Conversations with the world's best investors, founders & domain experts / hosted by @patrick_oshag / part of @colossusmag

World
Joined July 2020
The founder of TSMC got no equity in the company. He was 56 years old. He's worth ~$10B today from buying TSMC stock with his own money. Ben Thompson called him "a one of one" who belongs on the Mount Rushmore of the greatest tech executives of all time. This is his story. Morris Chang was born in Ningbo, China in 1931 and spent much of his childhood fleeing war. At 18, he arrived at Harvard as the only Chinese student in a freshman class of over 1,000. In 1955 he had two job offers, one from Ford and one from a transistor maker that paid $1 more per month. Ford refused to match, so Chang took the other job. He spent the next 25 years at Texas Instruments (TI) and eventually rose to run its worldwide semiconductor business. Then his ascent stalled. TI moved him out of semiconductors and into a job he later described as being "put out to pasture." Two years later, he quit. He landed next at General Instrument in New York, living on the 53rd floor of Trump Tower, where Donald Trump was his neighbor. The job lasted about a year. It was there, in 1984, that Gordon Campbell asked him for $50 million to start a chip company. A few weeks later, Campbell called back and said he only needed $5 million. Why? "I'm not going to build a fab." Taiwan had been trying to recruit Chang for years, determined to move beyond cheap plastics and running shoes and build a high-tech economy. The government had asked him outright to run its industrial research institute, ITRI, back in 1982, while he was still at TI, and he'd said no. After General Instrument let him go, it asked again. In 1985, he said yes. Donald Lee-Brown, who runs research at Positive Sum, likes to say the very best entrepreneurs can divine where the puck is going. Chang saw that chip design and chip manufacturing were going to split, and someone would need to do the manufacturing for everyone else. On his second day at ITRI, he inherited requests from three chip companies, each asking the institute to help fund its own fab. Instead of building three factories, Chang proposed building one they could all share. That idea became TSMC. Taiwan put in $70 million for 48% of the company. Philips invested $40 million, and private investors contributed another $35 million. Chang, despite founding and running it, got none of the equity. Intel, TI, Motorola, AMD, Panasonic, and Sony all passed on funding it. TSMC grew revenue 49% annually for its first decade. By 2000, most of its revenue came from fabless companies like Qualcomm, Broadcom, and Nvidia. In 1997 Chang got a letter from the CEO of a four-year-old company that was facing bankruptcy and whose calls TSMC's sales office had been ignoring. Chang called the number printed on the stationery. Jensen Huang picked up amid a bunch of shouting, then said to his team, "Quiet, Morris Chang is calling me." Chang stepped down as TSMC's CEO in 2005. Four years later, at 77, he came back. One of the first problems waiting for him was Nvidia. A manufacturing failure had damaged the relationship, and TSMC's management had refused Jensen’s request for compensation. Chang emailed Jensen and told him he would be at his house at six. Salad and pizza at 6:30. Business at eight sharp. In Jensen's study he offered more than $100 million, good for 48 hours, no negotiating. Jensen accepted it in two days. Back in the CEO seat, Chang nearly tripled capital spending in a single year to own the 28-nanometer node. In his memoir he quotes Shakespeare on the decision, "there is a tide in the affairs of men which, taken at the flood, leads on to fortune." The tide turned out to be the smartphone. And then Apple literally showed up at his front door. Chang's wife, Sophie, is the second cousin of Foxconn founder Terry Gou. One evening in 2010, Gou invited himself to dinner and brought Apple’s COO, Jeff Williams. Eventually, over lunch at Apple, Tim Cook told Chang: "Intel just does not know how to be a foundry." Today, TSMC manufactures the A- and M-series processors at the heart of Apple's iPhones, iPads, and Macs. When Chang founded TSMC, the global semiconductor market was about $26 billion. Last year it reached $795 billion. Roughly 30x since 1987. Philips did even better. Chang estimated that by the time Philips sold its final TSMC shares in 2008, it had earned 135x its original investment.
