What topics will be discussed on the Real World AI stage?

Key topics include AI integration in robotics, autonomous systems, edge computing, critical technology safety, and biotech projects such as extinct species revival.

Which companies will participate in Real World AI?

Confirmed participants include Nvidia, Shield AI, Colossal Biosciences, FieldAI, Foxglove, and other startups developing AI for physical-world applications.

Why is universal AI for robotics lagging behind other AI fields?

Robotics faces data scarcity and a lack of universal models, unlike language models or autonomous vehicles, which benefit from extensive datasets.

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Artificial intelligence

TechCrunch Disrupt 2026: New Real World AI Stage with Nvidia, Robots, and Extinct Species Revival Projects

September 2, 2026

Photo: TechCrunch

Quick answer

TechCrunch Disrupt 2026 introduces the Real World AI stage, spotlighting AI applications in physical environments, including robotics, autonomous systems, edge computing, and biotechnology.

TechCrunch Disrupt 2026 will unveil a new Real World AI stage dedicated to artificial intelligence applications in the physical world. Organizers emphasize that AI is evolving beyond digital tools, increasingly integrating with physical systems—from autonomous robots to biotechnology.

A major focus will be the development of universal AI for robotics. Experts, including a representative from Nvidia, will discuss why this segment lags behind others. The primary challenge is the lack of sufficient data and simulation environments to accelerate progress, as seen with language models.

The stage will also host discussions on the safety of autonomous systems deployed in defense, aviation, and transportation. Speakers from Shield AI and other companies will explore AI testing, validation approaches, and regulatory hurdles faced by developers of critical technologies.

Biotechnology will receive special attention: Colossal Biosciences CEO Ben Lamm will share insights on projects to revive extinct species and the role of AI in modern biology. A dedicated session will cover edge computing—technologies enabling AI deployment in low-connectivity environments, such as space or industrial sites.

The event will take place from October 13 to 15 in San Francisco, serving as a platform to discuss AI’s future in the physical world and opportunities for startups and investors in this field.

Common questions

What topics will be discussed on the Real World AI stage?: Key topics include AI integration in robotics, autonomous systems, edge computing, critical technology safety, and biotech projects such as extinct species revival.
Which companies will participate in Real World AI?: Confirmed participants include Nvidia, Shield AI, Colossal Biosciences, FieldAI, Foxglove, and other startups developing AI for physical-world applications.
Why is universal AI for robotics lagging behind other AI fields?: Robotics faces data scarcity and a lack of universal models, unlike language models or autonomous vehicles, which benefit from extensive datasets.

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