Shield AI, Waabi and General Motors team up to build AI at TechCrunch Disrupt 2026 where failure isn’t an option
| Source: TechCrunch | Original article
At TechCrunch Disrupt 2026, leaders from Shield AI, Waabi and General Motors discussed building AI systems where failure is not an option.
Leaders from Shield AI, Waabi and General Motors took the stage at TechCrunch Disrupt 2026 to discuss how to build artificial‑intelligence systems that can’t afford to fail. The “Building AI Systems When Failure Is Not an Option” panel featured Shield AI CTO Nathan Michael, Waabi founder Raquel Urtasun and GM robotics‑strategy director Mikell Taylor. Each speaker described the safety‑first culture required for autonomous aircraft, self‑driving cars and industrial robots, stressing rigorous testing, transparent validation pipelines and close collaboration with regulators.
The discussion is significant because the three companies operate at the front line of high‑stakes autonomy. Shield AI’s platform‑agnostic mission‑autonomy software, Waabi’s self‑driving stack and GM’s robotics initiatives all target environments where a software error can have physical consequences. By sharing concrete practices—such as hardware‑in‑the‑loop simulations, incremental roll‑outs and formal safety cases—the panel underscored a growing industry consensus that AI reliability must be engineered, not retrofitted.
The conversation dovetails with broader moves toward coordinated safety standards. As we reported on 24 September, Google, OpenAI and Anthropic are planning an AI‑safety standards body that would operate without direct government oversight. The panel’s emphasis on testing regimes and regulatory engagement suggests that industry players may soon align their internal practices with emerging external frameworks.
What to watch next: further announcements from the three firms on real‑world deployments, especially any pilot programs that apply the safety protocols discussed. Keep an eye on the timeline for the proposed standards body, which could formalise the best‑practice guidelines highlighted at Disrupt. Follow‑up sessions at upcoming conferences are likely, as the sector continues to grapple with the challenge of making autonomous systems trustworthy at scale.
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