Artificial Intelligence

GSA Looks to Automate a Million Work Hours After Workforce Reduction

GSA looks to automate a million work hours, after losing nearly 40% of its workforce

The General Services Administration (GSA) is embarking on an ambitious initiative to automate a significant portion of its internal operations, following a drastic reduction in its workforce. Under the previous Trump administration, GSA experienced a nearly 40% decrease in its total workforce, prompting the agency to explore innovative solutions to enhance efficiency and effectiveness.

Introduction to the Automation Initiative

At an industry conference, GSA Deputy Director Michael Lynch announced the launch of the “million hours challenge,” which aims to utilize artificial intelligence (AI) through the agency’s internal tool, USAi. This initiative is designed to automate tasks currently performed by federal employees and contractors, allowing them to focus on more high-value opportunities.

Background and Context

The GSA’s workforce reduction has been significant, with nearly 40% of its personnel lost since October 2024. This reduction has raised concerns about the agency’s ability to fulfill its mission effectively. Lynch emphasized the need for efficiency, stating, “GSA, like most parts of the federal government, is reduced in size from where we were at the start of the administration.”

Goals of the Million Hours Challenge

The million hours challenge aims to identify and automate approximately 1 million work hours, equivalent to the annual output of about 500 employees working standard eight-hour workdays. Lynch explained that the initiative focuses on eliminating non-high-value-added tasks, thereby reallocating resources to more impactful areas within the agency.

Key Objectives

  • Automate internal processes to improve efficiency.
  • Reallocate human resources to high-value tasks.
  • Expand the initiative beyond GSA if successful.

Implementation Strategy

The GSA is following an “EOA” playbook, which stands for “eliminate, optimize, and automate.” This structured approach aims to systematically assess and improve the agency’s operations. Lynch noted that a small group of GSA employees is tasked with identifying areas for automation and modernization.

Engagement with Employees

To foster innovation, GSA leadership called upon senior leaders to identify challenges related to automation and technology. Additionally, a call was made to mid-career talent within the agency, inviting them to participate in this initiative as part of a program known as GSA Labs. Approximately 300 employees expressed interest, and the first cohort of about 30 individuals has begun working on internal projects.

Focus Areas for Automation

Initially, GSA leaders identified 17 potential problems for GSA Labs to tackle. However, they narrowed the focus to five key areas that would provide the most significant impact. Lynch stated, “It creates exposure to all aspects of our mission and what GSA does. It’s helping our talent, and I think it’s helping to solve real meaningful problems across the government.”

Challenges Faced by GSA

The GSA is not alone in facing challenges due to workforce reductions. Other federal agencies, such as the Environmental Protection Agency (EPA) and the Internal Revenue Service (IRS), have also announced plans to rebuild capacity through the use of AI. Despite these efforts, the Trump administration proposed further staffing cuts to the IRS, indicating a reliance on technology to maintain service quality.

Impact of Workforce Reductions

According to the Government Accountability Office (GAO), the staffing cuts at GSA’s Public Buildings Service (PBS) have created significant challenges in managing the agency’s real estate portfolio. PBS lost approximately 45% of its employees between September 2024 and November 2025, leading to difficulties in accessing and preparing properties for sale.

The Future of GSA’s Automation Efforts

As GSA continues to implement its automation initiative, the agency remains optimistic about the potential for expansion beyond its own operations. Lynch highlighted the possibility of scaling the project if it proves successful, indicating a broader application of AI across federal agencies.

Potential Outcomes

  • Increased efficiency in government operations.
  • Enhanced capacity for federal agencies to serve the public.
  • Development of a more skilled workforce through engagement in innovative projects.

Conclusion

The GSA’s initiative to automate a million work hours represents a significant step towards modernizing government operations in the face of workforce challenges. By leveraging AI and engaging employees in the process, the agency aims to improve efficiency and effectiveness, ultimately benefiting public service delivery.

Note: This article is based on information available as of October 2023 and may be subject to change as new developments arise.

Disclaimer: A Teams provides news and information for general awareness purposes only. While we strive for accuracy, we do not guarantee the completeness or reliability of any content. Opinions expressed are those of the authors and not necessarily of A Teams. We are not liable for any actions taken based on the information published. Content may be updated or changed without prior notice.