{
 "episode_id": "invest-like-the-best-2026-06-09-alex-sacerdote-how-to-invest-through-technology-cycles",
 "title": "Alex Sacerdote - How to Invest Through Technology Cycles",
 "podcast": "invest-like-the-best",
 "published_at": "2026-06-09",
 "speakers": [
  "Patrick O'Shaughnessy",
  "Alex Sacerdote"
 ],
 "summary": "Whale Rock Capital founder Alex Sacerdote walks Patrick O'Shaughnessy through his single investing lens — technology S-curves, durable competitive advantage, and underappreciated earnings power — using his highest-conviction position, Anthropic, as the worked example. He recounts Whale Rock's AI deep dive after ChatGPT's launch, the thesis that the foundational model layer would resolve into a three-horse oligopoly (Anthropic, OpenAI, Google), and the August 2025 Anthropic investment at a $180B valuation driven by the explosion of agentic coding. He details how a public-markets firm wins private allocations (the 90-page Claude Code-assisted Anthropic deck, the $100M Stripe block in April 2020), then unpacks S-curve mechanics: barriers to adoption, the 'backwards L-curve' of AI (10 bips of knowledge workers going to 15% in four years), and why exponential growth fades around 30-40% penetration. On software he is bearish — Whale Rock sold nearly all software and entered the year net short — while on hardware he describes a 'decommoditization' renaissance (Celestica, Corning, PCBs, power supplies) with the DRAM, NAND, and PCB markets already ~30% short. He closes on risks (public negativity toward AI, a possible model-improvement wall), the still-unclear application layer, the WhaleRock Learning Machine research process where AI is 'a great reporter' but can't pick stocks, the new MegaCap Tech Fund, and a tribute to his father.",
 "topics": [
  {
   "name": "The Anthropic Thesis and the Foundational Model Oligopoly",
   "timestamp": "3:27",
   "summary": "Sacerdote recounts Whale Rock's firm-wide AI deep dive after ChatGPT's November 2022 launch, the chips-and-infrastructure-first strategy, and how the foundational model layer narrowed from ~60 contenders to a three-horse oligopoly; the coding explosion (Anthropic employees spending $100/day on tokens) drove the investment at the $180B round."
  },
  {
   "name": "Breaking Into Private Markets: Anthropic and Stripe",
   "timestamp": "14:01",
   "summary": "How a legacy public-markets investor wins private allocations: relationship-building with Anthropic's management and a 90-page diligence deck built with Claude Code, plus the origin story of Whale Rock's first private — a $100M Stripe block bought from a VC seller in April 2020, underwritten via Adyen comparables."
  },
  {
   "name": "The S-Curve Framework",
   "timestamp": "19:36",
   "summary": "Sacerdote lays out the Whale Rock framework — S-curve, competitive advantage, underappreciated earnings power — explaining how removing barriers to adoption (iPhone price, Tesla range) triggers the demand tornado, how to size how tall an S-curve is (the AWS TAM work), and why exponential growth stops around 30-40% penetration."
  },
  {
   "name": "Timing the Inflection: Intuition and Pattern Recognition",
   "timestamp": "25:27",
   "summary": "On knowing when to buy: Andy Grove's point that you can't trust data at strategic inflection points, visual/anecdotal clues (Gartner IT Symposium packed rooms for Splunk, VMware, AWS), Peter Lynch's 'white out the chart,' why it's okay to miss the first 100%, and the radio-vs-dishwasher models for adoption pace."
  },
  {
   "name": "Digital Moats and the Model Layer's Competitive Advantages",
   "timestamp": "30:59",
   "summary": "Why digital competitive advantages (network effects, industry standard, scale, platform, critical IP, brand) rival offline ones, the 2013 'Coke and no Pepsi' AWS pitch, and the case that Anthropic and OpenAI now show critical IP, enterprise brand, escape-velocity scale, and possibly recursive improvement."
  },
  {
   "name": "AI's Impact on Enterprise Software",
   "timestamp": "38:11",
   "summary": "Whale Rock went from 40-50% software to net short: incumbents' AI products weren't good, AI spend crowds out budgets, pricing power and seats are at risk, and AI-native challengers loom — though a half-baked counter-thesis says agents operating inside tools like Slack and CRM could entrench them; Sacerdote proposes a new 'rule of 40' (% of sales that are AI + market share)."
  },
  {
   "name": "The Decommoditization of Hardware",
   "timestamp": "44:41",
   "summary": "AI workloads growing 10x/year are pushing every data-center component to physical limits, reversing 40 years of commoditization: Celestica (Google TPU servers, 50-60% cloud Ethernet switch share), Corning fiber, 40-layer PCBs and Elite Materials, power supplies — with DRAM, NAND, and PCB markets already ~30% short."
  },
  {
   "name": "Risks to the AI Trade",
   "timestamp": "55:48",
   "summary": "What worries Sacerdote: broad public and governmental negativity toward AI (Maine banning data centers), the risk that model improvement hits a wall — letting open source catch up and triggering a race to the bottom for the model stocks — and the possibility of a major player faltering and stranding compute."
