Jun 9, 2026 · 1h 20m · invest-like-the-best
Why the AI Boom Is Just Getting Started · Invest Like The Best
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this episode of Invest Like The Best, Alex Sacerdote, founder and Portfolio Manager of Whale Rock Capital Management, discusses how technology S-curves, hardware infrastructure booms, and AI foundation model oligopolies drive massive investment returns. He outlines Whale Rock's rigorous primary research methodology, the ongoing disruption of traditional SaaS, and why mega-cap technology and AI compute represent unprecedented growth opportunities.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Patrick holds 14.3% of the talking time here. How this is scored →
Patrick as informed peer 5.7 Guest teaching 6.0 Guest disagreement 1.4 Patrick pushing back 2.4
speaking balance: gold is Patrick, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 1:00:50 Alex rejects complacency by highlighting model plateau risks
Alex forcefully pushes back against assumptions of guaranteed scaling by explaining that if frontier models hit a wall, open-source models will commoditize the layer and trigger a race to the bottom.
Hardest push from Patrick ▶ 1:03:05 Patrick challenges avoiding the application layerPatrick directly confronts Alex's positioning, pointing out that historically the application layer captured the majority of market capitalization rather than the infrastructure layer.
Biggest teaching moment ▶ 50:50 Alex details physical constraints in AI hardware supply chainsAlex educates the audience and host on the nuanced shift from commodity server hardware to bespoke 40-layer PCBs and liquid-cooled switches with compounding pricing power.
Patrick holds their own ▶ 40:04 Patrick formulates the non-technical ERP replacement thesisPatrick demonstrates sharp software domain expertise by articulating how low-barrier generative tooling threatens the core seat-based pricing model of legacy enterprise software.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Patrick as informed peer | Guest teaching | Guest disagreement | Patrick pushing back | Why |
|---|---|---|---|---|---|---|
| Episode Preview: Exponential Growth and AI S-Curves | 4 | 7 | 1 | 1 | Patrick sets up a broad runway for Alex to explain his highest conviction investment in Anthropic. Alex gives an extensive, data-rich masterclass on how LLM scaling laws, coding agent adoption, and enterprise penetration differ from historical cloud S-curves. | |
| Mid-Roll Sponsor Announcements: Ramp, WorkOS, and Rogo | 5 | 6 | 1 | 2 | Following initial sponsor announcements, Patrick probes how a traditional public equity investor wins allocations in hyper-competitive private rounds. Alex outlines their quantitative scuttlebutt approach on Stripe and Anthropic, demonstrating deep diligence rigor. | |
| The S-Curve Framework for Technology Adoption | 6 | 7 | 1 | 2 | Patrick asks targeted clarifying questions on timing inflections and exit criteria along the S-curve adoption model. Alex educates with historical precedents from Apple and AWS to contrasting the rapid adoption of radio versus friction-heavy dishwashers. | |
| Identifying Competitive Moats and AI Oligopolies | 6 | 6 | 2 | 4 | Patrick presses Alex on whether frontier model pure plays like Anthropic and OpenAI can sustain moats against long-term erosion. Alex counters by detailing scale advantages, recursive self-improvement loops, and platform tooling ecosystems. | |
| Disruption Risks in Traditional Enterprise Software | 7 | 5 | 2 | 3 | Patrick introduces the threat of non-technical operators building custom software replacements, questioning incumbent enterprise SaaS value. Alex agrees on software vulnerability, detailing Whale Rock's net-short stance while Patrick highlights network effects in tools like Slack. | |
| The Hardware Renaissance: Chips, Servers, and Data Centers | 5 | 8 | 1 | 1 | Patrick asks Alex to unpack his thesis on the hardware and semiconductor layers. Alex conducts a detailed technical tour of high-bandwidth memory, 40-layer PCBs, liquid cooling, and optical fiber upgrades across suppliers like Celestica and Corning. | |
| Mid-Roll Sponsor Announcements: Vanta and Ridgeline | 6 | 5 | 2 | 4 | Patrick pushes back against Alex's unabashed optimism, asking specifically what causes genuine concern or uncertainty in his AI thesis. Alex outlines potential headwinds, including public backlash, regulatory bottlenecks, and model improvement plateaus. | |
| Evaluating the AI Application Layer and Market Timing | 7 | 5 | 2 | 4 | Patrick challenges Alex on why he avoids the AI application layer when software historically captured the lion's share of value. Alex justifies his stance by arguing that application defensibility remains unproven in early cycle phases. | |
| The Whale Rock Research Engine and Scuttlebutt Methodology | 6 | 5 | 1 | 2 | Patrick inquires into Whale Rock's internal research evaluation process. Alex highlights the enduring necessity of Philip Fisher-style scuttlebutt, customer interviews, and deep human domain expertise over pure AI-automated research. | |
| Structuring Fund Products and Large-Cap Tech Alpha | 5 | 6 | 1 | 1 | Patrick asks Alex about structuring investment products for LPs and capturing alpha in large-cap tech. Alex details institutional underweights in mega-cap winners before concluding with a tribute to his late father's mentorship. |
Statements from this episode (24)
Sacerdote: Google is one of Whale Rock's largest positions
“We beloved Google as well. It's one of our largest positions”
Sacerdote: AI coding tools represent a $500B market opportunity
“And if you think about how many coders there are in the world, twenty million, you've got a half a trillion dollar market just from coding alone.”
