Paul Krugman

Paul Krugman

Newsletter

Economist who writes about AI’s economic returns, inequality, infrastructure costs and risks to society.

AIは世界をどのように変えるでしょうか?

文明規模の変化漸進的な変化DoomBloom
シミュレーション上の位置解釈範囲

横軸:彼が表明したDoom–Bloomの見通し。 縦軸:変革の規模。

Doom–Bloom:100点中31。変革の規模:100点中69。解釈範囲:横方向は25から36、縦方向は47から78。これらは解釈上の座標であり、事象の確率ではありません。

Paul KrugmanのP(doom) · 推定

≈11%

0%100%

本人が示した数値ではなく、シミュレーションされた本人の回答から推定したものです。 妥当と考えられる範囲:5–23%。

彼の見通しを左右するもの

中心的な前提

Extreme inequality and weak labor power make it much more likely that gains will be captured at the top.
回答1

この前提が実際には異なると判明した場合、彼の見通しはどう変わりますか?

未解決の問い

I don’t have a defensible percentage, and attaching one would create a false impression of precision.
回答3

ここで考えられる結果を彼が見分けるうえで、何が役立ちますか?

考えを変え得るもの

The most important event would be clear, sustained evidence that AI is producing broad economy-wide productivity gains—not merely impressive demonstrations, soaring valuations or profits for a few firms.
回答4

どのような証拠なら十分で、それによって彼の見解はどちらの方向に変わりますか?

詳細

予想される恩恵

複数の解釈が依然として妥当です:恩恵は限定的、または狭い範囲にしか行き渡らないと予想されています。 / 大きな恩恵が予想されていますが、重要な条件や分配上の制約があります。

49 / 100

影響が小さい変革をもたらす影響

質的尺度での解釈範囲は33から67です。

予想される害

深刻または広範な害が、予想される将来の実質的な一部となっています。

67 / 100

影響が小さい変革をもたらす影響

質的尺度での解釈範囲は67から67です。

人間の影響力

人間の選択には意味のある影響力がありますが、大幅に制約されています。

53 / 100

影響力が小さい影響力が大きい

質的尺度での解釈範囲は47から78です。

開発ペース

シミュレーション上の位置:より高性能なAIの開発を停止するか、大幅に減速させます。

明示された安全対策の下で開発を継続します。

より高性能なAIの開発を加速させます。

これらの解釈では、彼が示した条件が維持されています。恩恵と害は、どちらも大きくなり得ます。この範囲は、統計的な信頼区間ではなく、彼のシミュレーションされた回答をどのように読み取ったかを示すものです。

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Paul KrugmanがAIについて語ったこと

Krugman separates uncertain economic returns from AI’s growing political, cognitive and safety risks.

  1. “And we should be afraid – very afraid.”

    Essay, One More Reason Americans Hate AI: It Does Nothing for Them
  2. “Will AI transform the economy? The jury is still out on that one”

    Essay, Why Is Trump Still Boosting AI?
  3. “AI is clearly a major technological shock, and it may take years before we fully understand its economic and social impacts.”

    Essay, AI in an Age of Oligarchy
  4. “My concern here isn’t about testing; it’s about learning.”

    Essay, What Will AI Do To Our Minds?
  5. “Indeed, requiring that the AI industry take responsibility for the costs it imposes makes a lot of sense.”

    Essay, AI Is Power-Hungry

リンク先の出典から原文どおりに引用(2026年10月3日に確認)

シミュレーション評価

質問1

AIは私たちの未来にとって何を意味すると思いますか?また、なぜそう思いますか?