  },
  {
   "name": "The Application Layer",
   "timestamp": "58:09",
   "summary": "Why Whale Rock has done little in AI applications: the app layer always comes later, the boundary between foundation model and application is unclear and dangerous, though great application companies will be built — he's watching Bret Taylor's Sierra as the bellwether."
  },
  {
   "name": "The WhaleRock Learning Machine, Fund Products, and His Father",
   "timestamp": "1:00:29",
   "summary": "AI is helping research as 'a great reporter' but can't pick stocks; the Philip Fisher scuttlebutt process and 2,500-3,000 management meetings a year remain the engine; Whale Rock's product evolution culminates in the new MegaCap Tech Fund (best 12-13 of the top 30 global market caps); he closes with a tribute to his father, his Goldman-veteran chairman and mentor."
  }
 ],
 "entities": [
  {
   "name": "Alex Sacerdote",
   "type": "person",
   "salience": "central",
   "role_in_episode": "Guest; founder of Whale Rock Capital Management and holder of nearly every claim — lays out the S-curve framework and the Anthropic thesis."
  },
  {
   "name": "Patrick O'Shaughnessy",
   "type": "person",
   "salience": "central",
   "role_in_episode": "Host of Invest Like the Best; probes the framework, private-markets access, software, and the application layer."
  },
  {
   "name": "Whale Rock Capital Management",
   "type": "company",
   "salience": "central",
   "role_in_episode": "Sacerdote's $17B+ technology-focused firm; its framework, private investments, short book, research machine, and fund lineup structure the episode."
  },
  {
   "name": "Anthropic",
   "type": "company",
   "salience": "central",
   "role_in_episode": "Whale Rock's highest-conviction position; invested at the $180B round in August 2025 on the coding explosion, enterprise brand, and escape-velocity thesis."
  },
  {
   "name": "OpenAI",
   "type": "company",
   "salience": "discussed",
   "role_in_episode": "One of the three oligopoly foundational model players; won consumer, improving in enterprise and coding."
  },
  {
   "name": "Google",
   "type": "company",
   "salience": "discussed",
   "role_in_episode": "Third horse in the model oligopoly via Gemini and one of Whale Rock's largest positions; also a moat case study (brand, TPU server supplied by Celestica)."
  },
  {
   "name": "NVIDIA",
   "type": "company",
   "salience": "discussed",
   "role_in_episode": "Bought in 2023 at four times earnings on the underappreciated-earnings framework; its racks drive power-supply ASPs and conviction-testing bubble fears."
  },
  {
   "name": "Amazon",
   "type": "company",
   "salience": "discussed",
   "role_in_episode": "AWS case study for spotting a hidden S-curve — the 2013 'bulls have no idea what they're sitting on' pitch and the largest enterprise IT TAM ever."
  },
  {
   "name": "AWS",
   "type": "product",
   "salience": "discussed",
   "role_in_episode": "Amazon's cloud — the model for ecosystem lock-in that Sacerdote sees Anthropic repeating, and a hidden line item Whale Rock got 'for free.'"
  },
  {
   "name": "Stripe",
   "type": "company",
   "salience": "discussed",
   "role_in_episode": "Whale Rock's first private investment — a $100M block bought from a VC seller during COVID at a ~$35B valuation, underwritten via Adyen comparables."
  },
  {
   "name": "Adyen",
   "type": "company",
   "salience": "discussed",
   "role_in_episode": "Public next-gen payments company (transcribed as 'Audion') Whale Rock owned; its take-rate and customer diligence gave them the lens to underwrite Stripe ('this is Coke and Pepsi')."
  },
  {
   "name": "Apple",
   "type": "company",
   "salience": "discussed",
   "role_in_episode": "Smartphone S-curve case study — Jobs removing barriers to adoption — and a lesson on selling at ~50% US penetration in 2012."
  },
  {
   "name": "Tesla",
   "type": "company",
   "salience": "discussed",
   "role_in_episode": "EV S-curve case study — bought in 2019 at five times earnings; the EV curve later hit a wall at 10-15% penetration."
  },
  {
   "name": "Celestica",
   "type": "company",
   "salience": "discussed",
   "role_in_episode": "Decommoditization poster child: sole supplier of the Google TPU server, ~50-60% share of cloud Ethernet switches, found at eight times earnings."
  },
  {
   "name": "Corning",
   "type": "company",
   "salience": "discussed",
   "role_in_episode": "Fiber supplier with very high share; scale-across data-center wiring drives growth and copper-to-fiber scale-up is the 2-3x kicker."
  },
  {
   "name": "Elite Materials",
   "type": "company",
   "salience": "mentioned",
   "role_in_episode": "Whale Rock holding that makes copper-clad laminate, the leading ingredient in high-layer-count AI PCBs."
