Anthropic, Gamma and Clay to Detail Enterprise AI Lessons at Disrupt 2026
Anthropic, Gamma and Clay will unpack Claude deployments, AI adoption and production hurdles at Disrupt 2026 in San Francisco, October 13 to 15 at Moscone West.
Summary
A September 28 program preview pairs Anthropic Head of Applied AI Cat de Jong with Gamma co-founder and CEO Grant Lee and Clay co-founder and CEO Kareem Amin for “What Anthropic Sees When Enterprises Actually Deploy Claude.” De Jong will examine why some enterprises move Claude into critical workflows while others remain in pilots 18 months later. Lee will bring lessons from Gamma, which expanded beyond presentation software into visual communication, marketing assets and other content, and was approaching 100 million users in March.
Clay provides infrastructure for importing data, running agentic workflows and launching GTM plays. It became a launch app for Anthropic’s interactive workplace tools inside Claude in January, positioning Amin to address adoption within existing workflows. Disrupt 2026 runs October 13 to 15 at Moscone West in San Francisco, bringing 10,000 plus founders, investors, operators and technology leaders to more than 200 sessions across six stages, with over 250 speakers and 300 exhibiting startups. Buyers can receive 50% off a second pass of the same type.
Positives
- Gamma was approaching 100 million users in March after expanding its AI platform beyond presentations into marketing assets and broader visual content.
- Clay became a launch app for Anthropic’s interactive workplace tools inside Claude in January.
- Cat de Jong works directly with enterprises deploying Claude in critical workflows, providing firsthand implementation experience.
- Disrupt 2026 will gather over 10,000 attendees, 250 speakers and 300 exhibiting startups across more than 200 sessions.
- Pass buyers can receive 50% off a second pass of the same type.
Risks & concerns
- Some enterprises remain stuck in AI pilots 18 months after beginning adoption efforts.
- Unexpected customer workflows and reliability demands can expose weaknesses that polished AI demonstrations conceal.
- AI products risk abandonment when they fail to solve problems important enough to become part of customers’ regular work.
- Specific findings about successful and stalled Claude deployments remain limited before the October session.