# MIT、Stanford等联合研究：AI 带来"效率幻觉"，用户高估收益

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-06-14 21:29
- AIHOT 分数：69
- AIHOT 链接：https://aihot.virxact.com/items/cmqdu575d000dslrd1keo3dqo
- 原文链接：https://x.com/rohanpaul_ai/status/2066150916357493180

## AI 摘要

MIT、Stanford、New York Univ、Princeton 联合论文发现，AI 会让用户产生“效率幻觉”——感觉使用 AI 后更高效，但实际提升极小甚至为负。三项预注册研究涉及 2691 名参与者，在算术、拼写、记忆和短文改写任务中，用户实际使用 AI 的比例高于其预测，且平均预期节省 55.7 秒，实测仅 7.5 秒。简单任务的隐藏成本是界面摩擦：写提示、等待、阅读、检查、判断答案是否可接受。这一循环形成后，用户会更倾向再次使用 AI，即使自己完成更快。研究指出，AI 使用会自我强化，导致用户逐渐丧失对“何时自己更快”的判断力。论文链接：arxiv.org/abs/2605.22687。

## 正文

MIT， Stanford， New York Univ， Princeton paper says AI can make people feel more efficient even when they are not actually becoming much more efficient.

that people often use AI for simple tasks because it feels like it saves time and effort， but the measured benefit is often tiny， missing， or even negative.

The biggest point is the feedback loop： once people use AI， they become more likely to use it again， even for easy tasks where doing it themselves would often be just as fast or faster.

i.e. AI dependence can grow from a mistaken feeling of convenience， not just from real productivity gains.

Across three preregistered studies with 2，691 participants， people used AI for basic arithmetic， spelling， recall， and short rewriting at higher rates than they predicted， especially on easy tasks.

They also expected AI to save 55.7 seconds on average， when the measured saving was only 7.5 seconds.

For simple work， the hidden cost is not intelligence but interface friction： writing the prompt， waiting， reading， checking， and deciding whether the answer is acceptable.

Once that loop begins， it can feel like effort has been outsourced， even when effort has only been rearranged.

Here's the key part： the study suggests that AI use can train its own justification.

After using AI on just two tasks， participants became more likely to use it again， even when independent completion was faster.

The danger is not dramatic dependence， but quiet recalibration.

A person who asks AI for a trivial answer today may not become less capable tomorrow， but they may become less accurate at judging when their own mind is already the faster tool.

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Paper Link - arxiv. org/abs/2605.22687

Paper Title： "The efficiency-gain illusion： People underestimate the rate of AI use and overestimate its benefits on simple tasks"