  },
  {
   "name": "Salesforce",
   "type": "company",
   "salience": "mentioned",
   "role_in_episode": "Example of the software incumbents' problem — $40B of sales with only ~$500-700M of AI ARR; CRM going headless is the bear case."
  },
  {
   "name": "Slack",
   "type": "product",
   "salience": "mentioned",
   "role_in_episode": "Example of the half-baked bull case that AI agents plugging into incumbent platforms could make them permanent fixtures."
  },
  {
   "name": "Claude Code",
   "type": "product",
   "salience": "discussed",
   "role_in_episode": "Anthropic's agentic coding tool whose explosion (variously transcribed as 'cloud code'/'ClogCode') anchored the coding-market thesis and built Whale Rock's 90-page Anthropic deck."
  },
  {
   "name": "S-curve",
   "type": "concept",
   "salience": "central",
   "role_in_episode": "The core framework — technology adoption curves, barriers to adoption, curve height and slope — through which Sacerdote invests."
  },
  {
   "name": "Sierra",
   "type": "company",
   "salience": "mentioned",
   "role_in_episode": "Bret Taylor's AI application company Whale Rock is watching (not involved) as the test of whether the application layer produces huge companies."
  },
  {
   "name": "Bret Taylor",
   "type": "person",
   "salience": "mentioned",
   "role_in_episode": "Sierra founder, former CEO of Salesforce (CRM), Google Maps author; the application-layer bellwether Sacerdote is watching."
  },
  {
   "name": "Jensen Huang",
   "type": "person",
   "salience": "mentioned",
   "role_in_episode": "Cited for the AI stack layers, the 'if good enough is good enough, I won't have a business' line, and wanting open source to take off."
  },
  {
   "name": "Andrej Karpathy",
   "type": "person",
   "salience": "mentioned",
   "role_in_episode": "Cited (with Linus Torvalds) as flip-flopping on AI coding — now writes no code except in English."
  },
  {
   "name": "Marc Andreessen",
   "type": "person",
   "salience": "mentioned",
   "role_in_episode": "Cited for the prediction that there will not be enough compute over the next four years."
  },
  {
   "name": "Dario Amodei",
   "type": "person",
   "salience": "mentioned",
   "role_in_episode": "Anthropic CEO; time spent with him convinced Sacerdote of the management team's excellence."
  },
  {
   "name": "Peter Lynch",
   "type": "person",
   "salience": "mentioned",
   "role_in_episode": "Fidelity mentor whose 'white out the chart' lesson underpins the it's-okay-to-be-late view."
  },
  {
   "name": "Philip Fisher",
   "type": "person",
   "salience": "mentioned",
   "role_in_episode": "Author of Common Stocks and Uncommon Profits; his scuttlebutt approach is the basis of Whale Rock's research system."
  },
  {
   "name": "Andy Grove",
   "type": "person",
   "salience": "mentioned",
   "role_in_episode": "Cited for the idea that you can't trust the data at strategic inflection points."
  },
  {
   "name": "AppLovin",
   "type": "company",
   "salience": "mentioned",
   "role_in_episode": "Example of award-winning human research — two ad-tech analysts figured out the story before anybody, work AI couldn't do."
  },
  {
   "name": "WhaleRock MegaCap Tech Fund",
   "type": "product",
   "salience": "discussed",
   "role_in_episode": "Whale Rock's newest fund: the best 12-13 of the top 30 global market caps, built on the thesis that allocators are structurally underweight mega-cap tech."
  },
  {
   "name": "Meta",
   "type": "company",
   "salience": "mentioned",
   "role_in_episode": "Big-company model effort that faltered and rebooted; also the example of someone absorbing canceled compute (the Oracle deal)."
  },
  {
   "name": "enterprise software",
   "type": "concept",
   "salience": "discussed",
   "role_in_episode": "The sector Whale Rock sold and shorted — under pressure from AI budgets, pricing, seats, and AI-native challengers."
  },
  {
   "name": "open-source AI models",
   "type": "concept",
   "salience": "discussed",
   "role_in_episode": "The commoditization risk: can approach the leading edge but not leapfrog it — unless frontier labs hit a wall."
  }
 ],
 "claims": [
  {
   "holder": "Alex Sacerdote",
   "claim": "The foundational model layer has resolved into a three-horse race and somewhat of an oligopoly (Anthropic, OpenAI, Google), much as three clouds came to underpin the SaaS world.",
   "stance": "assertion",
   "conviction": 0.8,
   "subjects": [
    "Anthropic",
    "OpenAI",
    "Google"
   ],
   "timestamp": "3:27",
   "quote": "So it really started to look like a three-horse race and somewhat of an oligopoly."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Open-source models lack the compute to leapfrog the leading edge — they can come close to the frontier but then falter.",
   "stance": "assertion",
   "conviction": 0.7,
   "subjects": [
    "open-source AI models",
    "Anthropic"
   ],
   "timestamp": "3:27",
   "quote": "The open source guys, they don't have as much compute, so they can come close to the leading edge, but they can't leapfrog it and then they kind of falter."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Coding alone is a half-trillion-dollar market for AI, based on ~20 million coders worldwide spending $20,000-30,000 a year on tokens.",
   "stance": "opinion",
   "conviction": 0.75,
   "subjects": [
    "Anthropic",
    "Claude Code",
    "AI"
   ],
   "timestamp": "3:27",
   "quote": "And if you think about how many coders there are in the world, $20 million, you've got a half a trillion dollar market just from coding alone."
