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Home Acquisition & Procurement

DOE Issues RFI for Genesis Mission Support, AI Workforce Development

by Miles Jamison
January 20, 2026
in Acquisition & Procurement, Federal Civilian, News
DOE seal. DOE has issued a request for information to support Genesis Mission technical needs and AI workforce development.

DOE has issued a request for information to support Genesis Mission technical needs and AI workforce development.

The Department of Energy has issued a request for information seeking feedback from public and private organizations on addressing technical challenges associated with its Genesis Mission and developing a skilled workforce to support artificial intelligence in science and engineering.

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  • What Is DOE’s Genesis Mission?
  • Why Is Workforce Development a Key Focus?

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DOE Issues RFI for Genesis Mission Support, AI Workforce DevelopmentSecure your spot at the Potomac Officers Club’s 2026 Artificial Intelligence Summit on March 18 to learn how AI is advancing innovation that is reshaping government and military operations.

The RFI invites educational and industrial institutions, philanthropic organizations, think tanks and research institutions to submit responses by March 4, the agency said Friday. 

What Is DOE’s Genesis Mission?

The Genesis Mission is a DOE-led effort to mobilize national laboratories, industry and universities to accelerate scientific discovery and innovation through high-performance computing, AI and quantum computing.

“The Genesis Mission will double the productivity and impact of American science and engineering in a decade and address some of the most challenging problems of this century. It will lead to new industries and highly skilled jobs for our next generation. We are going to prepare them for these opportunities,” said Dario Gil, DOE’s under secretary for science.

Why Is Workforce Development a Key Focus?

DOE said achieving the mission’s objectives will require training approximately 100,000 scientists and engineers over the next 10 years. The agency aims to establish a robust pipeline for AI-enabled science and engineering that spans undergraduate, graduate, doctoral and postdoctoral education, with an emphasis on developing dual competencies in AI and a core scientific or engineering discipline.

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