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TechCrunch Disrupt 2026’s new Real World AI Stage features Nvidia, robots, and extinct animals

At previous iterations of TechCrunch Disrupt, artificial intelligence has consistently dominated the conversation, claiming both the spotlight in our general programming and its own dedicated track. However, the pace of innovation has accelerated so dramatically that a single stage is no longer sufficient to capture the breadth of the industry. For TechCrunch Disrupt 2026, we are doubling down, expanding our AI coverage into two distinct tracks.

While the traditional AI Stage will continue to provide the deep dives into software and business models you have come to expect, we are thrilled to introduce the brand-new Real World AI Stage. This track is specifically designed to explore the friction—and the fusion—between digital intelligence and the physical environment. As autonomous hardware migrates from controlled test tracks into public infrastructure, defense sectors, residential homes, and even the realm of biological restoration, the need to understand this transition has never been more urgent.

The lineup for this new stage is packed with industry pioneers, including representatives from Shield AI, Colossal Biosciences, FieldAI, and Foxglove. Join us from October 13 to 15 at San Francisco’s Moscone West to witness these discussions firsthand.

Bridging the Gap Between Bits and Atoms

The inaugural programming for the Real World AI Stage addresses the most pressing challenges facing physical intelligence today. Here is a breakdown of the sessions you can expect:

Robots Are Waiting for Their ChatGPT Moment

Large language models (LLMs) benefited from the vast, pre-existing repository of the internet, and self-driving vehicles have been fueled by millions of hours of road data. Robots, by contrast, lack a unified data source. This data deficit remains the primary hurdle preventing general-purpose robotic intelligence from reaching the mainstream. A new generation of startups is now racing to build the necessary simulation environments and foundation models to trigger a capability explosion similar to what we witnessed with LLMs.

  • Key Question: What are the actual requirements for a "ChatGPT moment" in physical AI, and how far are we from that reality?
  • Featured Speaker: Les Karpas, Head of Physical AI at Nvidia.

Building AI Systems When Failure Is Not an Option

When AI transitions into the physical realm, the stakes shift from software crashes to real-world consequences. A single error could result in a grounded aircraft, a vehicle collision, or a compromised mission. In this session, leaders from the defense and autonomous vehicle sectors will tackle the difficult question of determining when a system is truly ready for deployment.

"How do you know when your system is ready to be safely deployed? We’ll dig into how founders can create a safety culture, test and validate AI, navigate regulatory hurdles, and build companies that can earn trust when the stakes are high."

  • Featured Speaker: Nate Michael, CTO of Shield AI.

Can We Engineer Nature’s Comeback?

Ben Lamm, CEO of Colossal Biosciences, has turned the concept of de-extinction from speculative science fiction into a billion-dollar enterprise. This fireside chat will examine the intersection of AI and modern biology, exploring the technologies used to revive extinct species and the ethical debate surrounding whether engineering nature is a conservation breakthrough or a dangerous distraction.

Operating at the Edge: How AI Works When the Cloud Doesn’t

The most impactful AI deployments often occur in environments where cloud connectivity is nonexistent or unreliable. This session gathers experts from space, defense, and industrial AI to discuss the "edge" playbook—architectural principles and design trade-offs that ensure systems remain functional when latency is high and connectivity is limited.

  • Featured Speakers: Dr. Ali Agha (FieldAI), Michelle Lee (Medra), and Aidan Madigan-Curtis (Eclipse Ventures).

From Prototype to Production: Scaling in Reality

A functional prototype is a far cry from a scalable business. Many deep-tech startups falter in the "valley of death" between lab-tested hardware and profitable, high-volume manufacturing. Founders from space hardware, humanoid robotics, and autonomous systems will share their hard-won lessons on navigating supply chains and manufacturing realities.

  • Featured Speakers: John Mackey (MBRYONICS), Boris Sofman (Bedrock Robotics), and Adrian Macneil (Foxglove).

Beyond the Real World AI Stage

The Real World AI Stage is just one component of the comprehensive experience awaiting attendees at Disrupt 2026. Our broader programming includes:

  • Disrupt Stage: Featuring top-tier speakers from Replit, Amazon, and Tether.
  • AI Stage: Focusing on the security vulnerabilities and business model shifts currently reshaping the SaaS landscape.
  • Smart Money Stage: Covering the evolution of stablecoins, instant payment systems, and the role of AI in financial trust.
  • Smart Systems Stage: Tackling the fusion breakthroughs and grid infrastructure challenges powering the next decade of AI.
  • Builders Stage: A tactical track for founders and investors focused on hiring, fundraising, and scaling.

Disrupt 2026 will bring together more than 10,000 startup, tech, and VC leaders for three days of networking, the Startup Battlefield competition, and unparalleled access to the future of technology. Register today to secure your spot in San Francisco.

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