Anthropic, Gamma, and Clay share what happens when enterprises actually deploy AI at TechCrunch Disrupt 2026
Sep 28, 2026, 8:30 AM · TechCrunch
TechCrunch previews a Disrupt 2026 session where Anthropic’s Cat de Jong, Gamma’s Grant Lee, and Clay dig into what happens after the AI demo ends.
Why it matters
TechCrunch Events promotes an AI Stage session at Disrupt 2026—“What Anthropic Sees When Enterprises Actually Deploy Claude”—featuring Anthropic Head of Applied AI Cat de Jong alongside Gamma co-founder/CEO Grant Lee and Clay, focused on patterns after deployment rather than slideware possibility.
De Jong works with enterprises putting Claude into critical workflows and will discuss where deployments succeed, stall, and what separates teams extracting value from those still piloting 18 months later. Lee brings the builder’s view from growing Gamma beyond presentation software into broader visual communication. The pitch: demos look brilliant in five minutes; customers then push products into unanticipated workflows and learn whether the problem was big enough to stick.
From the desk
We’re covering the session preview because the thesis is the news: post-deployment reality is where most enterprise AI stories go to die or get real.
Useful AI earns its keep in messy workflows, not keynotes. Anthropic sitting next to product founders who live on retention is the right panel design. If de Jong shares falsifiable patterns—what breaks at week six, which governance models unstick pilots—the industry gets signal. If it is only customer-success theater, skip it.
I’m watching for honesty about failure modes: permission sprawl, evaluation gaps, and the pilot that never graduates. Eighteen months of pilot purgatory is a pattern we keep seeing; naming what ends it is worth a conference pass.
Pro-useful-AI means celebrating production, not demos. We’ll listen for that standard on stage.
Context
TechCrunch, September 28, 2026, Disrupt 2026 events preview (conference October 13–15, San Francisco per on-page promo).
Who feels it
- Enterprise AI buyers
- Steal the questions: time-to-production, workflow ownership, and what “critical path” means for Claude.
- AI startup founders
- Gamma/Clay angle: distribution and habit after the novelty fades.
- Anthropic field teams
- Public expectations rise if Disrupt claims outpace what customers experience.
What to watch
- Concrete metrics or case patterns shared on stage
- Whether Anthropic publishes a post-Disrupt writeup with the same candor
- Audience Q&A on safety and data boundaries in enterprise Claude deploys
Companies: Anthropic