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Travis Kalanick Is Back | Building the Future of Industrial AI

Technology

United States

July 23, 2026に開始

Travis Kalanick, Ben Horowitz, and Erik Torenberg reunite to reflect on Uber's early days, the investment that almost happened, and why Kalanick believes the next great technology opportunity lies beyond software. They discuss the lessons of building Uber, the value of founder-led companies, and why Kalanick spent nearly eight years quietly building Atoms before stepping back into the spotlight. The conversation explores industrial AI, robotics, autonomy, mining, food production, and Kalanick...

ソース記事

Travis Kalanick Is Back | Building the Future of Industrial AI

Acquired Podcast (United States) | Jul 22, 2026

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CLAIM 投稿者： admin • Jul 23, 2026

Kalanick's focus on industrial AI distracts from pressing societal issues created by rapid tech advancements.

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CLAIM 投稿者： admin • Jul 23, 2026

The hype surrounding industrial AI risks overvaluation and could lead to another tech bubble.

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CLAIM 投稿者： admin • Jul 23, 2026

Kalanick's experience with rapid growth at Uber offers valuable insights for scaling industrial AI companies.

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CLAIM 投稿者： admin • Jul 23, 2026

Public engagement is essential to ensure that the development of industrial AI aligns with societal values.

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CLAIM 投稿者： admin • Jul 23, 2026

Industrial AI will revolutionize traditional industries, making them more efficient and sustainable.

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CLAIM 投稿者： admin • Jul 23, 2026

The lessons learned from Uber's early days are crucial for the success of future technology ventures.

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CLAIM 投稿者： admin • Jul 23, 2026

Kalanick's past controversies should not overshadow his potential contributions to the field of industrial AI.

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CLAIM 投稿者： admin • Jul 23, 2026

Investing in industrial AI should be prioritized over software solutions to meet future technological challenges.

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CLAIM 投稿者： admin • Jul 23, 2026

Robotics and autonomy driven by industrial AI will create new job opportunities in emerging sectors.

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CLAIM 投稿者： admin • Jul 23, 2026

The potential risks of industrial AI must be carefully managed to avoid negative impacts on jobs and society.

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