
What happened
The New York Times is testing AI-generated summaries of its own journalism, a small step aimed at improving its internal search tools. The summaries are based solely on the Times' own work.
Why it matters
The Times has long lagged behind other publishing products in search, and employees see this as necessary to catch up. But embracing AI poses risks to accuracy, especially as the paper's political enemies look to discredit it.
What to watch
The move cuts against the Times' positioning as a bulwark against AI-fueled disinformation, raising the question of whether removing humans, even in a small way, undermines the value of its journalism.
Summaries like this, in your inbox every morning.
The New York Times' move to test AI-generated summaries marks a notable shift for a newsroom that has prided itself on human-led journalism. The paper's internal search tools have long lagged its otherwise best-in-class publishing products, making this a practical step to catch up with common features elsewhere. However, for the Times, the stakes are higher than for other media. Its reputation for accuracy, built on layers of fact-checking and editing, could be undermined by AI errors. The risk is amplified by political enemies seeking to discredit the paper, potentially exploiting AI tools to produce embarrassing outputs. This tension is central: embracing AI may help the Times modernize, but it also conflicts with its position as a bulwark against AI-fueled disinformation, raising questions about the value of its journalism in an era where trust is scarce.
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