OpenAI vs. Anthropic, the AI shift that's rattling software stocks and AI Super bowl commercials

Watch on YouTube ↗  |  February 05, 2026 at 21:37  |  29:24  |  CNBC
Speakers
Guillermo Rauch — Co-founder and CEO of Vercel
Deirdre Bosa — Anchor/Reporter, CNBC Tech Check

Summary

CNBC's Deirdre Bosa interviews Guillermo Rauch, co-founder and CEO of Vercel, about the rapid AI model releases from OpenAI, Anthropic, and Google and the resulting pressure on software stocks. Rauch argues AI coding agents are making software cheaper and more generative, threatening legacy software pricing while driving more workloads to cloud infrastructure. He also discusses private AI labs, open-source Chinese models, agent security, and Google's potential AI comeback.

  • AI model releases intensify competition among OpenAI, Anthropic, Google, and others.
  • AI coding agents enable non-technical users to build and deploy software quickly.
  • Legacy software and SaaS face downward pricing pressure as software becomes generative.
  • Cloud infrastructure is seen as a beneficiary as AI agent workloads move to cloud.
  • Open-source and Chinese models offer cheaper alternatives but remain behind frontier.
  • Security, sandboxing, and virtualization are key requirements for autonomous agents.
  • Google is viewed as a potential AI comeback story on image/video model strength.
  • The episode highlights private AI labs and Vercel, limiting direct public-market expressions.
Ideas
Guillermo Rauch Co-founder and CEO of Vercel 4:17
AI makes software free, pressuring legacy SaaS.
AI coding agents and models are making software creation dramatically cheaper and easier, effectively making software free and enabling just-in-time, personal, and throwaway applications. This erodes demand for static, expensive legacy enterprise software and should create downward pricing pressure, contributing to the selloff in software stocks, though he does not claim every software stock will go to zero.
Guillermo Rauch Co-founder and CEO of Vercel 15:01
AI agents drive cloud infrastructure demand.
As AI agents take on more work, they need sandboxing, firewalls, virtualization, snapshot/restore, and secure token access; these workloads will move to the cloud, benefiting cloud infrastructure and large platforms that can host millions or trillions of digital workers.
Guillermo Rauch Co-founder and CEO of Vercel 21:11
Google AI comeback on model strengths.
Google is going to make a comeback in AI as it refocuses on coding and leverages leading image and video models like Nano Banana and Veo, giving it strong competitive positioning across important AI modalities.
Up Next

This CNBC video, published February 05, 2026, features Guillermo Rauch discussing IGV, SKYY, GOOG. 3 trade ideas extracted by AI with direction and confidence scoring.

Speakers: Guillermo Rauch  · Tickers: IGV, SKYY, GOOG