A recruiter for the Department of Government Efficiency (DOGE) is staffing a specialized venture to deploy autonomous AI agents across the United States government, aiming to automate tasks currently performed by 70,000 federal employees. Jancso, a former Palantir staffer, detailed the “DOGE orthogonal” initiative in a private forum for Palantir alumni, describing a strategic push to standardize over 300 government roles. The project seeks to integrate AI agents—software capable of executing workflows without human intervention—into live federal operations over the coming year.
Disrupting the Federal Workforce with Autonomous Agents
The recruitment effort centers on identifying “full-process standardization” within federal agencies. According to Jancso’s communications, the initiative has already pinpointed 300 roles where AI could assume responsibilities, effectively displacing tens of thousands of full-time equivalents (FTEs). While Jancso frames this as “freeing up” staff for higher-impact work, the proposal explicitly targets the automation of core functions. The project requires personnel to be based on-site in Washington, D.C., though it notably does not require security clearances, leaving the specific employer of record ambiguous.
Backlash Within the Tech Community
The proposal met significant resistance from the tech-heavy Slack community where it was first posted. Responses ranged from “clown” emojis to accusations of “complicity” in the mass termination of federal workers. Critics within the forum dismissed the technology as “shitty autocorrect,” arguing that DOGE’s mission appears more focused on workforce reduction than genuine operational improvement. Some members also raised concerns regarding the potential for foreign influence or “Kremlin oversight,” reflecting broader anxieties about the rapid, unvetted deployment of AI in national infrastructure.
AccelerateX: From Silicon Valley to Federal Overhaul
The entity behind this push, AccelerateX, originally surfaced as AccelerateSF. In its early stages, the organization focused on using large language models to solve San Francisco’s municipal challenges, such as streamlining construction permits. While the company previously claimed support from industry giants like OpenAI and Anthropic, the latter clarified that it only provided API access during a 2023 hackathon rather than direct investment. By 2024, the venture rebranded as AccelerateX, pivoting its mission toward replacing what it describes as “outdated tech” and “legacy vendors” within the federal government.
Strategic Partnerships and Palantir Ties
AccelerateX’s leadership maintains deep ties to the current administration’s efficiency architects. Co-founder Jordan Wick, a former Waymo engineer, has actively participated in DOGE operations at agencies including the Department of Labor and the Department of Education. Furthermore, Jancso disclosed a 2024 partnership agreement with Palantir, the data analytics firm co-founded by Peter Thiel. Palantir already holds multi-billion dollar contracts with the Department of Defense and ICE, and is reportedly assisting in the creation of a “mega API” to link IRS data with other federal systems.
Technical Feasibility and Expert Skepticism
Despite the ambitious goal of replacing 70,000 employees, AI specialists warn that the technology may not be ready for such a massive scale. Experts note that federal agencies operate under highly localized rules and regulations that vary significantly, making universal AI deployment difficult. Oren Etzioni, co-founder of Vercept, highlights that while AI agents excel at research or browsing, they remain unreliable and prone to “hallucinating” policies—a dangerous trait for government functions.
Industry analysts argue that AI is currently a tool for efficiency rather than a one-to-one replacement for human staff. Etzioni characterized the claim that 70,000 jobs could be fully automated as “funny math,” suggesting that while AI can streamline specific tasks, it cannot yet replicate the nuanced oversight required for reliable governance. As DOGE continues to push for AI integration—including the “GSAi” chatbot and the “AutoRIF” tool for firing processes—the tension between technological experimentation and bureaucratic stability remains a central conflict in the new administration’s agenda.
