# DOE Expands Trusted AI Deployment

The U.S. Department of Energy is expanding use of its Joulix generative AI suite and exploring workflow agents, with Deputy CIO Bridget Carper Arnone describing cybersecurity and risk management, trusted data, and then AI/ML as priorities for scaling adoption. DOE has not identified a specific solicitation or contract award. For contractors, the direction signals that proposed AI solutions should be secure by design, involve cybersecurity stakeholders early, and demonstrate mission outcomes; Arnone also said agencies should find resources by reducing low-value work rather than relying on larger budgets.

- Companies pursuing DOE work should connect AI capabilities to measurable results such as reduced administrative burden, faster processes, stronger collaboration, or increased scientific discovery.
- Contractors should be prepared to explain how their solutions address cybersecurity, risk management, and trusted data as foundations for AI adoption.
- DOE’s focus on finding resources through reduced low-value work makes operational efficiency and clear mission value important elements of AI proposals.

**Jurisdictions:** federal
**Industries:** Information Technology
**Topics:** Artificial Intelligence, Cybersecurity
**Published:** October 22, 2026

### Government Entities
- U.S. Department of Energy (DOE)

### Key Quotes
> It’s actually the adoption. Have we reduced administration burden? Have we moved, increased the speed? Have we strengthened collaboration? Is there more scientific discovery?
> — Bridget Carper Arnone, DOE Deputy CIO

### Sources
- [DOE’s Bridget Carper Arnone: Trust Is the Foundation for AI at Scale – MeriTalk](https://www.meritalk.com/articles/does-bridget-carper-arnone-trust-is-the-foundation-for-ai-at-scale) - MeriTalk