My conversation with @benthompson. Ben has been writing Stratechery for over a decade and remains one of my favorite business thinkers. We covered a lot. Every important company in the industry and the forces acting on all of them. - Why he thinks it would be problematic for the US to win the AI race - Will we run out of money to fund AI - Google becoming Berkshire Hathaway - Why ads are amazing - TSMC, Intel, and Samsung - Nvidia's invisible price cuts + biggest competitors - Microsoft, Amazon, Apple, and Meta I love talking to Ben about everything happening in markets and technology. Enjoy! TIMESTAMPS 0:00 Intro 0:59 America and the AI Race 8:26 AI’s Funding Problem 15:31 AI’s Capabilities and Limits 20:30 Aggregation Theory, AI, and Ads 31:10 Compute, TSMC, and Intel 47:31 Amazon and Apple’s AI Moats 54:43 The Frontier AI Players 74:07 Nvidia and Commoditized Intelligence 82:52 What Survives an AI Bubble?
28
106
21
888
284,826
Invest Like the Best retweeted
Hard agree. BUT ... "growth" is a complex word. I've always loved "resting growth rate" (hat tip: BVP): how fast you grow with zero marketing $. Pick your numbers, but 40% resting growth beats 80% or 130% growth fueled by marketing $.
Christina Cacioppo on high growth v. high margins: "I think in the fullness of time, an 80% growth business with 80% margins will actually be better than a 160% growth business with 30% margins. One of these will return more cash in the fullness of time. But today the latter is valued at 10x the multiple of the former. And so there's a part where everyone's being irrational here. And then there's a very clear game-on-the-field piece. If you need to be financed, you're looking at investors today, many of whom are AI maximalists, that are like, 'We'll invest in the labs and we'll invest in tractors in Iowa. Nothing in between.'"
2
6
16
6,628
Invest Like the Best retweeted
Christina Cacioppo on high growth v. high margins: "I think in the fullness of time, an 80% growth business with 80% margins will actually be better than a 160% growth business with 30% margins. One of these will return more cash in the fullness of time. But today the latter is valued at 10x the multiple of the former. And so there's a part where everyone's being irrational here. And then there's a very clear game-on-the-field piece. If you need to be financed, you're looking at investors today, many of whom are AI maximalists, that are like, 'We'll invest in the labs and we'll invest in tractors in Iowa. Nothing in between.'"
My second conversation with Christina Cacioppo (@christinacaci), Vanta's cofounder and CEO. Charlie Songhurst says the best returns come from companies that are highly boring and highly complex, because fewer founders want to build them. Vanta is one of those companies. When we first talked five years ago, Christina told me about building the first version of Vanta in Excel. Since then she has turned it into the category leader in security compliance. Now she is rebuilding it around AI. We discuss: - Why great software businesses got cheap - Why Vanta eats the cost of AI instead of marking it up - Why comp for top people is up 10X in five years - What is over/under hyped in AI - How AI attackers are changing security - Vanta marketing + billboards - Building trust in an era of low trust Enjoy! TIMESTAMPS 0:00 Intro 4:17 Surviving the SaaSpocalypse 9:40 The AI Pricing Trap 16:17 Rebuilding Software for AI 22:43 Silicon Valley's Talent Wars 31:57 What's Overhyped in AI 38:39 Security at Machine Speed 47:16 Reinventing Software 55:37 The Billboard War 60:38 Rebuilding Trust in Technology
11
9
2
43
21,895
Gavin Baker from December 2025: "It is interesting that Tesla, SpaceX and xAI are all converging. So xAI will be the intelligence module for Optimus made by Tesla with Tesla Vision as its perception system. And then SpaceX will have the data centers in space that will power a lot of the AI, presumably for xAI and Tesla and the Optimuses and a lot of other companies. And it's just interesting the way that they're converging. And each one is kind of creating competitive advantage for the other."