Sacerdote: Anthropic has 14 to 15 million daily active users
“Anthropic has something like 14 or fifteen million DAUs.”
Sacerdote: Enterprise AI adoption will reach 15% within four years
“You're gonna go from 10 bips to one, to two or three percent, to five percent, to 15% in the next four years”
Sacerdote: Anthropic has only half the compute capacity it needs
“Anthropic has half of what they need right now”
Sacerdote: Whale Rock passed on Anthropic at a $60B valuation
“We actually, we had a look at the sixty billion dollar round, and we didn't do it. We didn't know the company as well, and we The gross margins were negative, and frankly, we hadn't seen coding explode the way it had.”
Sacerdote: The global unicorn market is bigger than the UK and German stock markets
“We are in this period where the unicorn market is bigger than most stock markets in Europe. Maybe even combined. It's definitely bigger than Germany. It's definitely bigger than the UK.”
Sacerdote: Whale Rock bought a $100M secondary block in Stripe in April 2020
“I get a call from him during COVID in April of 2020. We knew a lot about Stripe. We didn't have the full financials, but we knew enough that at that valuation, I think it was thirty five billion, we knew they had, they disclosed we had over half a trillion of …”
Sacerdote: Whale Rock bought Nvidia in 2023 at four times earnings
“When we were buying Nvidia in 2023, we were paying four times earnings.”
Sacerdote: Whale Rock bought Tesla in 2019 at five times earnings
“When we bought Tesla in 2019, for the car S-curve, we were paying five times earnings.”
Sacerdote: Exponential growth ends once technology hits 30% to 40% penetration
“Generally, you want to when something gets to sort of 30, 40% penetrated, then you stop having exponential growth, which means the sell side catches up, and there's no longer big beats.”
Sacerdote: Top two or three AI foundation model companies will maintain dominance
“There's like, 50 companies trying to do that, and they all have fallen away, and two or three have emerged at the top. And there's a lot of reasons to think they will continue to hold their position.”
Sacerdote: AI market will reach $3T to $5T
“You know, we just said cloud, you know, maybe cloud's eight hundred billion. This might be, you know, we now think three to five, but there's higher risk, higher reward.”
Whale Rock sold almost all application software and went net short
“We basically sold almost all of our software, almost all of our application software. We still have one or two small ones, but entering this year, we were actually net, net short, and it really helped us in the first quarter.”
Sacerdote: Celestica was the sole supplier for Google's TPU servers
“Celestica's heritage was IBM supercomputing, and they kept all that talent and skill, and then we noticed they were the sole supplier of the Google TPU server”
Sacerdote: Celestica holds 50% to 60% of cloud Ethernet switch market
“And they have, like, 50, 60% share of the cloud ethernet switch market, which is a crucial market for AI, because AI is incredibly network intensive.”
Sacerdote: Transitioning GPU rack scale-up to fiber will 2x–3x Corning's market
“Eventually, that'll be done over fiber. When that happens,
That two to three X's Corning's opportunity.”
Sacerdote: Supply chain is 30% short across DRAM, NAND, and PCBs
“We're already short, you know, the DRAM market, the NAND market, the PCB, we're already, like, 30, we're 30% short all these things as we are now.”
Sacerdote: Semiconductor Analysts Missed AI Boom by Ignoring Foundation Models
“Frankly, if you're just a semi-analyst, so many semi-analysts missed it because They didn't see what was really happening at the foundational model layer.”
Sacerdote: Stalled Frontier AI Models Will Spark Race to the Bottom
“In AI, if Anthropix sort of hits a wall and stops improving, or open AI, then the open source models will catch up. And then it might be a race to the bottom, and it might be, you know, it won't be good for the stocks, probably. It could be good for the chip c…”
Sacerdote: Application layer typically emerges three to four years after platform infrastructure
“We think the application layer, well, A, it always comes later. So, you know, the first three or four years of the iPhone, and then the applications really took time. So maybe it's just starting.”
Sacerdote's 'tripod' framework drives Whale Rock's investment conviction
“I call it the tripod. When I like something, And then my analyst likes it. And then somebody who I really respect also likes it. That's three legs of the stool can really help the conviction.”
Sacerdote: Underweighting mega-cap tech is betting against the digital economy
“In tech, the leader usually grows bigger and wins and develops very high market share quickly, and there's great competitive advantages. And they're also selling around the globe, so this is going to lead to massive profit pools and massive market caps, and it…”
Sacerdote: Mega-cap tech offers massive alpha over generalist portfolio managers
“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, but it takes a hundred people, a hundred diversified PMs to realize Google's not a loser, it's a w…”