I think AI is a major technological shock, but that statement leaves the most important questions unanswered. Useful applications are already obvious—in translation, coding and other forms of knowledge work. Yet technical achievement is not the same as economy-wide productivity, profitable investment or improved human welfare. The promised productivity surge and mass displacement have not clearly appeared so far, although it is still early. And history suggests that transformative technologies can eventually succeed while investors lose fortunes and particular workers, towns and skills are devastated along the way. My growing concern is that AI is arriving in an age of oligarchy. Its immediate benefits are concentrated among a small elite, while data-center costs, higher interest rates and infrastructure burdens reach everyone else. Extreme inequality and weak labor power make it much more likely that gains will be captured at the top. Progressive taxation, antitrust, labor protections and regulation could produce a better outcome, but deregulation is pushing in the opposite direction. There are also harms that ordinary productivity statistics will miss. Outsourcing thought can weaken our ability to learn and judge whether an answer is nonsense. Autonomous hacking, deception, mass surveillance and autonomous weapons are genuinely alarming. Some apocalyptic rhetoric undoubtedly helps sell investments, but that does not make the dangers imaginary. I favor slowing frontier development and regulating firms that will not restrain themselves. So I do not have a neat forecast of paradise or permanent mass unemployment. AI may ultimately deliver broad benefits, but under present political and economic conditions, there is every reason to fear that society will absorb the costs while a narrow group captures the rewards—and that some of the gravest costs will not be economic at all.

質問2

AIは最終的に世界をどの程度変えると思いますか?

Potentially enormously—but I would resist pretending that “enormously” is a precise economic forecast. AI is already a major technological shock, and capabilities such as translation and coding are plainly useful. It may eventually reorganize large parts of work and daily life. Yet we still have little clear evidence of the promised economy-wide productivity boom or mass unemployment. Transformative technologies often take years to produce measurable gains. Nor does large technological change guarantee large social benefit. The internet transformed the world without making every investor rich; the telecom buildout was useful in the long run while producing a spectacular bust. AI investment could follow a similar path, especially if electricity constraints, infrastructure costs and weak returns collide with inflated expectations. The largest effects may also lie outside conventional economic statistics. AI could alter education and reasoning, political trust, surveillance, cyber conflict and warfare. And distribution matters: under conditions of extreme inequality, a revolutionary technology can enrich a narrow elite while destroying particular livelihoods and shifting costs to the public. So my expectation is substantial change, but not a confident prediction of either abundance or permanent joblessness. How beneficial that change becomes will depend heavily on taxation, labor power, antitrust, infrastructure policy and serious safety regulation.

質問3

AIが人類絶滅、または同様に永続的な破局を引き起こす可能性は、直感的にどのくらいだと思いますか?

I don’t have a defensible percentage, and attaching one would create a false impression of precision. But I no longer regard the danger as science-fictional or safely negligible. Autonomous hacking, deception, autonomous weapons and systems operating beyond meaningful human control are alarming enough to justify slowing frontier development and imposing regulation on firms that will not restrain themselves. Some extinction rhetoric doubles as marketing—nothing attracts capital like claiming you are building the most consequential machine in history. Yet cynical incentives do not make the underlying risk imaginary. When the possible loss is permanent and civilization-scale, we should not demand a precise probability before taking precautions.

質問4

どのような発見や出来事があれば、AIが将来もたらす影響についてのあなたの見解が最も大きく変わりますか?

The most important event would be clear, sustained evidence that AI is producing broad economy-wide productivity gains—not merely impressive demonstrations, soaring valuations or profits for a few firms. I would want to see gains spread across industries, wages and living standards, rather than costs being shifted onto workers, ratepayers and the public. In the darker direction, credible evidence that autonomous systems can reliably conduct hacking, deception or weapons operations beyond meaningful human control would sharply increase my concern and strengthen the case for slowing development. Likewise, strong evidence that routine AI use causes lasting damage to learning and judgment would matter greatly. So I would change my view in response to demonstrated social outcomes, not another dazzling benchmark or another trillion dollars of projected investment. The key questions are who benefits, who pays, and whether humans remain capable of understanding and controlling what they have built.

出典

このシミュレーション対象者の根拠として使用された記事、インタビュー、著作です。

One More Reason Americans Hate AI: It Does Nothing for Them

Full authored essay inspected, excluding comments. Takes autonomous hacking and deception seriously and says people should be afraid, while also recognizing financially motivated doom hype. Explains backlash through concentrated benefits, interest rates and few jobs even during an enormous investment boom. Distinguishes projected capital expenditure from completed spending. This is not a settled forecast that AI delivers no future benefits.

paulkrugman.substack.com
Why Is Trump Still Boosting AI?