This is my fifth conversation with @GavinSBaker. Gavin understands semiconductors and AI as well as anyone I know and has a gift for making sense of the industry's complexity and nuance. We discuss: - Nvidia vs Google (GPUs + TPUs) - Scaling laws and reasoning models - The economics of AI compute - Why Blackwell's delay mattered - The bear case on the AI capex buildout - Data centers in space - The mistake SaaS companies are making Few people love investing more than Gavin. His closing answer about why he loves it turned into a full reflection on his investing origin story, which I had never heard before. Enjoy! Timestamps: 0:00 Intro 5:03 The Blackwell Transition 23:15 The Prisoner's Dilemma 27:12 The Bear Case: Edge AI 37:19 Meta, Open Source, and Model Depreciation 43:08 Geopolitics and Rare Earths 50:42 Data Centers in Space 56:06 Power Constraints as a Governor 1:11:31 The SaaS Mistake 1:16:17 Nuclear and Quantum 1:22:25 Gavin’s Investing Origins
1
2
1
19
2,605
Invest Like the Best retweeted
I’ve been a huge fan of Invest Like the Best for years. @patrick_oshag does such a good job of helping people understand big topics, and I loved this conversation with @hubermanlab (who I've also been a fan of for years) on neurotechnology, combining scientific learning with an investing perspective on technology, behavior and consumer products. Some of the “cyborg” possibilities feel unsettling when you first hear Andrew talk about them - devices that could change your attention, motivation or emotional state. But Huberman’s comparison with familiar interventions made them easier to understand: >Caffeine changes alertness. >Adderall influences attention. >SSRIs affect serotonin signaling. >GLP-1 drugs act on pathways involved in appetite. >Consumer wearables measure our physiology and encourage us to change our behavior in response. These approaches have different mechanisms and risks, but we already accept many ways of influencing how we feel and behave through psychological, behavioral and chemical interventions. Huberman describes a future in which we can measure nervous-system activity more accurately, use AI to learn how an individual responds, then adjust targeted stimulation. Some of his examples make that more concrete: >Sleep devices that measure eye movements and deliver stimulation to help users fall asleep. >Wearables that could distinguish distress from elevated arousal during an activity someone enjoys. >Targeted stimulation that could help someone focus during a task and relax afterward. Those examples are at different stages of development, and his more ambitious forecasts remain speculative. He also acknowledges how incomplete our understanding of thought and memory remains, and how the same neurons participate in multiple functions - some of which upends a lot of how we thought it worked up until this point. I found the continuity with things we already use particularly interesting. Breaking the technology down into what it measures, what it changes and how that influences behavior makes some of these possibilities feel much less alien/cyborg-ish. I'm so pumped for the future.
My conversation with Andrew Huberman (@hubermanlab). I didn't expect us to spend so much time on the frontier of neurotechnology, and how we'll soon be able to precisely measure and change our brain states, both awake and asleep. It was fascinating. Also discuss: - Building and keeping energy - How to downshift and fall asleep quickly - Neuralink and BCI - The state of health media - Following your curiosity This was a fun one. Enjoy! Timestamps: 0:00 Intro 1:00 Building Energy for High Performance 7:00 How to Fall Asleep 18:10 What’s Gone Wrong With Health Optimization 24:10 AI Companies Could Become Biotech Companies 30:45 Implantable Devices 33:45 Memory 42:50 Controlling Your Brain 59:00 Genetic Engineering 1:11:05 The Key to Meaningful Success
1
5
37
27,117
Invest Like the Best retweeted
With respect, this is terrible advice. You need to prove -- to yourself more so than to investors -- that intelligence is more valuable inside your product, than on top. If tokens *aren't* worth 4X inside your product, what are you even doing? You're just reselling the labs. 1/
Christina Cacioppo on why Vanta is eating its token costs: "If you try to charge people based on tokens, they are very quick to say, 'Oh, you've just marked up a Claude token 4X. Are you 4X as good as Claude?' You actually put yourselves in a competitive position against the models that probably no application really wants to do. We're eating the token cost right now. We're taking lower margin. This is a usage phase and a deployment phase of this technology, and just go nail that, and you can figure out commercialization after."
