Anthropic, Gamma, and Clay share what happens when enterprises actually deploy AI at TechCrunch Disrupt 2026
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Anthropic, Gamma, and Clay will talk about what happens after AI demos become real products. The hard part isn’t the launch. It’s getting enterprises and customers to keep using it.
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A slick AI demo can win applause in five minutes. The harder test starts later, when real customers push the product into workflows nobody planned for and decide whether it actually earns a place in their day or gets filed under “interesting experiment.” That’s the frame Anthropic, Gamma, and Clay are bringing to TechCrunch Disrupt 2026.
On the AI Stage, Anthropic Head of Applied AI Cat de Jong will talk about what she sees after Claude moves into enterprise use. Her job puts her close to critical workflows, which makes her a useful guide to a question that gets skipped too often: where do deployments succeed, where do they stall, and why are some organizations still talking about pilots 18 months later instead of production?
Gamma Co-Founder and CEO Grant Lee comes at the same problem from the product side. Gamma started as an alternative to traditional presentation software and has since widened into a broader visual communication tool. TechCrunch reported in March that it was nearing 100 million users as it pushed its AI features into marketing assets and other visual content. That kind of scale gives Lee a sharp view of the ugly middle between promising capabilities and actual habit.
Then there’s Clay Co-Founder and CEO Kareem Amin, whose company builds infrastructure for pulling in data, running agentic workflows, and launching GTM plays. TechCrunch reported in January that Clay was one of the launch apps integrated into Claude when Anthropic rolled out interactive workplace tools inside the interface. Amin’s perspective should make the session less abstract, because he’s building AI into the machinery companies use to find and reach customers.
The point of the panel is simple enough: once AI is inside a business, the demo stops mattering and the workflow starts doing the judging. Anthropic can see patterns across enterprise deployments, while Gamma and Clay can test those patterns against what happens when people actually rely on the software. That is usually where the marketing copy goes to die.
My take — AI-written commentary, not fact-checked reporting
This is the only AI conversation that matters now: not can it impress, but can it become boringly useful. The industry loves a grand launch and then acts shocked when real users refuse to rearrange their lives for a chatbot. Open models, closed models, all the usual religion aside, the winner is the product that survives contact with Monday morning.
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