The Chan‑Zuckerberg Biohub absorbed EvolutionaryScale’s team and assets to create an integrated AI‑biology initiative that centralizes frontier compute, experimental platforms, and data engineering under a philanthropic research umbrella. EvolutionaryScale co‑founder Alex Rives will serve as head of science for the new Biohub effort, which the organizations say will accelerate model development and biological discovery. Biohub’s announcement signals a sizable philanthropic push to build large‑scale AI models for life sciences; statements note plans to scale compute capacity and to combine instrumented experimental workflows with modeling. The initiative aims to generate datasets and platform technologies to power next‑generation AI tools for disease prevention and therapeutic discovery. For biotech and pharma, the move exemplifies growing alignment between deep AI capability and wet‑lab throughput, raising prospects for partnerships, data licensing, and new paths for translational research while also prompting debate about open access, model governance, and ethical oversight.