65
43
25
1,023
147,552
Invest Like the Best retweeted
Christina Cacioppo on why Vanta is eating its token costs: "If you try to charge people based on tokens, they are very quick to say, 'Oh, you've just marked up a Claude token 4X. Are you 4X as good as Claude?' You actually put yourselves in a competitive position against the models that probably no application really wants to do. We're eating the token cost right now. We're taking lower margin. This is a usage phase and a deployment phase of this technology, and just go nail that, and you can figure out commercialization after."
My second conversation with Christina Cacioppo (@christinacaci), Vanta's cofounder and CEO. Charlie Songhurst says the best returns come from companies that are highly boring and highly complex, because fewer founders want to build them. Vanta is one of those companies. When we first talked five years ago, Christina told me about building the first version of Vanta in Excel. Since then she has turned it into the category leader in security compliance. Now she is rebuilding it around AI. We discuss: - Why great software businesses got cheap - Why Vanta eats the cost of AI instead of marking it up - Why comp for top people is up 10X in five years - What is over/under hyped in AI - How AI attackers are changing security - Vanta marketing + billboards - Building trust in an era of low trust Enjoy! TIMESTAMPS 0:00 Intro 4:17 Surviving the SaaSpocalypse 9:40 The AI Pricing Trap 16:17 Rebuilding Software for AI 22:43 Silicon Valley's Talent Wars 31:57 What's Overhyped in AI 38:39 Security at Machine Speed 47:16 Reinventing Software 55:37 The Billboard War 60:38 Rebuilding Trust in Technology
14
10
11
127
163,007
Anthropic's draft S-1, per the WSJ: - H1 2026 revenue: $16.3B (vs. $1.1B in H1 2025) - H1 net loss: $80.7B ($72B of it non-cash) - H1 compute spend: nearly $9B (vs. $7.3B in all of 2025) - Future infrastructure commitments: $600B+ - Cloud deals: $111B Google, $110B AWS, $31B Microsoft - Two customers: ~20% of H1 revenue - The Amodeis pledged 80% of their equity to philanthropy
Krishna Rao is the CFO of Anthropic, and this is his first podcast appearance. He joined the company two years ago when run-rate revenue was about $250M. Today it is $30B. He has helped raise ~$75B and is responsible for the procurement and allocation of compute. I feel lucky we get to hear what it is like to sit inside a company this consequential at a moment this pivotal. We discuss: - The cone of uncertainty - How he allocates compute across Trainium, TPUs, and GPUs - What investors misunderstand about model companies - Why the returns to frontier intelligence keep rising - Platform vs application and where Anthropic builds its own products - How Anthropic uses Claude internally I have asked my closing question about the kindest thing more than 500 times. Krishna's answer is one I have never heard before. Enjoy! Timestamps: 0:00 Intro 2:38 The Compute Canvas 6:51 The "Cone of Uncertainty" 11:58 Why the Returns to Frontier Intelligence Are So High 16:45 Recursive Self-Improvement 20:20 Scaling Laws 23:30 Sourcing $100 Billion in Compute 28:05 Platform vs. Application Strategy 32:52 Pricing Dynamics 38:48 How Anthropic’s Finance Team Uses Claude 43:24 Raising Capital & Overcoming Investor Skepticism 52:32 Public Perception, Risks, and Government Regulation 57:25 Mythos Release 1:12:33 What Could Derail the AI Revolution? 1:13:47 Biotech and Healthcare 1:15:31 The Kindest Thing
3
20
3
134
51,544
Invest Like the Best retweeted
Christina on why Vanta pays its top people 10x what it did five years ago "Should I adjust the pitch and be like 'Inevitably the baseline here is Vanta's 50 billion. The real question you should be considering is if you join, can you take us on a journey to 250 billion?’ Should I start saying that? Probably not. But the answer is not definitely not. Because that is the pitch that people who work at Vanta are getting from other companies. The market now is saying that so much, you do seem unambitious. Total comp, it's probably like a factor of 10. I think it actually should be higher. My general comp philosophy is you never pay the top people enough. Patrick: What those top people are doing that's so valuable typically. High agency, get shit done. That sounds so milquetoast and that's worth millions of dollars, but yes, actually it is. A high-context person who understands the company and the customers and the domain, making generally reasonable decisions and sometimes bad ones, and then iterating on their bad ones and just moving is so valuable."
