Jack Dorsey: Square, Cryptocurrency, and Artificial Intelligence | Lex Fridman Podcast #91
Lex Fridman (host), Jack Dorsey (guest)
In this episode of Lex Fridman Podcast, featuring Lex Fridman and Jack Dorsey, Jack Dorsey: Square, Cryptocurrency, and Artificial Intelligence | Lex Fridman Podcast #91 explores jack Dorsey on Money, Meaning, Bitcoin, and the Future of AI Jack Dorsey discusses how Square was built around the idea of access—using data science and machine learning to lower barriers for small businesses to participate in the economy. He outlines his belief that the internet needs a native, global currency, explaining why he sees Bitcoin as both a technical breakthrough and an activist, philosophical project. The conversation also explores AI’s promise and risks, from explainability and deepfakes to job displacement and universal basic income. Finally, Dorsey reflects on personal practices like fasting and meditation, and how mortality, meaning, and connection shape his decisions and worldview.
Jack Dorsey on Money, Meaning, Bitcoin, and the Future of AI
Jack Dorsey discusses how Square was built around the idea of access—using data science and machine learning to lower barriers for small businesses to participate in the economy. He outlines his belief that the internet needs a native, global currency, explaining why he sees Bitcoin as both a technical breakthrough and an activist, philosophical project. The conversation also explores AI’s promise and risks, from explainability and deepfakes to job displacement and universal basic income. Finally, Dorsey reflects on personal practices like fasting and meditation, and how mortality, meaning, and connection shape his decisions and worldview.
Key Takeaways
Reframing problems unlocks scale and access.
Square shifted from a distrustful, credit-score–based model to a “trust then verify” approach, using transaction-level risk modeling to move approval rates from ~30–40% to 99%, dramatically expanding who can participate in the payments system.
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Data science and ML are foundational, not optional, for modern finance.
From its first year, Square invested heavily in data science and machine learning to model risk and convince banks and card networks that a radically more inclusive onboarding strategy could still be safe and reliable.
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The internet needs a native, global currency to reach its potential.
Dorsey argues that fragmented banking partnerships and regulations slow innovation; a broadly adopted digital currency like Bitcoin could let companies launch products globally with a unified monetary layer, enabling faster, more equitable economic participation.
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AI’s biggest near-term risks are black-box decisions and identity fraud.
He’s less focused on sci‑fi existential threats and more on opaque models making high-stakes decisions (lending, health, content) and the growing gap between deepfake/identity creation technologies and our lagging ability to detect and counter them.
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Job displacement from automation is real and faster than past shifts.
Citing truck drivers and cashiers, Dorsey agrees with Andrew Yang that AI and automation will remove vast numbers of jobs quickly, and that people need a financial floor—via universal basic income—to survive while they retrain and transition.
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Offloading self-awareness to algorithms is a subtle but serious concern.
Building on Yuval Harari’s ideas, he notes that recommendation systems can know individuals’ preferences better than they do, and sees meditation and self-inquiry as tools to preserve awareness that we are delegating choices to algorithms.
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Voluntary discomfort can sharpen focus, resilience, and clarity.
Dorsey uses practices like one-meal-a-day fasting and public speaking challenges as experiments to push beyond comfort; he finds these constraints improve mental clarity, expose personal limits, and help him prioritize what truly matters.
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Notable Quotes
“If there was one word that represents what we're trying to do at Square, it is that word: access.”
— Jack Dorsey
“I believe that the internet deserves and requires a native currency, and that's why I'm such a huge believer in Bitcoin.”
— Jack Dorsey
“The Bitcoin white paper is one of the most seminal works of computer science in the last 20, 30 years. It's poetry.”
— Jack Dorsey
“Our biggest risk in artificial intelligence is that we're building a lot of black boxes that can't necessarily explain why they made a decision.”
— Jack Dorsey
“I do think about [death] every day… It’s a tool to feel the importance of every moment.”
— Jack Dorsey
Questions Answered in This Episode
How would a truly global, internet-native currency concretely change life for entrepreneurs in high-friction markets like parts of Africa?
Jack Dorsey discusses how Square was built around the idea of access—using data science and machine learning to lower barriers for small businesses to participate in the economy. ...
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What practical steps can companies take today to make their AI systems more explainable without sacrificing performance?
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How should regulators balance innovation with the need to prevent abuse of powerful identity-faking technologies such as deepfakes?
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If universal basic income became widespread, how might it change the kinds of products and companies that get built?
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On a personal level, what experiments in discomfort or constraint could most people realistically adopt to improve their focus and sense of meaning?
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Transcript Preview
The following is a conversation with Jack Dorsey, co-founder and CEO of Twitter, and founder and CEO of Square. Given the happenings at the time related to Twitter leadership and the very limited time we had, we decided to focus this conversation on Square and some broader philosophical topics, and to save an in-depth conversation on engineering and AI at Twitter for a second appearance in this podcast. This conversation was recorded before the outbreak of the pandemic. For everyone feeling the medical, psychological, and financial burden of this crisis, I'm sending love your way. Stay strong. We're in this together. We'll beat this thing. As an aside, let me mention that Jack moved one billion dollars of Square equity, which is 28% of his wealth, to form an organization that funds COVID-19 relief. First, as Andrew Yang tweeted, this is a spectacular commitment, and second, it is amazing that it operates transparently by posting all its donations to a single Google Doc. To me, true transparency is simple, and this is as simple as it gets. This is the Artificial Intelligence Podcast. If you enjoy it, subscribe on YouTube, review it with five stars on Apple Podcast, support it on Patreon, or simply connect with me on Twitter @lexfridman, spelled F-R-I-D-M-A-N. As usual, I'll do a few minutes of ads now and never any ads in the middle that can break the flow of the conversation. I hope that works for you and doesn't hurt the listening experience. This show is presented by Masterclass. Sign up on masterclass.com/lex to get a discount and to support this podcast. When I first heard about Masterclass, I thought it was too good to be true. For $180 a year, you get an all-access pass to watch courses from, to list some of my favorites, Chris Hadfield on space exploration, Neil deGrasse Tyson on scientific thinking and communication, Will Wright, creator of SimCity and Sims, both one of my favorite games, on game design, Jane Goodall on conservation, Carlos Santana on guitar, one of my favorite guitar players, Garry Kasparov on chess, Daniel Negreanu on poker, and many, many more. Chris Hadfield explaining how rockets work and the experience of being launched into space alone is worth the money. For me, the key is to not be overwhelmed by the abundance of choice. Pick three courses you want to complete, watch each all the way through. It's not that long, but it's an experience that will stick with you for a long time. It's easily worth the money. You can watch it on basically any device. Once again, sign up on masterclass.com/lex to get a discount and to support this podcast. And now, here's my conversation with Jack Dorsey. You've been on several podcasts, Joe Rogan, Sam Harris, Rich Roll, others, excellent conversations. But I think there's several topics that you didn't talk about that I think are fascinating that I'd love to talk to you about. Sort of machine learning, artificial intelligence, both the- the narrow kind and the general kind, and engineering at scale. So there's a lot of incredible engineering going on that you're a part of. Crypto, cryptocurrency, uh, blockchain, UBI, all kinds of philosophical questions maybe we'll get to-
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