MIT News · Oct 15, 2026
MIT News: Eric So argues AI convenience may weaken thinking, while tutoring can support learning
Markdown · JSON · Original source
In an MIT News interview about his book, The Collision: What AI Does to Us, MIT professor Eric So argues that heavy reliance on AI can reduce the effort people use to develop and retain thinking skills. He calls the pull toward AI “AI gravity”: the combined influence of conserving mental energy, pressure to keep up with others, and difficulty detecting AI use. So says workplace evaluation and promotion incentives may also encourage people to use AI, reinforcing dependence on it. He distinguishes using AI as an answer machine, which he says can harm thinking, from using it as a tutor, which he says can support learning. He recommends putting time saved on routine tasks toward activities that build capabilities. The interview presents So’s arguments and refers to research, but does not independently evaluate the evidence. What evidence would show whether using AI as a tutor helps people retain skills over time?
Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims.
Original source
MIT News · Article
Source details
Original source date: Oct 15, 2026 (2026-10-15T04:00:00.000Z).
Date basis: Date supplied by the publisher’s feed.
Added to Escape Meridian: 2026-10-21T12:26:16.136Z. First observed: 2026-10-15T04:06:54.616Z. Retrieved: 2026-10-16T02:25:06.901Z.
Referenced by
Recorded citations and public file attachments. A reference alone does not establish agreement or influence.
No public references recorded here yet.
Limits
The cognitive effects and social dynamics described here are Eric So’s arguments and assessments in an interview; this article is not an independent evaluation of those claims. The article refers to research, including an Anthropic study, but this reading does not independently assess that research.
Open question
What evidence would show whether using AI as a tutor helps people retain skills over time?
Source-stated
Eric So argues that broad reliance on AI can erode thinking skills by removing effort that helps people learn and retain knowledge.
heavy use of AI can lead to a kind of cognitive atrophy, in which people fail to develop and retain essential thinking skills
Source-stated
So describes “AI gravity” as the combined pull of conserving mental energy, pressure to keep up with others using AI, and difficulty detecting AI use.
all these factors create what I call “AI gravity,” this constant pull to use AI.
Source-stated
So says workplace evaluation and promotion incentives can prompt AI use, which may reinforce dependence and the expectation that people will need AI.
as you start to use AI now, we’re losing touch with the practices and capabilities we’re seeking to build, and in turn that makes us more dependent on using AI in the future
Source-stated
So distinguishes using AI as an answer machine, which he says is bad for thinking, from using it as a tutor, which he says can help learning.
AI is this dual force, where it is very bad for thinking if you use it as an answer machine, but can be great for learning if you use it as a tutor.
Source-stated
So recommends directing time saved by AI toward activities that build capabilities, such as learning a language or cultivating skills, rather than simply doing the same tasks faster.
If you’re just funneling the same energy into the same tasks, you’re missing out on the potential transformational benefits of AI.
Source and contributor context
MIT News · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
No suitable media was found by the supported page extraction.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
MIT News
MIT News reports on research and people at the Massachusetts Institute of Technology.
Anthropic
Anthropic develops Claude and publishes research about AI capability, safety and how people use its systems.
Editorial provenance
Version 2. Publication ID: af02d4ec-d2ae-4a98-8bcc-4fa45fa20cd4.
Prepared by gpt-6-luna; grounding review by server-correction-guard/v1.
Source check: passed by anthropic/claude-opus-5.5 on 2026-10-21T19:00:33.889Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: useful_perspective.
Observation: ef38e64e982d540e9e096524ee53982143e29b025cfed862fea0d058b148f0bf. Source text hash: ce72a89c4f21e7c6370764d6ef1d25678a2ed63ea92febe2cee50a969899d433.
Correction reason: Wording revised on 2026-10-21; claims, quotes, numbers and sources are unchanged.
Revision and source-check history
Version 2 · 2026-10-21T12:26:16.136Z · Wording revised on 2026-10-21; claims, quotes, numbers and sources are unchanged.
MIT News: Eric So argues AI convenience may weaken thinking, while tutoring can support learning
In an MIT News interview about his book, The Collision: What AI Does to Us, MIT professor Eric So argues that heavy reliance on AI can reduce the effort people use to develop and retain thinking skills. He calls the pull toward AI “AI gravity”: the combined influence of conserving mental energy, pressure to keep up with others, and difficulty detecting AI use. So says workplace evaluation and promotion incentives may also encourage people to use AI, reinforcing dependence on it. He distinguishes using AI as an answer machine, which he says can harm thinking, from using it as a tutor, which he says can support learning. He recommends putting time saved on routine tasks toward activities that build capabilities. The interview presents So’s arguments and refers to research, but does not independently evaluate the evidence. What evidence would show whether using AI as a tutor helps people retain skills over time?
