Can AI News Summaries Help Us Read More Deeply?
Harvard Business School research suggests AI-generated news summaries may actually encourage deeper reading. In a large-scale study, readers who saw concise AI summaries were more likely to click through to full articles. The findings challenge concerns that generative AI will diminish news engagement, offering implications for journalism, media organizations, audience engagement and digital communications.
By Michael Blanding, writing for the Harvard Business Review
Critics worry that AI-generated summaries of financial news articles may oversimplify or distort important information for investors, but a recent study suggests the summaries act like a trail of breadcrumbs, leading readers deeper into a story’s more complex points and creating a better foundation for understanding them.
Examining a year’s worth of articles in The Wall Street Journal, Harvard Business School Associate Professor Joseph Pacelli found that articles with AI summaries generated stronger and faster market reactions, suggesting investors processed the information more quickly. A follow-up experiment also showed that summaries improved readers’ understanding of both the information included in summaries and material that appeared only in the articles themselves.
The findings offer a counterpoint to concerns that AI introduces errors and bias—and that the technology encourages people to skim content superficially.
“I went into this thinking AI summaries might not be so useful, leading to cheap, quick reads,” admits Pacelli, the Gerald Schuster Associate Professor of Business Administration. “These articles are helping to grab your attention and inform you, which is great for markets.”
Pacelli coauthored the April working paper “Generative AI and Investor Processing of Financial Media” with Tony Cho and Allen Huang, professors at the Hong Kong University of Science and Technology, and Cornell University Professor Kristina Rennekamp.
Financial summaries boost market efficiency
The Wall Street Journal started attaching AI summaries to some stories in 2024, creating natural conditions for an experiment. The researchers identified 1,734 articles providing financial analyses of 158 companies between July 2024 and June 2025. They then examined an article’s effect on a company’s stock in the 30 minutes after the article appeared online and found that companies featured in articles with AI summaries saw a 3.5% increase in trading volume.
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