AI‑generated content credibility concerns

In late July 2026 Substack’s co‑founder and CEO Chris Best warned that a flood of AI‑written material is becoming “AI slop”—content that lacks authorial commitment and erodes trust in the public discourse. He noted that 40 % of long‑form posts on LinkedIn are now fully AI‑generated, describing the phenomenon as a denial‑of‑service attack on the public square because readers struggle to discern authentic information.

A day later a commentary piece expanded the debate, arguing that while AI can polish language in applications, reports, and official communications, it also risks concealing weak reasoning behind refined prose. The author called for organisations, especially public agencies, to retain responsibility for the substance of AI‑produced text, urging clearer accountability mechanisms, routine quality checks, and internal procedures that separate linguistic polish from factual accuracy.

Together the snapshots illustrate a growing consensus that unchecked AI‑generated content threatens credibility and that solutions will require both technical improvements and stronger governance to ensure transparency and accountability.