Two linked developments signal a turning point: AlphaFold’s open database continues to spread across labs worldwide, while academic researchers claim productivity gains tied to AI investment. AlphaFold’s protein‑folding breakthroughs and freely available database — used by millions of researchers — show AI tools moving from novelty to standard research infrastructure. Stanford’s Erik Brynjolfsson and other scholars point to revised macro data that suggest a productivity uptick in 2025, arguing the economy may be entering a ‘harvest phase’ after years of heavy AI investment. The combination of domain‑specific tools (e.g., AlphaFold) and broader productivity measures raises expectations that AI can accelerate discovery and compress research timelines. Research offices, grant managers and CIOs should treat these signals as a prompt to reassess computing procurement, data governance, and training priorities. Open research tools will pressure institutions to provide secure compute, data stewardship and incentives for faculty to integrate foundation models into reproducible pipelines. Note: AlphaFold is a domain‑specific AI system for protein‑structure prediction used broadly in biomedical research.