  },
  {
   "holder": "Andrej Karpathy",
   "reported_by": "Alex Sacerdote",
   "claim": "AI coding flipped from writing ~20% of code (80% handwritten) to essentially all of it — he no longer writes a line of code except in English.",
   "stance": "assertion",
   "conviction": 0.85,
   "subjects": [
    "Claude Code",
    "AI"
   ],
   "timestamp": "8:37",
   "quote": "And Karpathy said, last year's code tools could write 20 percent and 80 percent would be handwritten. That flipped when the latest model came out, and now he hasn't written a line of code except in English."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Contrary to the commodity thesis, AI models have tremendous differentiation — different training methods and skills constitute critical IP and a great competitive advantage.",
   "stance": "assertion",
   "conviction": 0.8,
   "subjects": [
    "Anthropic",
    "Google",
    "open-source AI models"
   ],
   "timestamp": "8:37",
   "quote": "But in the AI models, everyone thought it would be pure commodity, but there's tremendous differentiation within."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Anthropic is building an entire ecosystem of products (SDK, orchestration, the 'harness') around its API, repeating the lock-in playbook AWS ran from 2013.",
   "stance": "assertion",
   "conviction": 0.75,
   "subjects": [
    "Anthropic",
    "AWS"
   ],
   "timestamp": "8:37",
   "quote": "They're building a whole monopoly or a whole ecosystem of products around the API."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "The AI infrastructure S-curve is only ~10% penetrated and the enterprise application AI market is less than 1% penetrated.",
   "stance": "assertion",
   "conviction": 0.75,
   "subjects": [
    "AI",
    "enterprise software"
   ],
   "timestamp": "8:37",
   "quote": "And so the enterprise AI or enterprise application AI market is less than 1% penetrated."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "AI is the biggest S-curve Whale Rock has seen, bigger than Internet 1.0, mobile, cloud, and e-commerce.",
   "stance": "opinion",
   "conviction": 0.9,
   "subjects": [
    "AI",
    "S-curve"
   ],
   "timestamp": "19:36",
   "quote": "We've been lucky that we've had Internet 1.0, mobile, cloud, e-commerce, and now AI, which we can confidently say is the biggest."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "If you understand the S-curve, the moats, and the modeling, you genuinely can predict earnings two to four years out — which most of the market refuses to believe.",
   "stance": "opinion",
   "conviction": 0.85,
   "subjects": [
    "S-curve",
    "Whale Rock Capital Management"
   ],
   "timestamp": "19:36",
   "quote": "But if you follow and understand the S-curve, you know the motes and you know how to model, you really can predict these great things."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Technology adoption inflects vertically only when the barriers to adoption are removed — that removal triggers the tornado of demand.",
   "stance": "assertion",
   "conviction": 0.8,
   "subjects": [
    "S-curve",
    "Apple",
    "Tesla"
   ],
   "timestamp": "19:36",
   "quote": "And then you rocket when those barriers are removed. That's the tornado of demand that everybody in the world knows they need this right away."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "The electric vehicle S-curve, expected to reach 40-50% of cars, unusually stalled at 10-15% penetration — S-curves are dynamic and must be re-underwritten.",
   "stance": "assertion",
   "conviction": 0.7,
   "subjects": [
    "Tesla",
    "S-curve"
   ],
   "timestamp": "19:36",
   "quote": "With the electric vehicle S-curve, you have to pay attention to because we thought probably maybe 40 to 50 percent of the cars will go electric, but it did hit a big wall at 10 or 15 percent."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Exponential growth — and the big stock gains — generally end around 30-40% penetration, when the sell side catches up and big beats stop.",
   "stance": "assertion",
   "conviction": 0.75,
   "subjects": [
    "S-curve"
   ],
   "timestamp": "19:36",
   "quote": "And generally, when something gets to sort of 30, 40 percent penetrated, then you stop having exponential growth, which means the cell side catches up and there's no longer big beats."