My second conversation with Christina Cacioppo (@christinacaci), Vanta's cofounder and CEO. Charlie Songhurst says the best returns come from companies that are highly boring and highly complex, because fewer founders want to build them. Vanta is one of those companies. When we first talked five years ago, Christina told me about building the first version of Vanta in Excel. Since then she has turned it into the category leader in security compliance. Now she is rebuilding it around AI. We discuss: - Why great software businesses got cheap - Why Vanta eats the cost of AI instead of marking it up - Why comp for top people is up 10X in five years - What is over/under hyped in AI - How AI attackers are changing security - Vanta marketing + billboards - Building trust in an era of low trust Enjoy! TIMESTAMPS 0:00 Intro 4:17 Surviving the SaaSpocalypse 9:40 The AI Pricing Trap 16:17 Rebuilding Software for AI 22:43 Silicon Valley's Talent Wars 31:57 What's Overhyped in AI 38:39 Security at Machine Speed 47:16 Reinventing Software 55:37 The Billboard War 60:38 Rebuilding Trust in Technology
9
14
3
158
47,174
Christina Cacioppo on what makes them worth 10x: "High agency, get shit done. That sounds so milquetoast, and like that's worth millions of dollars? But yes, actually it is. A high-context person who understands the company and the customers and the domain, making generally reasonable decisions and sometimes bad ones, and then iterating on their bad ones and just moving is so valuable."
Christina on why Vanta pays its top people 10x what it did five years ago "Should I adjust the pitch and be like 'Inevitably the baseline here is Vanta's 50 billion. The real question you should be considering is if you join, can you take us on a journey to 250 billion?’ Should I start saying that? Probably not. But the answer is not definitely not. Because that is the pitch that people who work at Vanta are getting from other companies. The market now is saying that so much, you do seem unambitious. Total comp, it's probably like a factor of 10. I think it actually should be higher. My general comp philosophy is you never pay the top people enough. Patrick: What those top people are doing that's so valuable typically. High agency, get shit done. That sounds so milquetoast and that's worth millions of dollars, but yes, actually it is. A high-context person who understands the company and the customers and the domain, making generally reasonable decisions and sometimes bad ones, and then iterating on their bad ones and just moving is so valuable."
8
1
56
8,129
Invest Like the Best retweeted
One of my favorite @GuptaRK22 stories: Ravi took Christina and me to lunch with his friends Sheryl Sandberg and Tom Bernthal. In his intro Ravi described Vanta as a “boring but amazing” business to Sheryl. Sheryl - who knew the painpoints Vanta solved from her personal experience at Facebook - immediately snapped back at Ravi “what about this could you possibly find boring Ravi, this is so interesting.” First time I ever saw Ravi blush
Charlie Songhurst on why "boring and complex" companies may offer the best returns
2
5
124
22,898
Christina Cacioppo's personal site has a list of 30+ products she built that failed before starting Vanta (worth $4B+). "The function of the overwhelming majority of your artwork is simply to teach you how to make the small fraction of your artwork that soars."
