The "generative" label on AI is misleading. Its true power for daily knowledge work lies not in creating artifacts, but in its superhuman ability to read, comprehend, and synthesize vast amounts of information—a far more frequent and fundamental task than writing.

According to Ben Smith, the most defensible parts of reporting are gathering new information not yet on the internet and communicating it with human insight. The "production" work in between—synthesis, summarizing, drafting—is highly vulnerable to AI automation, making original sourcing more critical than ever.

AI can handle the 'writing lift,' much like historical rewrite desks. This forces a re-evaluation of a journalist's core value, shifting the emphasis from prose composition to the irreplaceable skills of investigation, sourcing, fact-gathering, and identifying what story matters.

The NYT leverages AI not for writing articles, but for enhancing human-led reporting. Its internal teams build tools to find patterns in massive datasets, like sifting through millions of pages of the Epstein files or analyzing satellite imagery. AI accelerates discovery, allowing journalists to tell new kinds of stories.

The 'generative' AI label is misleading. While its ability to write is powerful, its ability to read, analyze, and synthesize vast amounts of unstructured information is arguably more valuable for day-to-day knowledge work, supporting the critical thinking that precedes artifact creation.

California's CalMatters uses an AI called 'Tip Sheet' to analyze public records of politicians, including speeches, votes, and campaign contributions. The AI flags anomalies and potential stories, which it then provides exclusively to human journalists to investigate, creating a powerful human-AI partnership.

Contrary to traditional journalism where narrow hypotheses are key, AI-driven investigations yield better results from broad, open-ended prompts. This approach inverts the old workflow, allowing the AI to surface unexpected connections from the data rather than merely confirming a reporter's preconceived idea.

The Atlantic's CEO Nick Thompson draws a clear line for AI in journalism. He advocates for using it extensively for reporting tasks like finding stories, analyzing data, or checking for chronological gaps. However, since a byline promises human authorship, AI should never write the final prose, even if it becomes a better writer.

The economic disruption of AI in journalism isn't about incremental cost savings. Its real power is enabling stories that were previously 'straightforwardly infeasible' to produce, regardless of budget. These are investigations that would have required an impossibly large team of specialists, costing tens of millions.