  },
  {
   "holder": "Andy Grove",
   "reported_by": "Alex Sacerdote",
   "claim": "At strategic inflection points you can't trust the data — they are about intuition and anecdotal evidence.",
   "stance": "assertion",
   "conviction": 0.75,
   "subjects": [
    "S-curve"
   ],
   "timestamp": "25:27",
   "quote": "Andy Grove says, when you have strategic inflection points, you can't trust the data."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "It's okay to be late to an S-curve — missing the first one to three years (even the first 100%) is fine when the top of the curve is half a trillion dollars away.",
   "stance": "opinion",
   "conviction": 0.8,
   "subjects": [
    "S-curve"
   ],
   "timestamp": "25:27",
   "quote": "It's okay to miss the first one, two, three years in a lot of cases, because if the top of the S curve is half a trillion, the growth can go on for a long time."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "AI adoption will be faster than cloud or SaaS because there is no integration barrier — you just open the browser and it's there, producing a 'backwards L curve.'",
   "stance": "assertion",
   "conviction": 0.75,
   "subjects": [
    "AI",
    "S-curve"
   ],
   "timestamp": "28:41",
   "quote": "But what's amazing about AI is you just, at least with consumers or even business, you just open up the browser and it's there."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Anthropic has reached escape velocity — critical IP in code, the leading enterprise brand among CIOs, 10x sales growth, and proven fundraising ability.",
   "stance": "opinion",
   "conviction": 0.8,
   "subjects": [
    "Anthropic"
   ],
   "timestamp": "34:18",
   "quote": "Certainly, with Anthropic, with their 10X sales growth and their fundraising ability, it looks like they've reached escape velocity."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Anthropic feeding its leading code capability back into its own model is recursive improvement — its innovation pace is accelerating and it may reach a lift-off stage.",
   "stance": "opinion",
   "conviction": 0.55,
   "subjects": [
    "Anthropic"
   ],
   "timestamp": "34:18",
   "quote": "If you look at the pace of their innovation, it's accelerating. Maybe they can have this lift-off stage."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Software incumbents' AI products were not good — they weren't moving the needle and nobody could charge for them — so Whale Rock sold almost all of its software.",
   "stance": "assertion",
   "conviction": 0.85,
   "subjects": [
    "enterprise software",
    "Whale Rock Capital Management"
   ],
   "timestamp": "38:11",
   "quote": "Pretty quickly, we realized their AI products were not very good. They weren't moving the needle. Nobody could charge for them. We basically sold almost all of our software."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Even if AI doesn't disrupt software directly, it hurts incumbents through CIO priority lists, budget crowd-out from Anthropic token spend, lost pricing power, and seat losses from job cuts.",
   "stance": "assertion",
   "conviction": 0.75,
   "subjects": [
    "enterprise software",
    "Anthropic"
   ],
   "timestamp": "38:11",
   "quote": "So even if AI is not going to be disruptive, they're spending it on Anthropic tokens because there's faster ROI there."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Within one to five years, brand-new AI-native companies could go after each strong software incumbent, especially if the incumbents' data advantage gets obviated.",
   "stance": "prediction",
   "conviction": 0.5,
   "subjects": [
    "enterprise software",
    "AI"
   ],
   "timestamp": "40:11",
   "quote": "But you can imagine a world where in one, two, three, four, five years, you could have a brand new AI native company going after each one of these very strong incumbents."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "A counter-thesis (self-described as half-baked): AI agents operating inside incumbent platforms like Slack or CRM could make those platforms permanent fixtures rather than killing them.",
   "stance": "opinion",
   "conviction": 0.4,
   "subjects": [
    "Slack",
    "enterprise software"
   ],
   "timestamp": "40:11",
   "quote": "AI could make some of these software platforms more important because what's the first thing you do with Cloud? You plug it into Slack."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Software should be screened by a new 'rule of 40' for the AI era: the percent of sales that are AI plus market share in that AI category.",
   "stance": "opinion",
   "conviction": 0.7,
   "subjects": [
    "enterprise software",
    "AI"
   ],
   "timestamp": "40:11",
   "quote": "For AI, we have a new rule of 40 What percent of your sales are AI?"
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "AI is driving the decommoditization of the hardware industry — workloads growing 10x a year push every server component to its physical limits, creating both unit growth and durable IP.",
   "stance": "assertion",
   "conviction": 0.85,
   "subjects": [
    "AI",
    "NVIDIA",
    "Celestica"
   ],
   "timestamp": "44:41",
   "quote": "Not only are you creating tremendous unit growth, but we call it the decommoditization of the hardware industry."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "If the L-curve demand thesis is right, the DRAM, NAND, and PCB markets are already roughly 30% short of supply.",
   "stance": "assertion",
   "conviction": 0.7,
   "subjects": [
    "AI",
    "Celestica"
   ],
   "timestamp": "51:32",
   "quote": "The broader picture is the AI demand, if we're right with this L-curve, we're already short the DRAM market, the NAND market, the PCB market. We're already 30% short all these things as we are now."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Whale Rock's framework stays an edge despite being public because it's genuinely hard to execute — like a casino teaching blackjack — requiring decades of cycles, hardware coverage no one does, and conviction through bubble scares.",
   "stance": "opinion",
   "conviction": 0.8,
   "subjects": [
    "Whale Rock Capital Management",
    "S-curve"
   ],
   "timestamp": "54:09",
   "quote": "It's like, why does a casino teach people how to play blackjack? It's really hard to do."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Broad negativity about AI in the general population and parts of government — and the resulting regulation risk — is a real threat to the AI trade, though the genie is out of the bottle.",
   "stance": "opinion",
   "conviction": 0.65,
   "subjects": [
    "AI"
   ],
   "timestamp": "55:48",
   "quote": "One thing that bothers me is there's a lot of negativity in the general population about AI."
