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The General Services Administration is implementing artificial intelligence to automate repetitive tasks, aiming to save one million hours of workload. Deputy Administrator Michael Lynch highlighted progress toward this goal and new internal programs. The agency also plans to mature its OneGov deals with tech firms for federal savings.
Substrate placeholder — needs reviewThe General Services Administration (GSA) is pursuing an initiative to automate one million hours of workload using artificial intelligence and intelligent automation. This effort, part of the Eliminate, Optimize and Automate (EOA) playbook, focuses on handling repetitive, manual workflows.
The goal is to allow the workforce to redirect time toward serving customer agencies and improving procurement outcomes. Early in 2026, GSA has identified about 400,000 hours for automation, nearly halfway to the target. The automation aims to shift employees from low-value tasks to higher-value opportunities without replacing staff.
This addresses workforce challenges, including headcount losses over the past year.
Innovation Programs GSA launched GSA Labs, a program placing high-performing early-to-mid-career employees into small, cross-functional teams to solve internal problems. The agency received over 300 internal applicants and selected an initial cohort of 30 staff to address five problem statements.
These teams focus on creating interoperable systems and processes, with executive sponsorship. The program is currently internal but could scale in the future. It seeks to develop the workforce, foster innovation, and tackle tough agency issues. GSA solicited problem statements from senior leaders and invited staff to participate alongside their regular duties.
“We have about 400,000 hours that are currently identified of ways that we can — not replace people — but remove that non-high-value added time and replace it by putting people on more high-value opportunities within the agency.”
OneGov program secured more than two dozen discounted deals with tech companies in 2025, saving partner agencies over $1 billion on software. Participating firms include Google Public Sector, Adobe, Salesforce, Elastic, Oracle, Uber, IBM, Docusign, Microsoft, Amazon Web Services, OpenAI, Anthropic, and Box.
Some deals were short-term, and GSA is using feedback to evolve them into longer-term engagements. Over the next six to nine months, announcements are expected on how these deals mature. gov. GSA took a centralized role in federal acquisition and led a process overhaul in 2025.
The agency negotiated these deals to benefit both the federal government and industry partners. Partnerships with firms like Accenture, Capgemini, and PwC aim to integrate OpenAI's Codex, an AI tool for code-related tasks, into corporate operations.
This reflects broader efforts to expand commercial AI use across industries.
headcount reductions, GSA maintained operations in 2025. The agency became a key player in federal AI efforts and acquisition reforms. Lynch noted that the leaner setup has not slowed progress. GSA Labs work could lead to better outcomes and workforce development.
The program positions selected staff as an internal consulting group to solve problems in partnership with leaders. Future directions for the program remain flexible.
“Over the next six to nine months, you’ll see a lot more announcements around how those OneGov deals have matured.”
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