Disrupt expands AI programming

TechCrunch Disrupt 2026 is adding a dedicated Real World AI Stage to explore how artificial intelligence interacts with physical hardware and public spaces.

“we’re expanding the single AI stage into two!”

Robots need physical data

While language models had the web, general-purpose robotics lacks massive real-world datasets, delaying their breakthrough ChatGPT moment.

“That data gap is the single biggest reason most experts believe general-purpose robotic intelligence is still years away”

When failure isn't allowed

Deploying physical AI in defense, aviation, and autonomous vehicles requires an uncompromising safety culture and rigorous real-world validation.

“How do you know when your system is ready to be safely deployed?”

Engineering nature with AI

Colossal Biosciences uses advanced biology and AI to revive extinct species, sparking debate over conservation versus technological intervention.

“turning de-extinction from science fiction into a billion-dollar business.”

Running AI without cloud

Critical edge deployments in defense and space must function reliably without cloud connectivity or high-latency dependencies.

“The most valuable AI deployments in the world operate where the cloud can’t reach.”

Escaping prototype death valley

Building a working hardware prototype is easy compared to navigating supply chains and scaling up profitable production in physical reality.

“A prototype that works is not a product. A product that ships is not a scaled business.”

Five specialized track stages

Beyond physical AI, Disrupt 2026 features stages focused on financial trust, energy grid strain, SaaS security, scaling tactics, and broad tech trends.

Gathering in San Francisco

More than 10,000 founders, investors, and tech leaders will convene at Moscone West from October 13 to 15 to map out the future of tech.