Ricursive Intelligence, a startup founded by Anna Goldie and Azalia Mirhoseini, is pioneering AI-driven chip design to drastically speed up the hardware development cycle, traditionally taking two to three years. By creating AI systems that can design chips, learn from each iteration, and improve subsequent designs, Ricursive aims to reduce this process to weeks. This development could unlock faster innovation for AI hardware, fueling the next generation of more capable artificial intelligence.

Goldie and Mirhoseini bring significant expertise from their previous work at Google, where they co-led the AlphaChip project that accelerated chip layout generation. Both have held leadership roles at Anthropic and Google DeepMind and founded Google’s ML for Systems team. Ricursive launched in late 2025 and quickly raised $335 million at a $4 billion valuation, with notable investors including Nvidia. Their vision is to automate much of chip design, from component placement to verification, making hardware development more efficient and adaptive.

At TechCrunch Disrupt 2026, taking place October 13-15 in San Francisco, Goldie and Mirhoseini are set to present on how AI could begin designing the very hardware that powers it. Their session will explore closing the loop between AI and chip design and the concept of self-improving systems. For founders, researchers, and investors, this talk offers insight into overcoming hardware bottlenecks that currently limit AI advancement and creating a feedback loop where better hardware leads to stronger AI, which in turn enables superior chip designs.

TechCrunch Disrupt 2026 is expected to host over 10,000 attendees, 250+ speakers, and hundreds of startups, providing a platform to connect with innovators shaping the future of technology. Today is the final day to save up to $200 on passes for the event, which promises discussions on cutting-edge topics like AI and hardware integration. Ricursive Intelligence’s founders will share how accelerating hardware design through AI could be a pivotal step toward more efficient and powerful AI systems.