Artificial intelligence continues to dominate the conference circuit, and Disrupt 2026 is responding by expanding its AI programming into two distinct tracks. For the first time, the event will feature a dedicated Real World AI Stage, focusing on how AI is moving from digital systems into physical environments such as factories, homes, vehicles, and even biological ecosystems. The new stage will run alongside the event’s existing AI Stage, with sessions designed for founders, engineers, and investors interested in the practical deployment of AI technologies.
The Real World AI Stage arrives at a time when AI is no longer confined to text generation and image recognition. Autonomous drones are operating in conflict zones, humanoid robots are being tested in warehouses, and machine learning tools are accelerating genetic engineering. Disrupt 2026 intends to highlight these developments, offering a deep dive into what it takes to build AI systems that interact with the real world. The event is scheduled to take place October 13 through 15 at Moscone West in San Francisco, with more than 10,000 startup, technology, and venture capital leaders expected to attend.
A Split Stage for a Growing Industry
Past Disrupt events have featured a single AI stage, but the rapid evolution of the field has made it necessary to separate conversations about software, models, and enterprise AI from those about robotics, autonomous systems, and physical infrastructure. The traditional AI Stage will continue to address large language models, business model disruption, security concerns, and the impact of AI on software companies. The new Real World AI Stage will instead concentrate on the convergence of digital intelligence with tangible machines, sensors, and actuators.
This split mirrors the broader split within the AI industry itself. On one side are companies like OpenAI and Anthropic, which focus on large-scale models and reasoning. On the other are organizations such as Nvidia, which builds the hardware and software platforms that power physical AI, and Colossal Biosciences, which uses AI in genetic research to bring back extinct species. The Real World AI Stage aims to capture both the engineering challenges and the ethical questions that arise when AI is given a body and a purpose in the physical world.
Bridging the Data Gap for Robots
One of the most anticipated sessions is titled “Robots Are Waiting for Their ChatGPT Moment. Here Is What Is Standing in the Way.” The session will feature Les Karpas, Head of Physical AI at Nvidia. Karpas is expected to discuss why robots have not yet experienced the kind of capability breakthrough that large language models did when they were trained on vast amounts of internet data. While LLMs had access to trillions of words, robots lack equivalent datasets. Self-driving cars have logged millions of miles, but general-purpose robots do not have a comparable reservoir of real-world interactions to learn from.
That data gap is widely considered the primary reason why general-purpose robotic intelligence remains years away. Startups are now racing to solve this problem by building data pipelines, simulation environments, and foundation models specifically designed for physical AI. Nvidia has positioned itself at the center of this effort, providing the computing platform that enables robot developers to train and test their systems in virtual environments before deploying them in the physical world. Karpas’s session will explore what a so-called ChatGPT moment for physical AI would actually require and whether the industry is approaching that milestone or still far off.
Safety and Trust in High-Stakes Environments
Another key session is “Building AI Systems When Failure Is Not an Option,” featuring Nate Michael, Chief Technology Officer of Shield AI. Shield AI is known for developing autonomous aerial systems used in defense and security applications. When AI is deployed in a military drone, a commercial aircraft, or an industrial vehicle, the consequences of a mistake are severe. A software failure can result in a crash, a grounded mission, or the loss of life. This session will address how founders and engineering leaders can create a safety culture, validate AI systems through rigorous testing, navigate regulatory hurdles, and earn public trust when stakes are high.
Michael’s experience with Shield AI provides a concrete example of these challenges. The company’s autonomy software is designed to allow drones to operate without GPS and without a human pilot, relying on onboard sensors and AI to navigate uncertain environments. Building such systems requires more than just high-accuracy algorithms; it requires verification and validation processes that can identify failure modes before they occur. The discussion will likely touch on how companies can balance speed with caution and what frameworks exist for determining when a system is safe enough for real-world deployment.
