DOGE deploys AI to target thousands of federal regulations
The Department of Government Efficiency (DOGE) is reportedly using a new artificial intelligence tool aimed at significantly reducing the number of federal regulations.
According to a report by The Washington Post, a PowerPoint presentation dated 1 July outlines that the DOGE AI Deregulation Decision Tool is designed to analyse approximately 200,000 existing federal regulations.
Its objective: to identify rules no longer required by law and facilitate the removal of half of them by the first anniversary of President Donald Trump’s return to office.
The document suggests that the initiative is already in motion.
According to the presentation, the tool has been deployed to review regulations at the Department of Housing and Urban Development and was responsible for drafting “100% of deregulations” at the Consumer Financial Protection Bureau.
Although the White House has not formally endorsed the full scope of the plan, a spokesperson acknowledged the work underway.
DOGE has built an AI tool to slash federal regulations | TechCrunch https://t.co/AVBhaF6vw6
“No single plan has been approved or greenlit,” they stated, adding that the DOGE team represents “the best and brightest in the business.”
The AI tool is the latest in a line of technologies developed under the DOGE umbrella, a body that was initially led by Elon Musk during the early months of Trump’s current term.
Previous systems attributed to DOGE have drawn scrutiny, including a tool designed to process Veterans Affairs contracts that was found to generate inflated or fictitious figures.
The current effort forms part of a wider push to streamline federal oversight and reshape the role of government in key regulatory sectors.
While critics have raised concerns about transparency and potential overreach, supporters argue that the initiative could lead to increased efficiency and economic agility.
As of now, the administration has not provided a detailed breakdown of which regulations could be eliminated or how AI decisions are being validated.