Musk-backed DOGE project targets federal workforce with AI automation

Elon Musk’s DOGE initiative has sparked controversy with a new AI project targeting federal workforce automation. A former Palantir employee is recruiting technologists to develop AI systems capable of replacing tasks currently performed by up to 70,000 government workers, framing the effort as “freeing” employees for higher-impact work. This recruitment drive illustrates the growing tension between AI automation advocates and those concerned about public sector job displacement, highlighting significant questions about the readiness of AI systems to handle complex government operations.

The big picture: Anthony Jancso, a young entrepreneur and AccelerateX cofounder, is hiring for a project aligned with Musk’s Department of Government Efficiency (DOGE) that aims to deploy AI agents across federal agency workflows.

• Jancso’s recruitment message in a Palantir alumni Slack group claimed they’ve identified over 300 standardized roles that could be automated, potentially affecting at least 70,000 federal employees.
• The project positions this automation as freeing government workers for “higher-impact work,” though critics question whether such opportunities would actually materialize.

Key details: The recruitment effort targets Washington, DC-based technologists to develop benchmarks and deploy AI systems in federal agencies.

• The position requires no security clearance, suggesting the initial work may focus on non-classified government operations.
• The project appears to be “DOGE orthogonal,” indicating it’s aligned with but potentially separate from Musk’s direct DOGE efforts.

Industry reactions: The proposal received significant pushback within the Slack community where it was posted.

• One participant bluntly accused Jancso of being “complicit in firing 70k federal employees and replacing them with shitty autocorrect.”
• Another critic noted that “DOGE does not seem interested in finding ‘higher impact work’ for federal employees,” challenging the framing of the initiative.

Expert assessment: AI specialists have expressed skepticism about the feasibility and wisdom of widespread government AI deployment.

• Oren Etzioni, Vercept cofounder, cautioned that AI outputs remain unreliable for many applications.
• Etzioni emphasized that AI agents cannot simply replace government jobs on a one-to-one basis.
• He suggested that government agencies might not be the appropriate environment for experimenting with cutting-edge AI technology.