Sep 5, 2025 · 1h 10m · 20growth

20Growth: Meta CMO Alex Schultz on How All Founders Have to Change Their Marketing Playbook in a World of AI | Is AI Plateauing, What it Means if China Wins the AI Race and Why Zuck is a Generational Leader

Alex Schultz · 46m spoken Harry Stebbings · 18m spoken
0:00 / 0:00

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this episode of 20Growth, Meta CMO and VP of Analytics Alex Schultz joins Harry Stebbings to discuss modern marketing principles, AI scaling laws, global tech geopolitics, and Meta's strategic transformations. Schultz shares key insights on growth team architecture, AI engine optimization, and why all marketing ultimately functions as performance marketing.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Harry holds 27.3% of the talking time here. How this is scored →

Harry as informed peer 4.2 Guest teaching 5.0 Guest disagreement 2.4 Harry pushing back 3.6
05100:0015:0030:0045:001:00:003:44–7:16 · Harry as informed peer 3/10 Defining the True North Star: Goals vs. Metrics Harry opens by asking how leaders should select a single North Star metric to guide company growth. Alex immediately reframes the premise, clarifying that a North Star is a goal rather than a metric, as metrics are inherently imperfect approximations. Alex then educates on why early-stage startups pre-PMF must prioritize retention over acquisition metrics like MAU.7:16–12:11 · Harry as informed peer 3/10 Growth Team Organizational Structure & Marginal User Optimization Harry asks how to design product features for a broad user base without alienating core power users. Alex explains how Meta's growth team balances marginal user needs against power user preferences, using Instagram notification defaults as a primary case study. Alex also highlights organizational pitfalls, warning early-stage startups against creating dedicated growth teams too early.12:11–23:15 · Harry as informed peer 5/10 AI Scaling Laws, One-Person Enterprise, and Data Center Infrastructure When Alex suggests AI will enable one-person billion-dollar enterprises, Harry sharply pushes back, calling the concept the most ridiculous statement he has heard and citing practical operational obstacles like enterprise sales and physical meetings. Alex stands his ground, drawing on semiconductor evolution from Chip War, data center physics, and continental-scale training infrastructure to defend his timeline.23:15–29:12 · Harry as informed peer 5/10 Scenarios for AI Superintelligence and the Future Horizon Alex summarizes three prominent essays outlining potential AI futures ranging from catastrophic doom to gentle singularity. Harry offers a perceptive thesis that model founders hype aggressive timelines because they desperately require continuous capital raises, whereas self-funded figures like Demis Hassabis and Mark Zuckerberg can afford nuanced timelines. Alex strongly agrees with Harry's analysis.29:12–33:59 · Harry as informed peer 4/10 Geopolitics of AI: US, China, and Europe's Strategic Positioning Harry asks whether Western observers radically underestimate Chinese AI capabilities given their rapid distillation efforts. Alex pushes back on the framing, noting that West Coast tech leaders discuss Chinese advancements constantly and pointing out that Europe is the region truly absent from the race. Alex also candidly addresses Llama 4's performance mixed reception relative to Llama 3.33:59–43:38 · Harry as informed peer 4/10 Content Creation, Infinite AI Supply, and Channel Dynamics Harry expresses concern that infinite AI content supply will diminish content value. Alex reframes the problem, explaining that while content supply is infinite, human attention remains strictly scarce, making human authenticity and true expertise premium assets. Alex then outlines how AI-generated ad click targets increase advertiser CTR by six percent.43:38–48:32 · Harry as informed peer 4/10 Performance Marketing vs. Brand & Meta's Corporate Rebranding Harry brings up Revolut founder Nik Storonsky's view on performance versus brand marketing. Alex asserts that all marketing is performance marketing, explaining that brand marketing is simply direct response operating on longer time horizons and harder measurement metrics. He details how Meta's corporate rebrand away from Facebook allowed sub-brands like WhatsApp, Ray-Ban Meta, and Quest to flourish independently.48:32–51:07 · Harry as informed peer 6/10 Hardware Form Factors, AI Engine Optimization, and Agentic Actions Harry queries how SEO adapts to foundation models, referencing his own seed investment in AI Engine Optimization startup Peak.ai while questioning whether AIO offers a large venture market cap. Alex explains that if AIO tools merely optimize text mentions, the market is small, but if they influence automated AI agent purchasing decisions, the total addressable market is vast.51:07–55:40 · Harry as informed peer 4/10 Meta's Feed Transformation and Navigating Strategic Disruption Harry asks what advice Alex would give Google CEO Sundar Pichai on navigating disruption. Alex shares Meta's internal transformation, revealing that 70% of content consumed on Meta platforms today is un-followed recommended content driven by AI algorithms rather than the traditional social graph, reflecting massive willingness to self-cannibalize.55:40–1:07:01 · Harry as informed peer 4/10 Quick Fire Segment: Hyperscalers, Quantum Risks, Business Messaging, and Threads In the quick-fire segment, Harry directly challenges the narrative that Threads is a success, asking why no VC or tech insider in their social circle uses it. Alex counters that elite tech VCs live in a Twitter bubble, while Threads is a blowout success in major global markets like Japan and Taiwan among general consumer demographics. Alex also reveals Meta's underappreciated $10B+ business messaging revenue.3:44–7:16 · Guest teaching 5/10 Defining the True North Star: Goals vs. Metrics Harry opens by asking how leaders should select a single North Star metric to guide company growth. Alex immediately reframes the premise, clarifying that a North Star is a goal rather than a metric, as metrics are inherently imperfect approximations. Alex then educates on why early-stage startups pre-PMF must prioritize retention over acquisition metrics like MAU.7:16–12:11 · Guest teaching 5/10 Growth Team Organizational Structure & Marginal User Optimization Harry asks how to design product features for a broad user base without alienating core power users. Alex explains how Meta's growth team balances marginal user needs against power user preferences, using Instagram notification defaults as a primary case study. Alex also highlights organizational pitfalls, warning early-stage startups against creating dedicated growth teams too early.12:11–23:15 · Guest teaching 6/10 AI Scaling Laws, One-Person Enterprise, and Data Center Infrastructure When Alex suggests AI will enable one-person billion-dollar enterprises, Harry sharply pushes back, calling the concept the most ridiculous statement he has heard and citing practical operational obstacles like enterprise sales and physical meetings. Alex stands his ground, drawing on semiconductor evolution from Chip War, data center physics, and continental-scale training infrastructure to defend his timeline.23:15–29:12 · Guest teaching 4/10 Scenarios for AI Superintelligence and the Future Horizon Alex summarizes three prominent essays outlining potential AI futures ranging from catastrophic doom to gentle singularity. Harry offers a perceptive thesis that model founders hype aggressive timelines because they desperately require continuous capital raises, whereas self-funded figures like Demis Hassabis and Mark Zuckerberg can afford nuanced timelines. Alex strongly agrees with Harry's analysis.29:12–33:59 · Guest teaching 5/10 Geopolitics of AI: US, China, and Europe's Strategic Positioning Harry asks whether Western observers radically underestimate Chinese AI capabilities given their rapid distillation efforts. Alex pushes back on the framing, noting that West Coast tech leaders discuss Chinese advancements constantly and pointing out that Europe is the region truly absent from the race. Alex also candidly addresses Llama 4's performance mixed reception relative to Llama 3.33:59–43:38 · Guest teaching 5/10 Content Creation, Infinite AI Supply, and Channel Dynamics Harry expresses concern that infinite AI content supply will diminish content value. Alex reframes the problem, explaining that while content supply is infinite, human attention remains strictly scarce, making human authenticity and true expertise premium assets. Alex then outlines how AI-generated ad click targets increase advertiser CTR by six percent.43:38–48:32 · Guest teaching 5/10 Performance Marketing vs. Brand & Meta's Corporate