The AI Stage Returns at TechCrunch Disrupt 2026

AI hasn't just changed how startups build their products—it has reshaped how they sell, protect their data and customers, and scale their businesses at a pace never seen before. As TechCrunch Disrupt 2026 approaches, "The AI Stage" returns to spotlight the most hotly debated topics in the tech community in recent years, featuring an elite lineup of industry leaders.

Event Date and Venue

The conference takes place from October 13 to 15 at the Moscone Center in San Francisco, where experts from across the AI sector gather to discuss the real-world challenges facing startup founders today. The main themes revolve around three core issues: how to price AI products as models become a commodity available to everyone, the need to rebuild agentic AI security from the infrastructure level, and what it means to build a go-to-market plan in a world entirely powered by AI.

What Happens After Deployment?

Most conversations about AI in enterprises kick off before the implementation stage, but one standout session begins where others end. As Anthropic's head of applied AI, Kate DeYoung works directly with organizations deploying the Claude model in their most sensitive tasks. This session reveals patterns that don't show up in press releases: where deployments succeed immediately, where they stumble, and what distinguishes organizations reaping real value from those still stuck in the experimentation phase after eighteen months.

New Jobs Created by AI

Just two years ago, GTM Engineering didn't exist at all. Today, it has become one of the fastest-growing roles in the sector, with independent practitioners building companies valued in the millions of dollars. One session explores how AI has shrunk the traditional marketing ecosystem and created an entirely new specialty in its place, explaining how AI-driven marketing works and its impact on company growth.

Agentic AI Security Under the Microscope

AI is now making independent decisions within the most sensitive enterprise systems, at a speed traditional security frameworks were never designed to handle. Specialized sessions discuss what enterprise AI security actually requires in 2026, featuring prominent experts including:

Arsalan Tavakoli, co-founder and SVP of Field Engineering at Databricks.
Chet Kapoor, VP of Security Services at AWS.
Katie Moussouris of Luta Security.
Wendy Nather of 1Password.

The speakers emphasize that agentic AI, despite its power, was never built to be secure—pushing organizations to rebuild cybersecurity fundamentals from scratch, while reviewing application-level permission models they consider fundamentally flawed.

Is the SaaS Era Over?

The conference raises a pivotal question: is the Software-as-a-Service (SaaS) model dead, or is it evolving? One session brings together founders and platform leaders grappling with this challenge in real time, including Arvind Jain, founder and CEO of Glean, and Barr Moses, co-founder of Monte Carlo, along with investors from Sapphire Ventures and NEA. Attendees leave with a deeper understanding of how to price AI products sustainably and build defensible competitive advantages.

Visual Intelligence and the New Frontiers of Capability

Visual AI has moved beyond flashy demos to real-time inference and physical reasoning. Founders at the forefront of this field—including Dean Leitersdorf of Decart and Amit Jain of Luma AI—discuss what happens when the ability to generate turns into genuine intelligence.

Alongside these sessions, more than ten thousand startup, tech, and venture capital leaders gather, with access to various stages, the Startup Battlefield competition, and extensive networking opportunities. The core question uniting the tech community remains: how do you build a sustainable business in the age of AI?

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