My second conversation with Christina Cacioppo (@christinacaci), Vanta's cofounder and CEO. Charlie Songhurst says the best returns come from companies that are highly boring and highly complex, because fewer founders want to build them. Vanta is one of those companies. When we first talked five years ago, Christina told me about building the first version of Vanta in Excel. Since then she has turned it into the category leader in security compliance. Now she is rebuilding it around AI. We discuss: - Why great software businesses got cheap - Why Vanta eats the cost of AI instead of marking it up - Why comp for top people is up 10X in five years - What is over/under hyped in AI - How AI attackers are changing security - Vanta marketing + billboards - Building trust in an era of low trust Enjoy! TIMESTAMPS 0:00 Intro 4:17 Surviving the SaaSpocalypse 9:40 The AI Pricing Trap 16:17 Rebuilding Software for AI 22:43 Silicon Valley's Talent Wars 31:57 What's Overhyped in AI 38:39 Security at Machine Speed 47:16 Reinventing Software 55:37 The Billboard War 60:38 Rebuilding Trust in Technology
3
29
1
315
19,778
Invest Like the Best retweeted
Christina Cacioppo on why French software companies have stopped building on American models: "I was very surprised to learn a lot of the French software companies are using Chinese models predominantly. I was with our customers in France...and someone said, 'We all switched to Chinese models when Trump closed Fable off to non-Americans. We just realized there's a huge business continuity risk. We can't trust that if we build a business on one of these American models, it'll always be available, so we stopped doing that.'"
My second conversation with Christina Cacioppo (@christinacaci), Vanta's cofounder and CEO. Charlie Songhurst says the best returns come from companies that are highly boring and highly complex, because fewer founders want to build them. Vanta is one of those companies. When we first talked five years ago, Christina told me about building the first version of Vanta in Excel. Since then she has turned it into the category leader in security compliance. Now she is rebuilding it around AI. We discuss: - Why great software businesses got cheap - Why Vanta eats the cost of AI instead of marking it up - Why comp for top people is up 10X in five years - What is over/under hyped in AI - How AI attackers are changing security - Vanta marketing + billboards - Building trust in an era of low trust Enjoy! TIMESTAMPS 0:00 Intro 4:17 Surviving the SaaSpocalypse 9:40 The AI Pricing Trap 16:17 Rebuilding Software for AI 22:43 Silicon Valley's Talent Wars 31:57 What's Overhyped in AI 38:39 Security at Machine Speed 47:16 Reinventing Software 55:37 The Billboard War 60:38 Rebuilding Trust in Technology
24
46
18
283
106,431
Invest Like the Best retweeted
Christina is one of the best founders in the valley She is building a dominant security company. She is a great mentor to other founders and an incredible friend too. Highly recommend.
My second conversation with Christina Cacioppo (@christinacaci), Vanta's cofounder and CEO. Charlie Songhurst says the best returns come from companies that are highly boring and highly complex, because fewer founders want to build them. Vanta is one of those companies. When we first talked five years ago, Christina told me about building the first version of Vanta in Excel. Since then she has turned it into the category leader in security compliance. Now she is rebuilding it around AI. We discuss: - Why great software businesses got cheap - Why Vanta eats the cost of AI instead of marking it up - Why comp for top people is up 10X in five years - What is over/under hyped in AI - How AI attackers are changing security - Vanta marketing + billboards - Building trust in an era of low trust Enjoy! TIMESTAMPS 0:00 Intro 4:17 Surviving the SaaSpocalypse 9:40 The AI Pricing Trap 16:17 Rebuilding Software for AI 22:43 Silicon Valley's Talent Wars 31:57 What's Overhyped in AI 38:39 Security at Machine Speed 47:16 Reinventing Software 55:37 The Billboard War 60:38 Rebuilding Trust in Technology
5
7
99
16,920
Invest Like the Best retweeted
Charlie Songhurst on why "boring and complex" companies may offer the best returns
