# 效率增益错觉：人们低估AI使用率并高估其在简单任务上的收益

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-06-01 05:25
- AIHOT 分数：45
- AIHOT 链接：https://aihot.virxact.com/items/cmpubh8ey02bpslagt2kpf65o
- 原文链接：https://x.com/rohanpaul_ai/status/2061197399482310724

## AI 摘要

MIT、斯坦福等高校联合研究发现，人们普遍存在“效率增益错觉”，即高估AI在简单任务（如算术、拼写）上带来的效率提升。在包含2691名参与者的三项研究中，人们实际使用AI完成这些简单任务的频率高于其自我预期。参与者预期AI平均能节省55.7秒，但实测仅节省了7.5秒。研究指出，使用AI存在界面摩擦（如编写提示词、等待、核对）等隐形成本，并会引发“自我证成”循环：一旦开始使用，即使独立完成更快，人们也可能因惯性而继续依赖AI，从而悄然低估自身的独立判断力。

## 正文

New paper from MIT， Stanford， New York Univ， Princeton.

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"