  },
  {
   "holder": "Jensen Huang",
   "reported_by": "Alex Sacerdote",
   "claim": "If good enough is good enough, NVIDIA won't have a business — the franchise depends on people always wanting the best.",
   "stance": "assertion",
   "conviction": 0.75,
   "subjects": [
    "NVIDIA"
   ],
   "timestamp": "55:48",
   "quote": "But Jensen said this years ago when he was talking about his graphics chips, if good enough is good enough, I won't have a business."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "If Anthropic or OpenAI hit a wall and stop improving, open-source models will catch up and it becomes a race to the bottom — bad for the model stocks, though the chip companies don't care who wins.",
   "stance": "assertion",
   "conviction": 0.55,
   "subjects": [
    "Anthropic",
    "OpenAI",
    "open-source AI models"
   ],
   "timestamp": "55:48",
   "quote": "In AI, if Anthropic sort of hits a wall and stops improving or OpenAI, then the open source models will catch up."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "Jensen Huang really wants open source to take off — it was all he kept mentioning at his last GTC.",
   "stance": "assertion",
   "conviction": 0.7,
   "subjects": [
    "Jensen Huang",
    "NVIDIA",
    "open-source AI models"
   ],
   "timestamp": "55:48",
   "quote": "Jensen really wants open source to take off. It's all he kept on mentioning at his last GTC."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "The AI application layer is still unclear and a little dangerous to invest in — it's hard to tell where the foundational model ends and the application begins — though great application companies will eventually be built.",
   "stance": "opinion",
   "conviction": 0.7,
   "subjects": [
    "AI",
    "Sierra"
   ],
   "timestamp": "58:09",
   "quote": "And at the application layer, it's still kind of unclear and a little bit dangerous."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "AI can be a great reporter for investment research but cannot pick stocks or supply the forward-looking wisdom — the analyst's insight on top is still the job.",
   "stance": "opinion",
   "conviction": 0.75,
   "subjects": [
    "AI",
    "Whale Rock Capital Management"
   ],
   "timestamp": "1:00:29",
   "quote": "So the AI can be a great reporter. It can't pick into the future."
  },
  {
   "holder": "Alex Sacerdote",
   "claim": "There is tremendous alpha in the largest-cap tech stocks because endowments and allocators are structurally underweight them and it takes 100 diversified PMs to move a mega cap.",
   "stance": "opinion",
   "conviction": 0.8,
   "subjects": [
    "WhaleRock MegaCap Tech Fund",
    "Google",
    "NVIDIA"
   ],
   "timestamp": "1:04:04",
   "quote": "I think there's tremendous Alpha in the largest cap, because if you think about it, a small cap, it just takes one person to figure out it's good and move it up."
  }
 ],
 "predictions": [
  {
   "holder": "Alex Sacerdote",
   "prediction": "Real AI usage will climb the S-curve from ~10 basis points of knowledge workers to 1-3%, then 5%, then 15% over the next four years.",
   "timeframe": "next four years",
   "subjects": [
    "AI",
    "Anthropic"
   ],
   "timestamp": "8:37",
   "quote": "But you're going to go from 10 bips to 1 to 2 or 3% to 5% to 15% in the next four years.",
   "due": "2030-06-09"
  },
  {
   "holder": "Marc Andreessen",
   "prediction": "There will not be enough compute over the next four years.",
   "timeframe": "next four years",
   "subjects": [
    "AI",
    "compute"
   ],
   "timestamp": "8:37",
   "quote": "Mark Andreessen said in the next four years, one thing he's sure of is there's not going to be enough compute.",
   "due": "2030-06-09"
  },
  {
   "holder": "Alex Sacerdote",
   "prediction": "Scale-up networking (connecting every GPU within the rack) will eventually move from copper to fiber, which will 2-3x Corning's opportunity.",
   "timeframe": "unspecified",
   "subjects": [
    "Corning",
    "AI"
   ],
   "timestamp": "44:41",
   "quote": "Eventually, that'll be done over fiber. When that happens, that 2-3x is Corning's opportunity."
