VC funding shifts: AI takes 60% share

Venture capital is not just leaning toward AI now — it is bunching up around it. In the first quarter of 2026, global startup funding hit absurd highs, but the headline number hides the real story: a handful of giant AI rounds did most of the work. OpenAI, Anthropic, xAI, and Waymo pulled in sums so large they changed what “normal” venture data even looks like. That matters because when one theme takes most of the money, every other startup has to fight harder just to be seen. (news.crunchbase.com) ### Is the “60% share” claim real? Basically yes — and in some datasets it is already higher. PitchBook showed AI and machine learning startups taking 57.9% of global VC dollars in Q1 2025, with North America at 70.2%. EY also showed AI deals making up more than 60% of US VC-backed investment in Q4 2024. So the “AI(news.crunchbase.com)fore 2026. (pitchbook.com) ### What changed in Q1 2026? The scale blew out. Crunchbase says investors poured $300 billion into 6,000 startups globally in Q1 2026, an all-time high, and $242 billion of that — 80% — went to AI companies. KPMG’s separate tally is even larger at $330.9 billion glob(pitchbook.com)t broadly normalize — it got more concentrated. (news.crunchbase.com) ### Which companies are warping the numbers? A very short list. Crunchbase says OpenAI raised $122 billion, Anthropic $30 billion, xAI $20 billion, and Waymo $16 billion in Q1 2026. Those four rounds alone totaled $188 billion, or 65% of all global venture funding in the quarter. That is the key thing to understand(news.crunchbase.com)labs and adjacent infrastructure players are sucking in capital at a scale that dwarfs everybody else. (news.crunchbase.com) ### Is this only about model companies? No — but the biggest checks still went there. KPMG says investors also chased semiconductors, data centers, robotics, autonomous vehicles, legal tech, energy management, and other AI-linked infrastructure or vertical software. So the money is spreading across the stack, just (news.crunchbase.com)se orbits around them. (assets.kpmg.com) ### What happened to non-AI startups? They got crowded out. Crunchbase’s 2025 and 2026 snapshots both show funding rising while deal counts stay weak or fall, which means more dollars are being packed into fewer companies. In North America, roughly $168 billion — about 60% of 202(assets.kpmg.com) not just compete on product anymore — they compete against the market’s attention span. (news.crunchbase.com) ### Why are investors still doing this? FOMO is part of it, but the more practical answer is expected power-law returns. If investors believe a few AI platforms will become foundational infrastructure, missing one winner hurts more than overpaying for several losers. PitchBook captured that mood cle(news.crunchbase.com)es eventually turn giant capital burns into durable profits. That part is still unresolved. (pitchbook.com) ### What is the real risk here? Concentration risk. If AI keeps absorbing most venture dollars, the industry starts to look less like diversified early-stage investing and more like a barbell of giant private bets. That can inflate valuations, narrow the set of fundab(pitchbook.com)wns when revenue lags the hype. (pitchbook.com) ### So what is the bottom line? The story is not just that AI is hot. It is that venture’s rebound is increasingly an AI megadeal rebound. If you are building in AI, the window is wide open — especially in models, compute, and tools around them. If you are not, you need a sharper story than “good company in a normal category,” because normal categories are no longer where the money is clustering. (news.crunchbase.com)