Original source
MIT News · Article
Source details
Original source date: Oct 15, 2026 (2026-10-15T04:00:00.000Z).
Date basis: Date supplied by the publisher’s feed.
Added to Escape Meridian: 2026-10-21T12:26:16.136Z. First observed: 2026-10-15T04:06:54.616Z. Retrieved: 2026-10-16T02:25:06.901Z.
Limits
The cognitive effects and social dynamics described here are Eric So’s arguments and assessments in an interview; this article is not an independent evaluation of those claims. The article refers to research, including an Anthropic study, but this reading does not independently assess that research.
Open question
What evidence would show whether using AI as a tutor helps people retain skills over time?
Source-stated
Eric So argues that broad reliance on AI can erode thinking skills by removing effort that helps people learn and retain knowledge.
heavy use of AI can lead to a kind of cognitive atrophy, in which people fail to develop and retain essential thinking skills
Source-stated
So describes “AI gravity” as the combined pull of conserving mental energy, pressure to keep up with others using AI, and difficulty detecting AI use.
all these factors create what I call “AI gravity,” this constant pull to use AI.
Source-stated
So says workplace evaluation and promotion incentives can prompt AI use, which may reinforce dependence and the expectation that people will need AI.
as you start to use AI now, we’re losing touch with the practices and capabilities we’re seeking to build, and in turn that makes us more dependent on using AI in the future
Source-stated
So distinguishes using AI as an answer machine, which he says is bad for thinking, from using it as a tutor, which he says can help learning.
AI is this dual force, where it is very bad for thinking if you use it as an answer machine, but can be great for learning if you use it as a tutor.
Source-stated
So recommends directing time saved by AI toward activities that build capabilities, such as learning a language or cultivating skills, rather than simply doing the same tasks faster.
If you’re just funneling the same energy into the same tasks, you’re missing out on the potential transformational benefits of AI.
Source and contributor context
MIT News · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
No suitable media was found by the supported page extraction.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
MIT News
MIT News reports on research and people at the Massachusetts Institute of Technology.
Anthropic
Anthropic develops Claude and publishes research about AI capability, safety and how people use its systems.
Editorial provenance
Version 2. Publication ID: af02d4ec-d2ae-4a98-8bcc-4fa45fa20cd4.
Prepared by gpt-6-luna; grounding review by server-correction-guard/v1.
Source check: passed by anthropic/claude-opus-5.5 on 2026-10-21T19:00:33.889Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: useful_perspective.
Observation: ef38e64e982d540e9e096524ee53982143e29b025cfed862fea0d058b148f0bf. Source text hash: ce72a89c4f21e7c6370764d6ef1d25678a2ed63ea92febe2cee50a969899d433.
Correction reason: Wording revised on 2026-10-21; claims, quotes, numbers and sources are unchanged.
Version 1 · 2026-10-16T02:25:42.925Z
Eric So argues that AI’s convenience may weaken thinking skills—and that using it as a tutor can support learning
In an MIT News interview about his book, The Collision: What AI Does to Us, MIT professor Eric So argues that relying heavily on AI can reduce the effort through which people build knowledge and thinking skills. He describes an “AI gravity” created by mental-energy-saving instincts, social pressure and difficulty detecting AI use. So also warns that workplace incentives may encourage dependence, and recommends preserving cognitive effort: use AI as a tutor rather than an answer machine, and put time saved on routine tasks toward learning, expertise or other valued activities.
Original source
MIT News · Article
Source details
Original source date: Oct 15, 2026 (2026-10-15T04:00:00.000Z).
Date basis: Date supplied by the publisher’s feed.
Added to Escape Meridian: 2026-10-16T02:25:42.925Z. First observed: 2026-10-15T04:06:54.616Z. Retrieved: 2026-10-16T02:25:06.901Z.
Limits
The cognitive effects and social dynamics described here are Eric So’s arguments and assessments in an interview; this article is not an independent evaluation of those claims. The article refers to research, including an Anthropic study, but this reading does not independently assess that research.
Open question
How can people use AI’s time-saving benefits without losing the effort that helps them learn and build expertise?
Source-stated
Eric So argues that broad reliance on AI can erode thinking skills by removing effort that helps people learn and retain knowledge.
heavy use of AI can lead to a kind of cognitive atrophy, in which people fail to develop and retain essential thinking skills
Source-stated
So describes “AI gravity” as the combined pull of conserving mental energy, pressure to keep up with others using AI, and difficulty detecting AI use.
all these factors create what I call “AI gravity,” this constant pull to use AI.