My second conversation with Christina Cacioppo (@christinacaci), Vanta's cofounder and CEO. Charlie Songhurst says the best returns come from companies that are highly boring and highly complex, because fewer founders want to build them. Vanta is one of those companies. When we first talked five years ago, Christina told me about building the first version of Vanta in Excel. Since then she has turned it into the category leader in security compliance. Now she is rebuilding it around AI. We discuss: - Why great software businesses got cheap - Why Vanta eats the cost of AI instead of marking it up - Why comp for top people is up 10X in five years - What is over/under hyped in AI - How AI attackers are changing security - Vanta marketing + billboards - Building trust in an era of low trust Enjoy! TIMESTAMPS 0:00 Intro 4:17 Surviving the SaaSpocalypse 9:40 The AI Pricing Trap 16:17 Rebuilding Software for AI 22:43 Silicon Valley's Talent Wars 31:57 What's Overhyped in AI 38:39 Security at Machine Speed 47:16 Reinventing Software 55:37 The Billboard War 60:38 Rebuilding Trust in Technology
17
35
25
456
89,947
Invest Like the Best retweeted
My second conversation with Christina Cacioppo (@christinacaci), Vanta's cofounder and CEO. Charlie Songhurst says the best returns come from companies that are highly boring and highly complex, because fewer founders want to build them. Vanta is one of those companies. When we first talked five years ago, Christina told me about building the first version of Vanta in Excel. Since then she has turned it into the category leader in security compliance. Now she is rebuilding it around AI. We discuss: - Why great software businesses got cheap - Why Vanta eats the cost of AI instead of marking it up - Why comp for top people is up 10X in five years - What is over/under hyped in AI - How AI attackers are changing security - Vanta marketing + billboards - Building trust in an era of low trust Enjoy! TIMESTAMPS 0:00 Intro 4:17 Surviving the SaaSpocalypse 9:40 The AI Pricing Trap 16:17 Rebuilding Software for AI 22:43 Silicon Valley's Talent Wars 31:57 What's Overhyped in AI 38:39 Security at Machine Speed 47:16 Reinventing Software 55:37 The Billboard War 60:38 Rebuilding Trust in Technology
13
22
9
202
212,449
Walter Russell Mead (@wrmead) shared a dispatch from Ukraine when we recorded with him in September: "I was back there a couple of months ago, and...I talked to people who said that they don't treat bullet wounds anymore because it's all drones. The Ukraine war is no longer a battalion over here shooting at a battalion over there. With these drones, you have this gray zone, where at most you'd have a couple of soldiers together. One of the hardest problems in warfare now is, how do you evacuate someone who's wounded? They're having to build a new kind of ground drone that can go retrieve a person, cover them with a metal shield, and wheel them out. Even to do this, you need a whole team of drones working with this thing because they're looking for other drones that would try to attack this. They tell me they had one soldier that it took 63 days to get evacuated after a wound. This is so unlike what war was even six years ago. If the tank and the rifle are becoming as obsolete as the cavalry charge and the sword, what kind of forces do you need? We're actually the most vulnerable to technological change, because we've got so many tanks. If the tank becomes useless, that's more of a problem for us than it is for somebody who's figured out the tank killer."
BREAKING: Ukraine has carried out the world’s first medical evacuation of a human via a drone from the battlefield the 30th mechanised brigade of Ukraine managed to save their injured comrade from a minefield. Just absolutely insane.
1
5
23
10,124
Invest Like the Best retweeted
David Vélez on why stablecoins could save the US dollar: "There are about 190 currencies around the world. My view is that in 10-20 years from now, those 190 will be 10. The fiscal situation in so many countries around the world is so dire that a lot of that fiat money is not real money. And so increasingly, billions of people are going to be banking on the offshore world, US stablecoin, but also Bitcoin and other type of assets. I think the US stablecoins ultimately will be the big savior or one of the biggest saviors of the US dollar, because it democratizes access to the US dollar. At least there is a lot of demand for the US stablecoin. There's very little for the Brazilian stablecoin, unfortunately."