  }
 ],
 "facts": [
  {
   "statement": "Whale Rock Capital Management manages more than $17 billion across hedge fund, long-only, and hybrid strategies, and has compounded at roughly 44% per year over the past three years.",
   "subjects": [
    "Whale Rock Capital Management"
   ],
   "value": "$17B+ AUM; ~44%/year over 3 years",
   "timestamp": "2:27",
   "quote": "Whale Rock is a technology focused investment firm that manages more than $17 billion across hedge fund, loan only and hybrid strategies.",
   "source": "Patrick O'Shaughnessy"
  },
  {
   "statement": "Anthropic insiders were spending $100 a day on tokens, which annualizes to $20,000-30,000 per coder.",
   "subjects": [
    "Anthropic",
    "Claude Code"
   ],
   "value": "$100/day in tokens (~$20-30k/year)",
   "timestamp": "3:27",
   "quote": "We heard that even within Anthropic, at that time, people were spending $100 a day on tokens, which, if you do the math, comes out to $20,000 or $30,000 a year.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Whale Rock invested in Anthropic at the $180 billion valuation round, in August 2025.",
   "subjects": [
    "Anthropic",
    "Whale Rock Capital Management"
   ],
   "value": "$180B valuation, August 2025",
   "timestamp": "3:27",
   "quote": "So we made the investment at the $180 valuation.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Anthropic's revenue went from $100 million to $1 billion on the way to $9 billion — numbers like nothing Whale Rock had ever seen.",
   "subjects": [
    "Anthropic"
   ],
   "value": "$100M → $1B → $9B revenue ramp",
   "timestamp": "8:37",
   "quote": "And then the numbers were like nothing we'd ever seen before. 100 to a billion on the way to nine.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Anthropic has roughly 14-15 million daily active users.",
   "subjects": [
    "Anthropic"
   ],
   "value": "14-15M DAUs",
   "timestamp": "8:37",
   "quote": "So Anthropic has something like 14 or 15 million DAUs.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Sundar Pichai said true AI usage is at 10 basis points of the world's knowledge workers.",
   "subjects": [
    "AI",
    "Google"
   ],
   "value": "10 bips of knowledge workers",
   "timestamp": "8:37",
   "quote": "I mean, Sunder said it's 10 bips of the knowledge workers of the world.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Anthropic currently has about half the compute it needs, before the anticipated surge in adoption.",
   "subjects": [
    "Anthropic"
   ],
   "value": "~50% of needed compute",
   "timestamp": "8:37",
   "quote": "So Anthropic has half of what they need right now.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Whale Rock does 2,000-3,000 face-to-face meetings with management teams per year, about 10-15% of them with private companies.",
   "subjects": [
    "Whale Rock Capital Management"
   ],
   "value": "2,000-3,000 meetings/year; 10-15% privates",
   "timestamp": "14:01",
   "quote": "So we do 2,000 to 3,000 face-to-face meetings with management teams a year, and about 10 or 15% of those are with Privates.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Whale Rock's first private investment was Stripe — a block bought from a VC seller in April 2020 at a disclosed ~$35 billion valuation, upsized to $100 million.",
   "subjects": [
    "Stripe",
    "Whale Rock Capital Management"
   ],
   "value": "$100M block at ~$35B valuation, April 2020",
   "timestamp": "14:01",
   "quote": "And then we were able to upsize that from the seller to a $100 million block.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "On Whale Rock's underwriting, NVIDIA in 2023 was bought at four times earnings, Tesla in 2019 at five times earnings, and Apple at four times earnings.",
   "subjects": [
    "NVIDIA",
    "Tesla",
    "Apple"
   ],
   "value": "NVIDIA 4x, Tesla 5x, Apple 4x forward earnings",
   "timestamp": "19:36",
   "quote": "When we were buying NVIDIA in 2023, we were paying four times earnings.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Whale Rock pitched Amazon for AWS at the 2013 Robinhood Investors Conference, arguing the bulls had no idea what they were sitting on.",
   "subjects": [
    "Amazon",
    "AWS",
    "Whale Rock Capital Management"
   ],
   "timestamp": "30:59",
   "quote": "One of our high points was we pitched Amazon for AWS at 2013 at the Robinhood Investors Conference, and we said the bulls have no idea what they're sitting on.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Anthropic is doing $30 billion in sales — an example of how fast S-curve companies reach scale.",
   "subjects": [
    "Anthropic"
   ],
   "value": "$30B in sales",
   "timestamp": "30:59",
   "quote": "all of a sudden Anthropic is doing 30 billion in sales",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Five years ago Whale Rock had 40-50% of its portfolio in software; it sold almost all of it and entered this year net short software, which helped in the first quarter.",
   "subjects": [
    "Whale Rock Capital Management",
    "enterprise software"
   ],
   "value": "from 40-50% long software to net short",
   "timestamp": "38:11",
   "quote": "Entering this year, we were net short. It really helped us in the first quarter.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "AI compute workloads are growing 10x every year, versus 25-40% annual workload growth in the cloud era that Moore's Law could absorb.",
   "subjects": [
