White House AI "Genesis Plan": How It Will Reshape AI, Energy, and Science

Source: Ask Perplexity; Translated by Golden Finance

On November 24, the White House launched the “Genesis Mission” - an AI version of the “Manhattan Project.”

The U.S. Department of Energy will build a national AI platform based on American supercomputers and federal scientific data to train foundational scientific models and run AI agents and robotics labs to automate experiments in fields such as biotechnology, critical materials, nuclear fission/fusion, space, quantum, and semiconductors.

Let’s take a closer look at what this plan is actually building and how it will reshape the AI, energy, and scientific landscape in the next decade.

1. Its core is the new American Science and Security Platform.

The Department of Energy has been tasked with transforming the national laboratory system into an integrated platform that provides:

• High-performance computing for large-scale model training, simulation, and inference (HPC)
• Basic models covering fields such as physics, materials, biology, energy, and other disciplines
• AI agents for exploring design space, evaluating experiments, and automating workflows (AI Agents)
• Supports AI-guided experimental and manufacturing robots/automation laboratories and production tools

National-level “AI Scientist” and “AI Laboratory Technician” as infrastructure.

2. The goal is very clear and of great strategic significance

The Department of Energy must propose at least 20 “national challenges” within 60 days, covering the following areas:

• Advanced Manufacturing
• Biotechnology
• Key Materials
• Nuclear Fission and Nuclear Fusion
• Quantum Information Science
• Semiconductors and Microelectronics

3. The timeline is tight enough to make an impact.

• 60 days → List the challenge checklist
• 90 days → Complete the full inventory of Genesis's federated computing/network/storage
• 120 days → Initial model + data assets, as well as plans to incorporate more datasets (from other institutions, academia, private sector)
• 240 days → Map of all robotic laboratories and automation facilities of national laboratories
• 270 days → Demonstrate initial operational capability in at least one challenge

Objective: To launch a fully functional scientific artificial intelligence loop within 9 months.

4. A Federal AI Technology Stack Parallel to the Business System

The directive requires the Department of Energy (DOE) and the White House Office of Science:

• Integrate/align the AI projects and datasets of various institutions onto this platform.
• Launch joint funding solicitation and reward program
• Build a partnership framework with external participants (including joint development agreements, user facilities, data/model sharing, and intellectual property rules)

Nvidia, OpenAI, Anthropic, xAI, Google, major cloud service providers, biotechnology and chip companies have now become potential suppliers and co-developers of the Department of Energy's AI systems.

5. Genesis marks a significant shift

So far, cutting-edge artificial intelligence has been mainly dominated by private laboratories. With the launch of the “Genesis” program, the United States is explicitly creating a state-owned AI backbone network serving the fields of science, energy, and security:

• The Department of Energy (DOE) is responsible for coordinating a national “Scientific AI” (AI-for-science) platform.
• National laboratories and supercomputers will become part of a unified AI technology stack.
• Models, agents, and robotics laboratories are regarded as strategic infrastructure, not just tools.

The current question is: who will provide the computing power and models? How will intellectual property (IP) and data be shared? And how quickly will other countries launch their own “Genesis”-style programs?