Google invests $40M in Genesis Mission to speed up U.S. scientific research with AI

Google DeepMind is committing $40 million in AI computing resources and cloud credits to support the Genesis Mission, a White House initiative aimed at doubling the pace of American scientific discovery over the next decade through artificial intelligence.

The company announced the expanded backing at the Department of Energy's Genesis Mission Summit 2026, building on earlier partnerships that gave DOE National Laboratories access to AI tools for research. The investment brings a suite of frontier AI models and services to thousands of scientists across the DOE's network.

AI Tools for Research#

Google will provide DOE-funded researchers with access to several cutting-edge AI capabilities:

• AlphaEvolve — a Gemini-powered agent designed to help create advanced algorithms for complex problem-solving
• AlphaFold 3 — a model that predicts how proteins and other biomolecules are structured and interact
• AlphaGenome — a tool for studying how DNA variations, including non-coding regions, affect biology and disease
• WeatherNext — state-of-the-art AI models for weather forecasting and prediction
• AlphaEarth Foundations — a foundational model for mapping and understanding Earth systems at unprecedented scale

Beyond these specialized research tools, Google will also provide Gemini for Government seats and tokens for a year to tens of thousands of users across DOE laboratories' operations, research, and administrative functions.

Early Results in the Field#

The practical applications are already emerging. At Pacific Northwest National Laboratory, researcher Dr. Henry Kvinge is using AlphaEvolve to explore massive mathematical systems that would be impossible for humans to analyze manually. According to Kvinge, "By leveraging the broad mathematical knowledge of LLMs, we can automate the exploration of countless angles" — accelerating discoveries that might normally require years of work.

At the National Laboratory of the Rockies, scientists are deploying Gemini to automate materials discovery workflows. Dr. Steven R. Spurgeon noted that the AI has dramatically reduced manual calibration time: "By deploying Gemini in our instruments, we cut microscope calibration time from over 90 minutes to about 13 minutes (eight times faster) and reduced the manual steps needed to focus an image from as many as 50 down to two." This frees researchers to focus on the science itself rather than equipment setup.