My conversation with David Vélez (@velez_david), founder and CEO of Nubank. The last time we did this was five years ago, and Nubank had 35 million customers. Today it has over 140 million, and it has just announced it's coming to the US. David now talks about expanding to 100 countries and reaching a billion customers. We discuss: - State and future of global banking - Agents as a customer segment - Going from one direct report to 20 - How he's rebuilding the company with AI - Where fintech opportunities remain - The end of cash - Founder v CEO, great leadership, and finding the right mission Enjoy! TIMESTAMPS 0:00 Intro 1:25 Banking's $10 Trillion Disruption 5:54 AI's Impact on Banking 14:40 Building Moats in the AI Era 23:29 The Future of Money 36:01 Nubank's Global Expansion 48:24 Reinventing Nubank with AI 59:47 Founder Mindset and Leadership 1:13:18 Nubank's Future and Entrepreneurship
18
51
22
336
48,045
David Vélez on how Nubank, a company with over 10,000 employees, responds to AI in real time: "Opus 4.6 came in in December of 2025, and that was the moment that a lot of people suddenly realized, 'This actually works.' And we didn't catch that moment. We only caught it 60 days after. 60 days made a huge amount of difference between us and best-in-class companies that were using AI. So we went back to Brazil, and went code red around the entire organization. We mapped out 120 different workflows across the entire organization. Every part of the organization, 120 workflows were reinvented natively using AI tools."
My conversation with David Vélez (@velez_david), founder and CEO of Nubank. The last time we did this was five years ago, and Nubank had 35 million customers. Today it has over 140 million, and it has just announced it's coming to the US. David now talks about expanding to 100 countries and reaching a billion customers. We discuss: - State and future of global banking - Agents as a customer segment - Going from one direct report to 20 - How he's rebuilding the company with AI - Where fintech opportunities remain - The end of cash - Founder v CEO, great leadership, and finding the right mission Enjoy! TIMESTAMPS 0:00 Intro 1:25 Banking's $10 Trillion Disruption 5:54 AI's Impact on Banking 14:40 Building Moats in the AI Era 23:29 The Future of Money 36:01 Nubank's Global Expansion 48:24 Reinventing Nubank with AI 59:47 Founder Mindset and Leadership 1:13:18 Nubank's Future and Entrepreneurship
10
2
44
9,624
Berkshire Hathaway just added another $330 million to its investment in Bending Spoons, bringing its total commitment to roughly $930 million for a 4% stake in the company. Bending Spoons is up nearly 40% today.
Luca Ferrari is the co-founder and CEO of @bendingspoons, one of the most fascinating companies in Europe and just became Italy's first decacorn. He describes it as 25% private equity firm and 75% technology company. They fully acquire and rebuild digital companies like Evernote, Vimeo, and most recently AOL. @luke10ferrari shares exactly how the Bending Spoons playbook works — how they find great businesses, improve every core function, and finance them with both debt and equity to own and operate forever. We also talk about his obsession with attracting and developing exceptional talent and why he's determined to build a generational company in Europe. Enjoy! Timestamps 0:00 Intro 0:30 What is Bending Spoons? 4:30 Why Europe Lacks Trillion-Dollar Companies 7:25 The First Test: From Failure to Founding 10:52 The McKinsey Years & Funding Co-founders 13:24 The Strategic Insight: Why M&A Over Building 16:13 Structural Advantages of the Platform Model 21:00 Talent as the Ultimate Edge 22:50 Rejecting Consensus 26:28 Early Days: From $10K to Billions 30:52 The Evernote Transformation 36:17 Pricing Power & Monetization Sophistication 40:32 Valuation & Deal Discipline 44:52 Financing Strategy 1:01:47 No Variable Pay: A Contrarian Approach 1:04:14 Areas of Dissatisfaction & Regulatory Frustration 1:09:25 Raising Europe's Largest Private Debt Round 1:13:28 AI's Impact on Software Businesses 1:17:26 Building Culture: State of the Spoon & Retreats 1:20:20 Why There Aren't More Bending Spoons 1:23:35 The Kindest Thing
3
12
102
12,781
Invest Like the Best retweeted
Yes. I think I quote Vishria more than anyone.
2
2
69
6,887