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[英語インタビュー] パランティアCEOAIが戦場と企業を変える | Alex Karp| アレックス・カープ|日本語字幕 | 英語字幕 |

Length
8 min
Language
English
Text from
the video's captions
Transcribed
13 October 2026

Alex Karp speaks in this

Notes in English.

Summary

Palantir co-founder and CEO Alex Karp discusses how AI and enterprise software support decision-making on the battlefield, using Ukraine as an example, and how the same principles apply to businesses like hospitals. He argues that AI adoption fails when large language models are deployed without an orchestration layer, and that AI will create enough jobs, especially for those with vocational training. He closes by saying AI exposes which organizations and societies can actually bear the load, forcing a painful honesty that political structures often avoid.

Key points

  • Palantir's battlefield software compensates for the fact that half of an enterprise's systems don't actually work outside a lab.
  • Moving a drone in Ukraine requires synchronizing data, protecting sources, and adapting to Russian electronic jamming.
  • Ukrainian soldiers built proprietary tools on top of Palantir's product that even Palantir doesn't understand.
  • Businesses, like hospitals with intake problems, can use the same data-processing frameworks to work 10-15 times faster.
  • AI adoption fails when companies just put a large language model on their stack without a software layer to orchestrate it.
  • Palantir can remove up to 80% of costs in some areas; work that took a year five years ago can now take a week.
  • Karp argues there will be enough jobs for citizens, especially those with vocational training, questioning large-scale immigration.
  • AI 'load bears' — it exposes which organizations and societies can actually bear the load, punishing those that pretend.
  • The person managing Palantir's Maven system in the US Army is a former police officer who went to a junior college and is irreplaceable.

Questions it answers

00:00Introduction

Who is Alex Karp and why is he being interviewed?

The interviewer introduces Alex Karp as co-founder and CEO of Palantir, noting Palantir's 73% compounded return since going public versus his own 21% at BlackRock. Karp has worked with defense and government organizations on applying AI.

  • Palantir's compounded return since going public is 73%.
  • Karp works with defense, government, and private organizations on AI applications.

00:54AI in defense

How is AI supporting decision-making in defense and security?

Karp explains that Palantir's battlefield software makes up for the fact that half of an enterprise doesn't work outside a lab. Using Ukraine, he describes the layered challenges of moving a drone: data synchronization, protecting sources, ethics, and adapting to Russian electronic jamming.

  • Battlefield software must make underlying systems actually work.
  • Ukrainian soldiers built proprietary tools on top of Palantir's product that Palantir doesn't understand.
  • Russian jamming forced a shift to operating without connectivity while collecting data.

02:57Defense tech in business

How does defense technology translate to corporations and society?

Karp says both battlefields and businesses are about acquiring, processing, and framing data to gain a durable advantage. Hospitals, for example, all face intake problems and staff shortages, and the right software can process patients 10-15 times faster.

  • Business advantage comes from sorting information in ways competitors can't easily copy.
  • Hospitals share intake problems but each processes patients differently.

04:23AI adoption barriers

What is the basic hindrance in the adoption of AI?

Karp says adoption accelerates beyond capacity because people try things that can never work, like putting a large language model directly on their stack. Value comes from building a software layer to orchestrate and manage LLMs in a language the enterprise understands, as Palantir does with Anthropic.

  • Bolting an LLM onto your stack doesn't work.
  • An orchestration layer is needed to create enterprise value.
  • Work that took a year five years ago can now take a week.

05:51Jobs and aptitude

Is AI going to create or destroy jobs?

Karp believes there will be more than enough jobs for citizens, especially those with vocational training, and questions large-scale immigration absent specialized skills. He cites a former police officer with a junior college education who manages Palantir's Maven system and is irreplaceable.

  • Traditional aptitude tests miss outlier talents.
  • Karp spends his day identifying people's outlier aptitude and keeping them focused on it.

07:18AI and fairness

Is AI going to create greater imbalance in the world?

Karp says AI 'load bears' — organizations and societies that can bear the load gain a huge advantage, while those pretending to bear it collapse. This forces a painful honesty that political structures, built to obfuscate, struggle to deliver.

  • AI exposes what can and cannot bear the load.
  • Political structures are built to obfuscate, which AI makes harder.

Notes

Overview

Alex Karp, co-founder and CEO of Palantir, is interviewed about how AI supports decision-making in defense and how that translates to corporations and society. The interviewer notes Palantir's compounded return since going public is 73%, versus his own 21% at BlackRock.

AI on the Battlefield

  • Karp says one of Palantir's most important contributions is making up for the fact that half of an enterprise doesn't work on the battlefield — it only works in a lab or on a PowerPoint.
  • Using Ukraine as an example, he explains that moving a drone from A to B requires synchronizing data without transferring it to your adversary, knowing everyone who touched it, and protecting sources — for example, hiding that a general is your asset.
  • When the Russians began jamming electronics, the problem changed to navigating a jammed environment with no connectivity while collecting data.
  • Ukrainian soldiers, small teams of courageous and highly technical people, built proprietary tools on top of Palantir's product that Palantir itself doesn't understand. America's massive force, by contrast, needed integration.

Defense Technology in Business

  • Karp compares the battlefield problem of acquiring, processing, and framing data to what businesses do: sorting information to gain an advantage that can't be easily eviscerated.
  • Hospitals all have intake problems, doctor and nurse shortages, and low margins, but each processes patients differently; the right software can process intake 10-15 times faster.

AI Adoption

  • Adoption accelerates beyond capacity. People try things that can never work, like putting a large language model on their stack and wondering why it fails.
  • Once you build a software layer to orchestrate and manage LLMs in a language your enterprise understands, you create value — similar to what Palantir does with Anthropic.
  • Palantir can take out up to 80% of cost in some areas; work that took a year five years ago can now take a week.

Jobs and Aptitude

  • Karp believes there will be more than enough jobs for citizens, especially those with vocational training, and questions large-scale immigration without specialized skills.
  • The person managing Palantir's Maven system in the US Army is a former police officer who went to a junior college, yet is irreplaceable — traditional aptitude tests would not have exposed this talent.
  • Karp describes his own role as walking around identifying people's outlier aptitude and keeping them focused on it.

AI and Fairness

  • AI 'load bears': organizations and societies that can bear the load gain a huge advantage, while those pretending to bear it collapse.
  • This forces a painful honesty that political structures, built to obfuscate, struggle with.

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[英語インタビュー] パランティアCEOAIが戦場と企業を変える | Alex Karp| アレックス・カープ|日本語字幕 | 英語字幕 | — transcript & summary · Blumify