The Federal Trade Commission removed three posts from the Lina Khan era that addressed open-weight foundation models, consumer concerns about AI, and risks including surveillance, fraud, impersonation, and illegal discrimination. TechCrunch reported that the agency had given no reason for these removals. Khan declined to comment. The action followed an earlier purge of roughly 300 FTC posts concerning AI, consumer protection, and cases against technology companies. President Trump had replaced Khan with Andrew Ferguson, whose leadership favored deregulation and had published nothing on the agency technology blog by October.

A public agency website is part of the evidence through which citizens can reconstruct changes in policy. A new administration can reject its predecessor by attaching a notice, publishing a rebuttal, or replacing guidance while leaving dated material available. Deletion makes the disagreement harder to see and turns a searchable institutional record into a display controlled by the current officeholder. That choice is especially sharp for AI policy, where consumer complaints, enforcement positions, and technical vocabulary change faster than statutes. TechCrunch noted that removing such material could conflict with federal record-preservation and open-data duties, while the previous FTC leadership had placed warning labels on inherited pages it disputed. The practical difference sits inside the archive. One method adds a dated notice to an existing page. The other leaves a dead link where a warning about fraud or discrimination used to be.