Anthropic and OpenAI are joining the AI stage at TechCrunch Disrupt 2026
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Anthropic and OpenAI are joining TechCrunch Disrupt 2026’s AI Stage. The talks are about real enterprise AI pain: pricing, security, and the new jobs AI is creating.
Based on reporting by TechCrunch, TechCrunch Events — read the original for the full story.
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TechCrunch Disrupt 2026 is putting AI back at the center of the show, and this year the AI Stage has a very clear agenda: stop talking about hype and start talking about how companies actually make money, protect their systems, and hire for jobs that didn’t exist a couple of years ago. The stage is presented by Google for Startups and runs October 13–15 at Moscone Center in San Francisco.
The speaker list gives away the mood. Anthropic’s Cat de Jong, who leads Applied AI, is set to talk about what happens after enterprises deploy Claude, not before. That matters because the awkward part of enterprise AI usually starts after the pilot deck is signed off: where deployments succeed, where they stall, and why some companies are still stuck in pilot mode 18 months later.
OpenAI is showing up too, through Tara Seshan, Head of Productivity. Her session frames “AI-native” go-to-market work as a real discipline, not a buzzword. TechCrunch says GTM engineering didn’t exist two years ago and now it’s one of the fastest-growing roles in the industry, with independent practitioners building million-dollar businesses. That is a sharp reminder that AI is not just changing software products; it is rearranging the sales machine around them.
Security is getting just as much attention. Databricks’ Arsalan Tavakoli will argue that enterprises need observability, governance, and a different architecture if they want to trust AI systems making autonomous decisions inside sensitive environments. Okta’s Ric Smith is taking on the agent-security problem directly, with a message that application-level permissions are fundamentally not enough. The cloud, in other words, just got harder to explain to compliance teams.
There’s also a practical business thread running through the whole thing. A session on rewriting SaaS asks whether the old playbook is dead or simply mutating, while another looks at video intelligence moving past flashy demos into real-time inference and physical reasoning. TechCrunch is also dangling a pricing deadline, saying buyers can save up to $200 before the current window closes. The bigger pitch is simpler: if AI is rewriting the stack, this is where the people building it come to compare notes in public.
My take — AI-written commentary, not fact-checked reporting
This is the right set of topics, which is almost suspicious. The industry is finally admitting that AI has turned pricing, security, and go-to-market into the real product, while the model itself slides toward commodity status. That’s the part everyone keeps trying to dress up as innovation when it’s really just rent collection with better branding.
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