AI Authoritarianism? Federal Workforce Shrinks as Trump Administration Pushes Government Automation

The Rutherford Institute's John and Nisha Whitehead argue in a ZeroHedge op-ed that President Trump's federal workforce reductions—paired with aggressive AI automation—risk creating a government less accountable to constitutional restraints, as machines replace humans who might hesitate, question, or object. Multiple sources confirm substantial workforce shrinkage since Trump's January 2025 return: Pew Research Center reported a 10.3% net drop of nearly 238,000 workers in 2025 alone, driven by separations outpacing hires; other analyses from Reuters, Bloomberg, and the GAO put cumulative losses at 256,000–386,000 by early 2026, reaching the lowest levels in decades.[1][2][3]

The administration has promoted automation via the General Services Administration's Elimination, Optimization and Automation (EOA) handbook and initiative, explicitly guiding agencies to eliminate unnecessary work, optimize processes, and automate repetitive tasks using emerging technologies including AI.[4][5]

In September 2026, Trump signed an executive order launching America.gov, an AI-powered centralized portal (drawing on models like Gemini and Grok) intended as a single gateway for federal services such as passport renewals, Medicare enrollment, and information queries, with plans for expanded transactional capabilities in 2027.[6][7]

Executive Order 14365 (December 2025) establishes a national AI policy framework aimed at U.S. leadership and minimizing regulatory barriers, including efforts to preempt conflicting state laws.[8][9]

The Whiteheads frame these developments as a shift from human bureaucracy to automated systems that could amplify surveillance and control while reducing internal checks. The Rutherford Institute has long critiqued AI-enabled government expansion in its reports on surveillance and civil liberties. While efficiency gains are acknowledged by proponents, the piece highlights risks of diminished human oversight in decision-making and enforcement.