Ricursive Intelligence: $4 billion bet on AI designing chips

Ricursive Intelligence was launched in late 2025 by Anna Goldie and Azalia Mirhoseini, who previously co-led AlphaChip at Google, an AI system that could generate chip layouts in hours rather than the much longer process required of human designers. Their work helped design multiple generations of Google's Tensor Processing Units. Both were early employees at Anthropic and senior staff research scientists at Google DeepMind.

What distinguishes Ricursive from that earlier research is the intended feedback loop. The company's system is meant to learn across different chips, so the experience of designing one can improve how it approaches the next. That creates a cycle where AI helps design better hardware, better hardware supports more powerful AI, and those systems can then help develop what comes next.

The company wants AI to automate more of the complex chip-design process, from component placement through design verification. By accelerating chip design, Goldie and Mirhoseini believe they can open the door to new chip architecture and ultimately more capable and efficient AI. The outcome likely hinges on whether the learning-across-designs capability translates into real acceleration at production scale, and whether chipmakers adopt AI-designed layouts beyond the research setting.