De-Extinction and the Role of AI in Biology
One of the more unusual conversations on the Real World AI Stage will feature Ben Lamm, CEO and founder of Colossal Biosciences. Lamm has turned de-extinction into a multi-billion-dollar venture, aiming to resurrect species such as the woolly mammoth and the thylacine. In a fireside chat titled “Can We Engineer Nature’s Comeback?” Lamm will discuss the technologies his company has developed to edit genomes, create synthetic embryos, and use artificial intelligence to analyze biological data.
The session will also consider whether engineering nature is truly a conservation breakthrough or a distraction from protecting existing species. Colossal’s work has drawn both excitement and criticism, but its ambition highlights an emerging area where AI and biology intersect. Machine learning algorithms are being used to predict gene function, optimize gene edits, and assemble complete genomes from ancient DNA. AI’s role in such work is essential, as the sheer complexity of genetic data requires processing power far beyond human capability. Lamm’s appearance at Disrupt 2026 offers a rare, in-depth look at how a startup approaches a scientific challenge that was once considered purely fictional.
When the Cloud Can’t Keep Up
Another panel, “Operating at the Edge: How AI Works When the Cloud Doesn’t,” will bring together Dr. Ali Agha, CEO and founder of FieldAI, Michelle Lee, CEO and founder of Medra, and Aidan Madigan-Curtis, a partner at Eclipse Ventures. These leaders work in the fields of defense, space, and industrial AI. Their session will focus on systems that must operate in remote or hostile environments where cloud connectivity is limited or impossible. In such conditions, AI must run locally, with minimal latency and no ability to ask a central server for guidance.
Edge AI is increasingly critical for autonomous vehicles, agricultural equipment, ocean exploration, and space missions. FieldAI, for instance, builds autonomy software for off-world rovers and landers, preparing them to operate on the Moon, Mars, and beyond. Medra is working on AI-driven medical devices that need to function in ambulances or other locations without stable internet. This panel will share practical lessons on architecture, design trade-offs, and system reliability, offering insights that can be applied to any AI deployment that must survive disconnected, unpredictable conditions.
Scaling From Prototype to Production
“From Prototype to Production: Can It Scale in Reality?” is designed to address a common challenge for deep tech startups. The panel includes John Mackey, CEO and co-founder of MBRYONICS, Boris Sofman, co-founder and CEO of Bedrock Robotics, and Adrian Macneil, CEO of Foxglove. The conversation will explore why many startups fail to make the leap from a working prototype to a profitable commercial product. A lab demonstration can work flawlessly, but manufacturing at scale introduces issues related to supply chains, quality control, cost, and reliability.
MBRYONICS is involved in space hardware, Bedrock Robotics builds humanoid robots for industrial settings, and Foxglove provides data management and visualization tools for robotics companies. Each founder has direct experience bridging the gap between engineering and operations. Attendees can expect to hear about mistakes they have made, decisions they would reverse if given a second chance, and how they learned to design for manufacturing from day one.
More Stages and Speakers at Disrupt 2026
The Real World AI Stage is just one part of a larger programming lineup at Disrupt 2026. The main Disrupt Stage will feature top executives from Replit, Amazon, Tether, and other major players. The AI Stage will dive into the security gaps and business model changes that AI is forcing on software companies. The Smart Money Stage will cover stablecoins, instant payments, and how AI is reshaping financial trust. The Smart Systems Stage will look at energy breakthroughs, grid strain, and infrastructure concerns driven by AI’s growing power demands. The Builders Stage will be a practical resource for founders and investors interested in fundraising, hiring, and scaling their ventures.
Disrupt 2026 is also set to include the popular Startup Battlefield, where early-stage companies compete on stage, along with networking sessions and an exhibition floor filled with innovative businesses. Organizers have announced early-bird pricing, with discounts available on tickets. A promotion is currently offering up to $300 off, and anyone interested in attending can register online for the October event at San Francisco’s Moscone West.
Source: TechCrunch News