Anthropic and OpenAI Lead Disrupt 2026 AI Stage on Security and Growth
Anthropic, OpenAI, AWS, Okta and Databricks leaders join Disrupt 2026's AI Stage to tackle security, pricing and AI-native business growth.
Summary
Disrupt 2026 announced on August 27 that its AI Stage, presented by Google for Startups, will run October 13 to 15 at Moscone Center in San Francisco. More than 10,000 startup, technology and venture capital leaders are expected, with access to other stages, Startup Battlefield, networking and the exhibition floor. The current ticket window offers savings of up to $200, and more speakers are planned.
Anthropic Head of Applied AI Cat de Jong will examine why enterprise Claude deployments succeed, stall or remain pilots after 18 months. OpenAI Head of Productivity Tara Seshan and Clay co-founder and CEO Kareem Amin will cover GTM engineering, a role that did not exist two years ago but is now among technology’s fastest-growing, with independent practitioners building million-dollar businesses. Databricks co-founder Arsalan Tavakoli, Okta product president Ric Smith, AWS executive Chet Kapoor, Luta Security’s Katie Moussouris and 1Password’s Wendy Nather will address autonomous AI in sensitive systems, observability, governance, infrastructure security and flawed application-level permissions. Decart CEO Dean Leitersdorf and Luma AI CEO Amit Jain will discuss real-time visual inference and physical reasoning. Glean CEO Arvind Jain, Monte Carlo CEO Barr Moses, Sapphire Ventures partner Cathy Gao and NEA partner Aaron Jacobson will examine sustainable AI pricing, defensible moats and SaaS models as foundation models become commoditized.
Positives
- More than 10,000 startup, technology and venture capital leaders are expected at Moscone Center from October 13 to 15.
- GTM engineering has become one of technology’s fastest-growing roles within two years, with independent practitioners building million-dollar businesses.
- Cat de Jong will share lessons from enterprises deploying Anthropic’s Claude across critical workflows.
- Dean Leitersdorf and Amit Jain will examine visual AI’s advance into real-time inference and physical reasoning.
- Tickets remain eligible for savings of up to $200 during the current pricing window.
Risks & concerns
- Some enterprise Claude deployments remain stuck in pilot programs after 18 months.
- Traditional security frameworks were not designed for autonomous AI operating at current speed and scale.
- Agentic AI requires infrastructure-level security rebuilding, while application-level permission models are described as fundamentally flawed.
- Commoditized foundation models are weakening traditional software moats and complicating sustainable AI pricing.
- Autonomous decisions inside sensitive enterprise systems increase the consequences of inadequate observability, governance and architecture.