DOGE Put a College Student in Charge of Using AI to Rewrite Regulations
NEWS | 13 May 2025
A young man with no government experience who has yet to even complete his undergraduate degree is working for Elon Musk’s so-called Department of Government Efficiency (DOGE) at the Department of Housing and Urban Development (HUD) and has been tasked with using artificial intelligence to rewrite the agency’s rules and regulations. Christopher Sweet was introduced to HUD employees as being originally from San Francisco and most recently a third-year at the University of Chicago, where he was studying economics and data science, in an email sent to staffers earlier this month. “I'd like to share with you that Chris Sweet has joined the HUD DOGE team with the title of special assistant, although a better title might be ‘Al computer programming quant analyst,’” Scott Langmack, a DOGE staffer and chief operating officer of an AI real estate company, wrote in an email widely shared within the agency and reviewed by WIRED. “With family roots from Brazil, Chris speaks Portuguese fluently. Please join me in welcoming Chris to HUD!” Sweet’s primary role appears to be leading an effort to leverage artificial intelligence to review HUD’s regulations, compare them to the laws on which they are based, and identify areas where rules can be relaxed or removed altogether. (He has also been given read access to HUD's data repository on public housing, known as the Public and Indian Housing Information Center, and its enterprise income verification systems, according to sources within the agency.) Plans for the industrial-scale deregulation of the US government were laid out in detail in the Project 2025 policy document that the Trump administration has effectively used as a playbook during its first 100 days in power. The document, written by a who’s who of far-right figures, many of whom now hold positions of power within the administration, pushes for deregulation in areas like the environment, food and drug enforcement, and diversity, equity, and inclusion policies. One area Sweet is focusing on is regulation related to the Office of Public and Indian Housing (PIH), according to sources who spoke to WIRED on the condition of anonymity as they were not authorized to speak to the press. Sweet—who two sources have been told is the lead on the AI deregulation project for the entire administration—has produced an Excel spreadsheet with around a thousand rows containing areas of policy where the AI tool has flagged that HUD may have “overreached” and suggesting replacement language. Staffers from PIH are, specifically, asked to review the AI’s recommendations and justify their objections to those they don’t agree with. “It all sounds crazy—having AI recommend revisions to regulations,” one HUD source says. “But I appreciated how much they’re using real people to confirm and make changes.” Once the PIH team completes the review, their recommendations will be submitted to the Office of the General Counsel for approval. One HUD source says they were told that the AI model being used for this project is “being refined by our work to be used across the government.” To do this, the source says they were told in a meeting attended by Sweet and Jacob Altik, another known DOGE member who has worked as an attorney at Weil, Gotshal & Mangesthat, the model will crawl through the Code of Federal Regulations (eCFR),
Author: Brian Barrett. David Gilbert. Vittoria Elliott. Emanuel Maiberg. Makena Kelly. Paresh Dave. Leah Feiger. Dell Cameron. Dhruv Mehrotra. Molly Taft.
Source