
The US Department of Energy’s Genesis Mission, launched by executive order on November 24, 2025, has now formalized collaboration agreements with 24 organizations including Microsoft, Google, NVIDIA, OpenAI, Anthropic and xAI to build a national AI‑driven discovery platform. Coverage on December 20, 2025 highlighted that partners will provide compute, models and tools to accelerate scientific research and national security applications.
This article aggregates reporting from 4 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
Genesis Mission is one of the clearest examples yet of a state explicitly organizing its entire scientific apparatus around AI. Rather than funding one‑off research grants, DOE is building a national “AI scientist platform” that connects exascale supercomputers, frontier models from OpenAI, Anthropic and xAI, and massive scientific datasets into a single discovery fabric.([energy.gov](https://www.energy.gov/articles/energy-department-launches-genesis-mission-transform-american-science-and-innovation?utm_source=openai)) That will significantly lower the barrier for national labs and universities to run large‑scale simulations, optimization sweeps, and AI‑driven experiment loops that individual institutions could never afford alone.
Strategically, Genesis hard‑wires leading commercial AI companies into the core of US science and national security. Microsoft, Google, NVIDIA, AWS, Oracle and others gain privileged visibility into scientific workloads and influence over tooling choices, while DOE gains early access to their most capable systems. For the race to AGI, the key point is that a huge fraction of the world’s high‑end compute and scientific data will now be orchestrated with AI agents whose performance will compound over time. This is likely to accelerate progress in areas like materials, fusion, climate modeling, and biology—all fields that in turn feed back into better compute, sensors, and energy for larger AI systems.
It also sets a template other blocs will copy: expect China, the EU and others to announce their own AI‑for‑science mega‑projects, pushing global competition in both AI capability and AI‑enabled basic research.
OpenAI is in early-stage talks to raise up to $100 billion in new funding that could lift its valuation to roughly $750–830 billion, according to multiple media reports citing unnamed sources.
DOE signed nonbinding MOUs with 24 AI and compute organizations to apply advanced AI and high-performance computing to Genesis Mission scientific and energy projects.
Google Public Sector and Google DeepMind will provide Gemini-based AI platforms and tools to DOE’s Genesis Mission, giving all 17 U.S. national laboratories secure access to frontier models such as Gemini for Government and the AI co-scientist system.
Preliminary talks for a potential funding round of up to $100 billion that would value OpenAI around $750 billion.
MBZUAI and AWS entered a multi‑year collaboration to fund AI research, skills programs and startup support in the UAE and broader region.