    "AI"
   ],
   "value": "10x/year workload growth",
   "timestamp": "44:41",
   "quote": "Now you go to AI, the workloads are growing 10x every year.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Celestica was the sole supplier of the Google TPU server, and three years ago its stock traded at eight times earnings.",
   "subjects": [
    "Celestica",
    "Google"
   ],
   "value": "8x earnings; sole TPU server supplier",
   "timestamp": "44:41",
   "quote": "And then we noticed they were the sole supplier of the Google TPU server. Three years ago, the stock was trading at eight times earnings.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Celestica has roughly 50-60% share of the cloud Ethernet switch market, a crucial market for AI.",
   "subjects": [
    "Celestica"
   ],
   "value": "50-60% share of cloud Ethernet switches",
   "timestamp": "44:41",
   "quote": "they have like 50, 60 percent share of the cloud Ethernet switch market, which is a crucial market for AI",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "A liquid-cooled AI server is a $200,000-300,000 piece of machinery versus $5,000 for an old server.",
   "subjects": [
    "AI",
    "Celestica"
   ],
   "value": "$200-300k vs $5k per server",
   "timestamp": "44:41",
   "quote": "It's two or $300,000 piece of machinery, whereas an old server was $5,000.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "AI servers need 40-layer printed circuit boards versus 10 layers for a regular server, and very few PCB suppliers can make them.",
   "subjects": [
    "Elite Materials",
    "AI"
   ],
   "value": "40 layers vs 10",
   "timestamp": "44:41",
   "quote": "A regular server, you need 10 layers. These AI server, you need 40 layer, and there's very few PCB suppliers that can make this.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "A single new Microsoft data center contains enough fiber to circle the world four and a half times.",
   "subjects": [
    "Corning",
    "Microsoft"
   ],
   "value": "fiber to circle the world 4.5x in one data center",
   "timestamp": "44:41",
   "quote": "There's enough fiber to circle the world four and a half times in that one thing.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Every new NVIDIA chip or rack uses 50-125% more power, driving up ASPs for power-supply makers Delta and Advanced Energy.",
   "subjects": [
    "NVIDIA",
    "AI"
   ],
   "value": "+50-125% power per rack generation",
   "timestamp": "51:32",
   "quote": "But in the power supplies, every NVIDIA chip or rack uses 50 to 125% more power. That drives the ASPs of Delta and Advanced Energy.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Maine just banned data centers, and only 20% of people are optimistic about AI — evidence of the public-negativity and regulation risk.",
   "subjects": [
    "AI"
   ],
   "value": "20% of people optimistic about AI",
   "timestamp": "55:48",
   "quote": "I think Maine just banned data centers and only 20% of the people are optimistic about AI and potential for negative regulation.",
   "source": "Alex Sacerdote"
  },
  {
   "statement": "Whale Rock's new MegaCap Tech Fund picks the best 12-13 companies from the universe of the top 30 market caps globally; the firm is four months into it.",
   "subjects": [
    "WhaleRock MegaCap Tech Fund",
    "Whale Rock Capital Management"
   ],
   "value": "12-13 picks from top 30 global market caps",
   "timestamp": "1:04:04",
   "quote": "We created the WhaleRock Mega Cap Tech Fund, which is the universe of the top 30 market caps globally. Then we picked the 12 or 13 that are the best.",
   "source": "Alex Sacerdote"
  }
 ],
 "notable_quotes": [
  {
   "speaker": "Alex Sacerdote",
   "timestamp": "19:36",
   "quote": "The world doesn't think exponentially, and they're so focused on the next year, the next quarter.",
   "why": "The one-line thesis for why the S-curve framework keeps finding the best companies at single-digit PEs."
  },
  {
   "speaker": "Alex Sacerdote",
   "timestamp": "25:27",
   "quote": "It's okay to miss the first 100 percent.",
   "why": "Counterintuitive timing advice — when the top of the S-curve is half a trillion away, being late beats being wrong."
  },
  {
   "speaker": "Alex Sacerdote",
   "timestamp": "8:37",
   "quote": "And we talk about S-curve, we call this an L-curve, just straight up.",
   "why": "His coinage for AI's adoption curve — the central image of the episode's bull case."
  },
  {
   "speaker": "Alex Sacerdote",
   "timestamp": "44:41",
   "quote": "Not only are you creating tremendous unit growth, but we call it the decommoditization of the hardware industry.",
   "why": "Names the hardware renaissance thesis that drives Whale Rock's Celestica, Corning, and supply-chain positions."
  },
  {
   "speaker": "Alex Sacerdote",
   "timestamp": "54:09",
   "quote": "It's like, why does a casino teach people how to play blackjack? It's really hard to do.",
   "why": "His answer to why he shares his 'secret' framework publicly — the edge is in execution, not the idea."
  },
  {
   "speaker": "Alex Sacerdote",
   "timestamp": "1:00:29",
   "quote": "So the AI can be a great reporter. It can't pick into the future.",
   "why": "A leading AI bull's crisp limit on what AI does to his own profession."
  }
 ],
 "extracted_by": "agent",
 "prompt_version": "episode-extract@3",
 "_file": "invest-like-the-best-2026-06-09-alex-sacerdote-how-to-invest-through-technology-cycles.json"
}