Paul Krugman

Paul Krugman

Newsletter

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

Como a IA mudará o mundo?

Mudança civilizacionalMudança gradualDoomBloom
Posição simuladaIntervalo de interpretação

Na horizontal: a perspectiva Doom–Bloom expressa por ele. Para cima: escala da transformação.

Doom–Bloom: 31 de 100. Escala da transformação: 69 de 100. Intervalos de interpretação: 25 a 36 na horizontal, 47 a 78 na vertical. Estas são coordenadas de interpretação, não probabilidades de eventos.

P(doom) de Paul Krugman · inferido

≈11%

0%100%

Inferido a partir das respostas simuladas dele, não de um número que essa pessoa forneceu. Intervalo plausível: 5–23%.

Do que a perspectiva dele depende

Uma premissa central

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

Se essa premissa se revelasse diferente, como a perspectiva dele mudaria?

Uma questão não resolvida

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

O que ajudaria essa pessoa a distinguir os resultados plausíveis aqui?

O que poderia mudar essa opinião

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.
Resposta 4

Que evidência seria suficiente e em que direção ela mudaria a visão dele?

Mais detalhes

Benefícios esperados

Várias interpretações continuam plausíveis: Esperam-se ganhos limitados ou distribuídos de forma restrita. / Esperam-se benefícios substanciais, com condições importantes ou limites de distribuição.

49 / 100

Pouco impactoImpacto transformador

Intervalo de interpretação de 33 a 67 na escala qualitativa.

Danos esperados

Danos graves ou generalizados são uma parte relevante do futuro esperado.

67 / 100

Pouco impactoImpacto transformador

Intervalo de interpretação de 67 a 67 na escala qualitativa.

Influência humana

As escolhas humanas têm uma influência significativa, mas substancialmente limitada.

53 / 100

Pouca influênciaForte influência

Intervalo de interpretação de 47 a 78 na escala qualitativa.

Ritmo de desenvolvimento

Posição simulada: Interromper ou desacelerar substancialmente o desenvolvimento de uma IA mais capaz.

Continuar o desenvolvimento sob as salvaguardas declaradas.

Acelerar o desenvolvimento de uma IA mais capaz.

Estas interpretações mantêm as condições que ele declarou. Tanto os benefícios quanto os danos podem ser substanciais. Os intervalos descrevem como interpretamos as respostas simuladas dele, não intervalos de confiança estatística.

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Visões de mundo semelhantes

Líderes de opinião cujas visões de mundo simuladas são mais próximas da visão de Paul Krugman

O que Paul Krugman já disse sobre a IA

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

Citações literais das fontes indicadas, verificadas em 3 de out. de 2026

Avaliação simulada

Pergunta 1

O que você acha que a IA significa para o nosso futuro — e por quê?

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.

Pergunta 2

Quanto você acha que a IA acabará mudando o mundo?

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.

Pergunta 3

Qual é o seu palpite intuitivo sobre a probabilidade de a IA causar a extinção humana ou uma catástrofe permanente de magnitude semelhante?

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.

Pergunta 4

Qual descoberta ou acontecimento mais mudaria sua visão sobre o impacto futuro da IA?

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.

Fontes

Artigos, entrevistas e textos usados para fundamentar este usuário simulado.

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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