're risk-averse about institutional stability, this matters.

But the structural pathways — treaty visas, O-1, L-1, EB-1A — have not been substantively closed. Engineers who are in the country and contributing to flagship companies are largely fine. The risk profile is "annoying friction and periodic uncertainty" rather than "the door is closing." If your read is the door is closing, the empirical funding numbers don't support that read — Q1 2026 was the largest quarter for global VC ever recorded, almost all of it in the US.

AI is displacing tech jobs. The 127,000 US tech layoffs in 2025 (Crunchbase tally) are real. They're also concentrated. Most are at large incumbents shedding middle layers — Meta, Amazon, Google, Microsoft trimming PMs and mid-level engineers as they reorganize around AI-native workflows.

The frontier labs and AI-native startups are doing the opposite. OpenAI, Anthropic, xAI, Cursor, Anduril, Scale, Harvey — all hiring aggressively. Harvey alone went from $100M to $190M ARR in a few months, expanded to 350 employees, and raised at an $11 billion valuation in December 2025. The risk for tech workers in 2026 isn't AI displacing engineering. It's incumbents shedding middle layers while frontier companies hoard the engineers who can actually build with AI tools. If you're at the frontier, you're absorbing demand. If you're at a SaaS incumbent doing maintenance work, you're at risk regardless of geography.

SF is dead. The most empirically wrong of the popular theses. Bay Area startups captured $55 billion in Q1 2025 alone — 49% of global venture funding from a single region. Seed funding has become more concentrated in the Bay Area, not less. The SF AI scene in 2025-2026 has more density than at any point in the last decade. Whatever vibes-based decline narrative you've absorbed, the funding flows tell the opposite story.

Singapore, Tokyo, Hong Kong as a hub. I work with engineers across these markets every week. They're great for regional roles, established multinational tech, banking infrastructure, fintech, increasingly crypto. They are not where the next foundational AI labs are being built. Singapore in particular is excellent for stability and government-backed tech work — and structurally limited for frontier-scale upside, for reasons I dig into in Should Singaporean Engineers Bet on US Startups.

So who is this bet actually for?

The US tech career bet is right for you if:

You're in your highest-leverage years — roughly 22 to 38 — and willing to trade lifestyle stability for slope. You want exposure to the actual frontier of AI, defense, infrastructure, robotics, not the regionalized version of it. You're comfortable with chaotic environments where the org chart updates monthly. You can absorb periodic political and visa friction without it derailing you. You want optionality at the top end — IPO, acquisition, secondary market liquidity at scale.

The US bet is the wrong move if:

You're optimizing for low cost of living and stability. You have family or healthcare situations that make relocation genuinely hard. You're risk-averse about institutional volatility. You want a 9-to-5 with predictable advancement — that exists in the US, but it's not where the value compounds, so the geographic premium doesn't make sense.

I'm not telling you the US is paradise. The cost of living is brutal, the politics are loud, the work culture rewards the obsessed and grinds down the merely ambitious. The bet is asymmetric on purpose. The floor is uncomfortable. The ceiling is uncapped.

For the right reader, the math still works. For everyone else, there are excellent careers to build closer to home. Both are honest answers to the same question.

A note before you go

If you've already decided the US bet is right for you, the next question is logistics — how to find the right roles, how to navigate visa pathways from your specific country, how to understand which startups are actually inside the gravity well versus orbiting around it.

That's the problem Nexus exists to solve. If you're a non-traditional candidate — international background, non-CS degree, career switcher, anyone whose resume doesn't make you obvious to a Bay Area recruiter on first glance — we curate startups that hire globally and route candidates against frontier roles most platforms don't surface.

Find Nexus at trynexus.now. If you want to talk first, find me on LinkedIn.