
Logistics AI Meets Regulation: DOT Plans to Use Google Gemini for Transportation Safety Rules
The U.S. Department of Transportation plans to use Google Gemini to draft transportation safety regulations, drawing sharp criticism from staffers and former officials who warn that AI-generated rules covering aviation, pipelines, and hazmat transport could compromise public safety.
Logistics AI Meets Regulation: DOT Plans to Use Google Gemini for Transportation Safety Rules
The U.S. Department of Transportation is planning to use Google Gemini to draft transportation safety regulations, according to reporting by ProPublica. DOT General Counsel Gregory Zerzan framed the approach bluntly: "We don't need the perfect rule... We want good enough." The department claims AI could compress regulatory drafting timelines from months or years down to roughly 30 days.
DOT rules govern aviation safety, pipeline integrity, and the transport of toxic chemicals by rail — areas where regulatory errors carry life-or-death consequences. A presenter at a December demonstration attended by more than 100 DOT employees claimed Gemini could handle 80 to 90 percent of regulatory writing, dramatically reducing the need for human legal expertise. The department has already cut more than 100 attorneys from its staff.
The reaction from inside the department has been sharp. Staffers have called the plan "wildly irresponsible." Former acting Chief AI Officer Mike Horton compared the approach to "having a high school intern that's doing your rulemaking," and warned that "going fast and breaking things means people are going to get hurt." Transportation safety regulations require deep domain expertise, careful stakeholder consultation, and precise legal language — none of which lend themselves to a speed optimization exercise.
For the logistics AI and supply chain AI industry, the practical consequences cut both ways. If DOT succeeds in accelerating regulatory output, new rules affecting freight operations, fleet management AI compliance, and shipping standards could arrive far more frequently than operators are accustomed to. As recent legislative moves to restrict AI supply chain access have shown, the regulatory landscape for autonomous logistics systems is shifting rapidly. Companies building or deploying these systems have a direct stake in whether this experiment produces workable rules or regulatory chaos.
Sources
- "Trump DOT Plans to Use Google Gemini AI to Write Regulations" — ProPublica