Full authored essay inspected. Economic transformation remains unresolved: little evidence yet of promised productivity or mass job losses, but early days. Political transformation and backlash already matter. Criticizes opposition to regulation, personal financial interests and reliance on AI investment as political salvation. Notes possible danger to humanity; economic uncertainty is not risk dismissal.

paulkrugman.substack.com
The MAGA Plot(s) to Destroy Humanity

AI section inspected through the transition to climate. Applauds industry leaders acknowledging existential danger and calling for restraint; supports regulatory pacing covering unwilling firms. Worries about autonomous weapons and officials removing precautions. His use of reported incidents and researchers’ warnings shows concern, not a numerical extinction estimate or an independently established technical mechanism. Embedded Amodei and Trump quotations are not Krugman’s words.

paulkrugman.substack.com
AI in an Age of Oligarchy

Public opening inspected; subscriber-only sections not used. Calls AI a major technological shock whose consequences take years to understand. Existing wealth and political inequality magnify harms; progressive taxation, robust regulation and antitrust could contain them, and backlash might challenge oligarchy. This is explicit substantial-change language rather than an incremental-impact commitment.

paulkrugman.substack.com
What Will AI Do To Our Minds?

Public opening inspected; subscriber-only evidence sections not used. Worries that outsourcing answers undermines learning to reason, leaving students unable to detect misleading output. Frames AI as accelerating an older search-and-smartphone trajectory: short-term benefits can coexist with long-term cognitive damage. Says educational harm can be very hard to repair; no quantitative cognitive-loss forecast is supplied.

paulkrugman.substack.com
The Plot Against Intelligence, Human and Artificial

Full authored essay inspected, excluding comments. Reports little personal AI use and an impression that Claude is useful for serious work. Defends restrictions on autonomous weapons and mass surveillance. Criticizes retaliatory procurement restrictions as corruption and harmful to expertise and national security. His legal characterization is his argument, not independent legal verification.

paulkrugman.substack.com
Talking With Paul Kedrosky

Published named transcript inspected at the introduction and exchanges on chips, electricity and investment returns. Krugman admits limited technical understanding, questions whether returns justify investment, points out limits to subscription affordability and asks whether cheaper approaches threaten incumbents. Kedrosky’s chip-failure estimates, token shares and prediction that architectures will not yield AGI are not Krugman’s positions.

paulkrugman.substack.com
Talking AI With Martin Wolf

Named AI discussion inspected. Translation, speech recognition and ordinary code are useful achievements; ultimate economic effects are unsettled. Historical aggregate employment adaptation can coexist with destroyed livelihoods. Offers possible equalization through renewed value for material-world skills, and asks whether capital requirements entrench wealth. Does not endorse Wolf’s computer-president hypothetical or his account of scientific applications. Transcript refers to a June recording context; October is the page’s publication date.

paulkrugman.substack.com
What Happens If AI Hits An Energy Wall?

Full authored essay inspected. Explicitly distinguishes short-term recession risk from long-term technological unemployment. Energy constraints could interrupt the investment boom supporting growth. Telecom history shows that genuinely valuable technology can still produce a disastrous investment bust if returns arrive too late. Environmental burdens and weak enforcement matter alongside financial fragility.

paulkrugman.substack.com
AI Is Power-Hungry

Full authored essay inspected. AI’s apparently immaterial interface hides physical resources and labor. Electricity capacity can constrain growth and ratepayers can subsidize data centers. Favors making the industry bear its costs and exploring efficient focused models, which he says need not end AI progress. Opposition to renewables conflicts with powering the proposed buildout.

paulkrugman.substack.com
How Should We Think About the Economics of AI?

Authored opening and named transcript passages on productivity and valuations inspected. Calls the technology apparently revolutionary while admitting economists’ technical gaps. Recalls desktop computing transforming his own research before gains appeared in aggregate data. Separates impressive technology from investor profits; competing firms cannot all win monopoly positions. Brynjolfsson’s quantitative growth expectations and trillions-of-value forecast are excluded.

paulkrugman.substack.com
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