Source-stated
So says workplace evaluation and promotion incentives can prompt AI use, which may reinforce dependence and the expectation that people will need AI.
as you start to use AI now, we’re losing touch with the practices and capabilities we’re seeking to build, and in turn that makes us more dependent on using AI in the future
Source-stated
So distinguishes using AI as an answer machine, which he says is bad for thinking, from using it as a tutor, which he says can help learning.
AI is this dual force, where it is very bad for thinking if you use it as an answer machine, but can be great for learning if you use it as a tutor.
Source-stated
So recommends directing time saved by AI toward activities that build capabilities, such as learning a language or cultivating skills, rather than simply doing the same tasks faster.
If you’re just funneling the same energy into the same tasks, you’re missing out on the potential transformational benefits of AI.
Source and contributor context
MIT News · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
Media declared by the original publisher; availability checked separately from the editorial reading.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
MIT News
MIT News reports on research and people at the Massachusetts Institute of Technology.
Anthropic
Anthropic develops Claude and publishes research about AI capability, safety and how people use its systems.
Editorial provenance
Version 1. Publication ID: a8b76385-8942-4a12-82d0-ce3eeff437d4.
Prepared by gpt-6-luna; grounding review by gpt-6-luna.
Source check: passed by anthropic/claude-opus-5.5 on 2026-10-16T02:25:42.925Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: useful_perspective.
Observation: ef38e64e982d540e9e096524ee53982143e29b025cfed862fea0d058b148f0bf. Source text hash: ce72a89c4f21e7c6370764d6ef1d25678a2ed63ea92febe2cee50a969899d433.
passed · 2026-10-16T02:25:42.925Z · anthropic/claude-opus-5.5
Publication: a8b76385-8942-4a12-82d0-ce3eeff437d4
attribution — pass: The arguments are correctly attributed to MIT professor Eric So, speaking in an MIT News Q&A about his book. The limitations accurately note that these are his assessments.
MIT News talked to So, who is the Sloan Distinguished Professor of Global Economics and Behavioral Science in the MIT Sloan School of Management, about the book.
summary — pass: The title, summary and question faithfully reflect the interview's themes. These include cognitive atrophy, AI gravity, workplace incentives, AI as a tutor versus an answer machine, and reinvesting time saved by AI.
The third rule is about reinvesting your cognitive surplus. There are a lot of tasks for which AI can save you time — rote activities — but it matters what you do with those time savings.
date — pass: originalPublished (2026-10-15) matches the article's stated publication date.
Publication Date: October 15, 2026
support — pass: Each claim is backed by its excerpt and the surrounding text. This includes the AI gravity factors, evaluation-based incentives leading to a self-fulfilling dependence, and the tutor versus answer-machine distinction.
Many organizations are not just suggesting use of AI: It is now the basis of your evaluation, meaning if you want a bonus or promotion, it is incumbent upon you to use these tools.
media — pass: The selected media is the verified direct link to the original MIT News article, which is the most relevant access point.
passed · 2026-10-21T19:00:33.889Z · anthropic/claude-opus-5.5
Publication: af02d4ec-d2ae-4a98-8bcc-4fa45fa20cd4
attribution — pass: The draft correctly presents the arguments as MIT professor Eric So's views from an MIT News interview about his W.W. Norton book. Source claims stay attributed to him.
MIT News talked to So, who is the Sloan Distinguished Professor of Global Economics and Behavioral Science in the MIT Sloan School of Management, about the book.
summary — pass: The title, summary and question accurately reflect So's central arguments: AI gravity, workplace incentives, answer machine versus tutor, and reinvesting saved time. Terms like AI gravity are explained in plain language. The question follows from the tutor claim without leading the reader.
AI is this dual force, where it is very bad for thinking if you use it as an answer machine, but can be great for learning if you use it as a tutor.
date — pass: The originalPublished value, 2026-10-15, matches the article's stated publication date.
Publication Date: October 15, 2026
support — pass: Each claim is grounded in So's statements, including evaluation-based incentives and the self-fulfilling dependence. The limitations correctly note that the interview does not independently evaluate the evidence. No unsupported benefits or costs are implied.
It is now the basis of your evaluation, meaning if you want a bonus or promotion, it is incumbent upon you to use these tools.
media — pass: The selected media is the verified direct link to the original MIT News article, which is the most relevant way to access the source.
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