Why companies stopped betting on AI pilots and started pricing outcomes

Redpoint's 2026 update: -35% horizontal SaaS, +3% vertical SaaS tells the real story

Horizontal SaaS is down 35% over the past 12 months while vertical SaaS holds essentially flat at +3%, per Redpoint's 2026 Market Update — the application layer is rotating away from generic productivity and toward industry-specific AI-native tools. The megarounds are still chasing scale, but the sharpest Series A and B capital is now chasing depth in one industry. Which deck are you holding?

Why companies stopped betting on AI pilots and started pricing outcomes

Enterprise AI budgets just hit an average of 207 million dollars per company while 42 percent have already ditched at least one AI project and 79 percent are actively struggling to make it work. The market isn't retreating though - it's splitting hard between a tiny group of companies that can clear the new security and governance gates and everyone else bleeding budget on pilots that never scale. Wildest shift: 63 percent of buyers now require human validation of AI outputs, up from just 22 percent a year ago, which means the fully autonomous agent pitch that dominated early 2025 is now basically a dealbreaker.

Why KKR bypassed venture capital with 14 7 billion in Q1 filings

KKR just filed 14.7 billion dollars across two vehicles in Q1 and then dropped over 10 billion to build Helix — a platform designed to own the actual physical infrastructure of AI before most VCs even realized the game changed. While traditional venture was still writing Series B checks into software companies, private equity locked down data centers, power grids, and is now negotiating with Google to become the direct distribution layer for AI models into their portfolio companies. This isn't PE competing with VC anymore — it's PE rewriting what the capital stack even looks like, and if your fund strategy was built for a world where 500 million was considered large, you're not just outgunned, you're playing a sport that got reclassified.

Beyond xAI the 2 billion semiconductor bet nobody covered

While everyone obsessed over OpenAI's $122 billion raise, $4.3 billion quietly flowed through SEC filings into eight companies nobody talked about—inference chips, data infrastructure, AI hiring platforms—the actual plumbing that makes frontier AI work. Marvell raised $2 billion for custom silicon, MatX got $530 million for inference optimization, and Mercor landed $330 million targeting the skills gap that's killing 95% of enterprise AI pilots. The mega-rounds got the headlines but the SEC Form D tape just showed you what smart money is actually buying: the companies OpenAI can't operate without.

Pharma deal flow collapsed 62 percent while AI startups hide in plain sight

Pharma deal flow didn't collapse 62.5 percent last quarter — it just stopped filing as pharma. AI-native drug discovery companies like Recursion and Insitro are filing under "Other Technology" because their value lives in computational platforms, not clinical pipelines, which means healthcare funds tracking SEC codes are literally missing deals before they hit the committee. Total healthcare-adjacent deal count stayed completely flat at 74 deals, but if your allocation strategy runs on sector labels instead of manual tagging, you're benchmarking against a category that no longer describes where the actual capital is flowing.