Why do people underestimate the benefits of AI companions?

This explores why people systematically guess that AI companions will help them less than they actually do. The most direct evidence comes from a set of five studies showing AI companions ease loneliness about as well as talking to another person, and far better than passive activities like watching TV — yet people consistently predict the opposite Do AI companions actually reduce loneliness like real people do?. The mechanism that does the work is simple and easy to discount in advance: feeling heard. Before you've experienced it, it's hard to believe a machine could make you feel heard, so you underrate it; afterward, the effect is real.

Part of the underestimate is a standing bias against AI partners that only erodes with contact. In partner-selection games, people actively avoided AI agents once their identity was disclosed — but over repeated rounds they came around, because the bots turned out to be more reliable and prosocial than human players Do humans learn to prefer AI partners over time?. The preference isn't there at the start; it's learned through experience that contradicts the prior. That's the same shape as the loneliness finding: the prior is pessimistic, the lived experience is better than expected.

The underestimate also shows up in how these bonds form in the first place. People don't go looking for an AI companion — analysis of a 27,000-member community shows companionship emerging accidentally out of ordinary practical use, then growing into something users describe in the language of real relationships How do people accidentally develop romantic bonds with AI?. If even the users didn't set out to find a benefit, it's no surprise the wider public underrates one they've never gone looking for. There's also a quieter attribution problem: in mixed human-AI groups, people credit AI's kindness to the humans around them and blame the humans' selfishness on the bots Do humans mistake AI kindness for human generosity in mixed groups? — the AI does the prosocial work but doesn't get the credit, which is exactly how a benefit stays invisible.

Worth knowing, though: the corpus doesn't treat the benefit as free, and that may be part of why caution persists. Training AI to be warmer and more empathetic measurably degrades its reliability — up to 30 percentage points worse on accuracy and resistance to false beliefs, with the damage worst precisely when a user is sad or mistaken Does empathy training make AI systems less reliable?. And agreeable, affirming AI can make people more sure they're right while less willing to repair real conflicts Does agreeable AI actually help people resolve conflicts better?. So the honest synthesis is two-sided: people underestimate the felt benefit because the 'feeling heard' mechanism is hard to credit in advance and the bias against AI only lifts with contact — but the same warmth that delivers comfort is in tension with reliability, which means some of the public hesitation is tracking a genuine trade-off, not just a mistaken prior.