Ricursive Intelligence bets on AI-designed chips to ease the compute crisis
chips google startup
| Source: TechCrunch | Original article
Ricursive Intelligence is developing AI that designs chips, learns from each iteration, and speeds up chip design to address the compute crisis.
Ricursive Intelligence, the Google‑Brain spin‑out founded in September 2025, used its slot at TechCrunch Disrupt 2026 to lay out a bold new approach to the industry’s “compute crisis.” Co‑founders Anna Goldie and Azalia Mirhoseini explained that the startup is training an artificial‑intelligence system to design silicon chips, then let that system learn from each iteration and automatically improve subsequent layouts. The goal, they said, is to replace the traditionally manual, slow and expensive chip‑design workflow with a fully automated loop that can generate ever‑more efficient hardware.
The announcement matters because modern AI models are increasingly limited by the availability of purpose‑built compute. While GPUs have kept pace with demand, the next wave of inference and training workloads will require chips that are both higher‑performing and lower‑power. By accelerating design cycles and cutting engineering costs, Ricursive’s AI‑driven methodology could help shrink the gap between AI ambitions and the silicon needed to realise them, a concern echoed across the sector in recent leadership moves at OpenAI and Google.
What to watch next includes the first silicon prototypes emerging from Ricursive’s AI pipeline, potential collaborations with established foundries, and any early performance benchmarks that demonstrate tangible gains over conventional design cycles. Industry observers will also be keen to see whether the approach scales to the larger, more complex chips demanded by data‑centre AI workloads, and how quickly other players might adopt similar AI‑first design tools.
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