DOGE mass layoffs cut over 100,000 U.S. federal jobs
The Trump administration's DOGE, led by Elon Musk, has terminated over 30,000 federal workers and offered buyout packages to approximately 75,000 others since January 2025, totaling over 100,000 departures. Musk has deployed an AI system to optimize federal performance assessments and track employee work hours, triggering employee resistance and legal challenges while creating operational chaos across government agencies.
What happened
Since late January 2025, DOGE led by Elon Musk has terminated over 30,000 federal workers and offered approximately 75,000 federal employees buyout packages, totaling over 100,000 federal employees departing their positions, representing 4.5% of the total federal workforce.
DOGE deployed an AI system (GSAi) to input, analyze and categorize federal employee data to optimize performance assessments. Musk also initiated policies requiring employees to wear electronic watches to track work hours, and ordered weekly work logs, triggering employee resistance and complaints from cabinet members about overreach.
Reported impact
Laid-off federal workers face financial crises and unemployment while seeking new employment amid broader private sector AI-driven job reductions. Federal employee job stability has been severely impacted, with workers now facing ongoing termination risks and reduced confidence in income continuity.
The chaos created has affected government operations on an hourly basis across the U.S. capital, with contradictory orders such as requiring employees to return to offices while simultaneously freezing work and barring building access, followed by sudden unwarned recalls with threats of termination for delayed reporting.
Index analysis
According to Washington Post reporting, Musk's ultimate goal is to replace human workforce with machines as part of a broader campaign to shrink the state, control data flows, and automate hundreds to thousands of public functions with minimal oversight.
The GSAi system and performance tracking mechanisms represent an effort to employ AI to manage, evaluate and reduce federal employment while replacing human decision-making with algorithmic assessment.
Governance controls
Resistance has emerged from federal courts, federal employee unions, and Congress. However, the Trump administration broadly supports the campaign and deems it vital for implementation of subsequent phases.
The chaotic implementation has created legal and procedural challenges, as staff face contradictory directives without clear reporting lines, complicating the intended downsizing and potentially requiring re-expenditure of savings gained.
Classification
Sources and evidence
This record was researched and written by the Index, based on the following original reporting.