AI-Assisted Journalist Writes 600+ Articles in Six Months, Raises Accuracy Concerns
What Happened
Fortune journalist Nick Lichtenberg has published over 600 AI-assisted articles in six months — more than most colleagues produce in a year — accounting for nearly 20% of Fortune's web traffic in late 2025. He uses Perplexity and NotebookLM to generate drafts, sometimes producing seven articles in a single day. Meanwhile, a BBC/EBU study found almost half of AI-generated news responses contained at least one significant issue, and the New York Times issued corrections after an AI-assisted book review plagiarized The Guardian.
My Take
This is the journalism version of vibe coding, and the failure modes are identical. One person producing 600 articles is not journalism. It is content generation wearing journalism's clothes. The 20% traffic number is the tell — management sees output and reach, not accuracy or depth. Sound familiar? It should. This is the same dynamic playing out in every AI-assisted workflow: the metrics that are easy to measure (volume, speed, throughput) go up. The metrics that matter (correctness, nuance, trust) get harder to track. For anyone using AI to produce work product — code, analysis, reports, designs — the lesson is the same. Working software is not the same thing as understood software. A published article is not the same thing as a reported one. The speed is real. The judgment gap is also real. And the people who close that gap will define what professional quality means in the AI era.
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