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At our past TechCrunch Disrupt events, AI has taken center stage, both throughout our programming and in a stage of its own. This year, the technology, implications, and players are so rapidly developing and widespread that we\u2019re expanding the single AI stage into two!<\/p>\n
The AI Stage<\/a> will continue as you\u2019d expect, with a rundown of sessions and speakers available for review right here. But the Real World AI Stage is brand-new for TechCrunch Disrupt 2026<\/a>.<\/p>\n On this stage, we\u2019ll be focusing on that intersection between the digital and physical, and all the ways we\u2019ll continue to see a blending of the two, as autonomous hardware goes beyond self-driving cars and enters public spaces, battlefields, our homes, and even potentially helps extinct species reenter Earth.<\/p>\n It\u2019s a packed lineup featuring speakers from Shield AI, Colossal Biosciences, FieldAI, Foxglove, and more still to come. You can join in on all the excitement October 13 to 15 at San Francisco\u2019s Moscone West, so register to attend right here.<\/a><\/p>\n But in the meantime, here\u2019s the breakdown of our Real World AI Stage lineup:<\/p>\n Large language models had the internet. Self-driving cars have millions of hours of road data. Robots have neither. That data gap is the single biggest reason most experts believe general-purpose robotic intelligence is still years away, despite the breakthroughs happening everywhere else in AI. A new wave of startups is racing to close it, building the data pipelines, simulation environments, and foundation models that could trigger the same capability explosion we saw with LLMs. This session asks the hard question: what does the ChatGPT moment for physical AI actually require, and how close are we really?<\/p>\n With Les Karpas, Head of Physical AI, Nvidia<\/em><\/p>\n When AI enters the physical world, the consequences of failure change. A mistake could lead to a grounded aircraft, a vehicle crash, or a compromised mission.<\/p>\n In this session, leaders who are building autonomous vehicles, defense technologies, and industrial systems will talk about one of the toughest questions that every hard tech founder must face: How do you know when your system is ready to be safely deployed? \u00a0<\/p>\n We\u2019ll 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. \u00a0\u00a0<\/p>\n With<\/em> Nate Michael, CTO, Shield AI<\/em><\/p>\n Ben Lamm has built one of the most controversial companies in tech by turning de-extinction from science fiction into a billion-dollar business. In this fireside chat, the Colossal Biosciences CEO will discuss the technologies used to revive extinct species, the role AI plays in modern biology, and the growing debate over whether engineering nature is a conservation breakthrough or a distraction from protecting what\u2019s already here.<\/p>\n With Ben Lamm, CEO, Colossal Biosciences<\/em><\/p>\n The most valuable AI deployments in the world operate where the cloud can\u2019t reach. And building for them requires a different technological playbook. \u00a0<\/p>\n This session brings together leaders from defense, space, and industrial AI who will share how they have tackled the challenge of making AI work at the edge \u2014 where latency matters, connectivity is limited, and failure isn\u2019t an option. Expect practical lessons on architectural principles, design decisions, and trade-offs that make AI-centric systems work in the real world. \u00a0\u00a0<\/p>\n With Dr. Ali Agha, CEO and founder of FieldAI; Michelle Lee, CEO and founder, Medra; and Aidan Madigan-Curtis, partner, Eclipse Ventures<\/em><\/p>\n A prototype that works is not a product. A product that ships is not a scaled business. The gap between each of those stages is where most deep tech startups die. Founders might have the right team and tech, but they fail to understand what it takes to bring a prototype into production and eventually scale to higher, profitable volumes. \u00a0<\/p>\n This session brings together founders who have crossed that gap in space hardware, humanoid robotics, and autonomous systems. They\u2019ll share what they got wrong, what they\u2019d do earlier, and what the prototype-to-production journey looks like when supply chains and manufacturing realities replace lab conditions.<\/p>\n With John Mackey, CEO, co-founder, MBRYONICS; Boris Sofman, co-founder and CEO, Bedrock Robotics; and Adrian Macneil, CEO, Foxglove<\/em><\/p>\n There\u2019s plenty more in store for you at Disrupt 2026 \u2014 after all, that\u2019s just one stage\u2019s worth of programming! For a sense of what else you\u2019ll get to access, we\u2019ve also announced the:<\/p>\n Be part of Disrupt 2026 in San Francisco from October 13\u201315<\/a>, where more than 10,000 startup, tech, and VC leaders come together for three days of insights, Startup Battlefield, unparalleled networking, and access to every stage and the exhibition floor.\u00a0\u00a0<\/p>\n Register today!<\/strong><\/a>\u00a0<\/strong><\/p>\n<\/div>\n When you purchase through links in our articles, we may earn a small commission<\/a>. This doesn\u2019t affect our editorial independence.<\/em><\/p>\nRobots Are Waiting for Their ChatGPT Moment. Here Is What Is Standing in the Way<\/h2>\n
Building AI Systems When Failure Is Not an Option\u00a0<\/h2>\n
Can We Engineer Nature\u2019s Comeback?\u00a0<\/h2>\n
Operating\u00a0at the Edge: How AI Works When the Cloud\u00a0Doesn\u2019t\u00a0<\/h2>\n
From Prototype to Production: Can it scale in reality?\u00a0<\/h2>\n
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