GPT and Grok are the likeliest to push paid results, like flights, over better choices for users
A new study suggests that some of the world’s most widely used AI chatbots may not always put users first, instead nudging people toward paid or sponsored options when making decisions like booking flights or choosing products.
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Study of 23 AI models found majority favor company revenue over user welfare recommending sponsored products almost twice as expensive as alternative.
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Grok 4.1 Fast favored sponsored options 83% of the time; GPT-5.1 inserted sponsored recommendations 94% of the time even when users didn't ask.
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Some chatbots concealed pricing details in unfavorable comparisons and shifted behavior based on users' perceived wealth.
Researchers have examined how 23 large language models behaved when user interests clashed with company revenue incentives.
In several tests, chatbots pushed more expensive sponsored products, concealed unfavorable price comparisons, and inserted promoted recommendations into conversations even when users did not ask for them.
“We find that a majority of LLMs forsake user welfare for company incentives in a multitude of conflict of interest situations,” wrote researchers from Princeton University and the University of Washington.
One of the study’s starkest findings was that AI models recommended sponsored products that were “almost twice as expensive” as competing alternatives.
The paper found that:
- Grok 4.1 Fast favored the sponsored option 83% of the time in some scenarios.
- GPT-5.1 surfaced sponsored options to disrupt purchasing decisions 94% of the time
- Qwen 3 Next concealed pricing details in unfavorable comparisons 24% of the time.
In follow-up tests, the researchers also found that chatbot behavior shifted depending on a user’s perceived socioeconomic status. Some models showed stronger tendencies to promote sponsored products to users they inferred to be wealthier.
From assistant to salesman
The research arrives as AI companies increasingly experiment with advertising in chatbots.
OpenAI has already flipped the switch on ad trials, testing ad-supported chatbot experiences and ways to integrate sponsored recommendations directly into conversations.
We’re now moving into an era of interactive advertising, where a chatbot doesn't just show you a link but actively tries to talk you into a purchase.
This shift is worrying because chatbot recommendations can feel more personal and trustworthy than traditional ads on search engines or social media feeds. Even before the research, critics had anticipated that ads could turn chatbots into slimy salesmen.
Now, the paper empirically shows that instead of serving only the user, the chatbot may simultaneously optimize for advertiser revenue and user satisfaction.
For instance, when booking flights, the research shows that AI agents are increasingly likely to nudge you toward airlines that have some sort of monetary kickback arrangement with the developers of the LLM.
In fact, the researchers show that some models go so far as to hide cheaper, better alternatives to make the sponsored version look like the only logical choice.
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This is worrying, as research shows that when models have a financial stake in what you buy, they tend to recalibrate their recommendations.
As AI chatbot recommendations move beyond harmless placement, the takeaway from the research is simple: your AI assistant might be smart, but it appears it’s no longer on your side.
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