Rebranding Harry brings up Revolut founder Nik Storonsky's view on performance versus brand marketing. Alex asserts that all marketing is performance marketing, explaining that brand marketing is simply direct response operating on longer time horizons and harder measurement metrics. He details how Meta's corporate rebrand away from Facebook allowed sub-brands like WhatsApp, Ray-Ban Meta, and Quest to flourish independently.48:32–51:07 · Guest teaching 5/10 Hardware Form Factors, AI Engine Optimization, and Agentic Actions Harry queries how SEO adapts to foundation models, referencing his own seed investment in AI Engine Optimization startup Peak.ai while questioning whether AIO offers a large venture market cap. Alex explains that if AIO tools merely optimize text mentions, the market is small, but if they influence automated AI agent purchasing decisions, the total addressable market is vast.51:07–55:40 · Guest teaching 5/10 Meta's Feed Transformation and Navigating Strategic Disruption Harry asks what advice Alex would give Google CEO Sundar Pichai on navigating disruption. Alex shares Meta's internal transformation, revealing that 70% of content consumed on Meta platforms today is un-followed recommended content driven by AI algorithms rather than the traditional social graph, reflecting massive willingness to self-cannibalize.55:40–1:07:01 · Guest teaching 5/10 Quick Fire Segment: Hyperscalers, Quantum Risks, Business Messaging, and Threads In the quick-fire segment, Harry directly challenges the narrative that Threads is a success, asking why no VC or tech insider in their social circle uses it. Alex counters that elite tech VCs live in a Twitter bubble, while Threads is a blowout success in major global markets like Japan and Taiwan among general consumer demographics. Alex also reveals Meta's underappreciated $10B+ business messaging revenue.3:44–7:16 · Guest disagreement 2/10 Defining the True North Star: Goals vs. Metrics Harry opens by asking how leaders should select a single North Star metric to guide company growth. Alex immediately reframes the premise, clarifying that a North Star is a goal rather than a metric, as metrics are inherently imperfect approximations. Alex then educates on why early-stage startups pre-PMF must prioritize retention over acquisition metrics like MAU.7:16–12:11 · Guest disagreement 1/10 Growth Team Organizational Structure & Marginal User Optimization Harry asks how to design product features for a broad user base without alienating core power users. Alex explains how Meta's growth team balances marginal user needs against power user preferences, using Instagram notification defaults as a primary case study. Alex also highlights organizational pitfalls, warning early-stage startups against creating dedicated growth teams too early.12:11–23:15 · Guest disagreement 5/10 AI Scaling Laws, One-Person Enterprise, and Data Center Infrastructure When Alex suggests AI will enable one-person billion-dollar enterprises, Harry sharply pushes back, calling the concept the most ridiculous statement he has heard and citing practical operational obstacles like enterprise sales and physical meetings. Alex stands his ground, drawing on semiconductor evolution from Chip War, data center physics, and continental-scale training infrastructure to defend his timeline.23:15–29:12 · Guest disagreement 2/10 Scenarios for AI Superintelligence and the Future Horizon Alex summarizes three prominent essays outlining potential AI futures ranging from catastrophic doom to gentle singularity. Harry offers a perceptive thesis that model founders hype aggressive timelines because they desperately require continuous capital raises, whereas self-funded figures like Demis Hassabis and Mark Zuckerberg can afford nuanced timelines. Alex strongly agrees with Harry's analysis.29:12–33:59 · Guest disagreement 4/10 Geopolitics of AI: US, China, and Europe's Strategic Positioning Harry asks whether Western observers radically underestimate Chinese AI capabilities given their rapid distillation efforts. Alex pushes back on the framing, noting that West Coast tech leaders discuss Chinese advancements constantly and pointing out that Europe is the region truly absent from the race. Alex also candidly addresses Llama 4's performance mixed reception relative to Llama 3.33:59–43:38 · Guest disagreement 2/10 Content Creation, Infinite AI Supply, and Channel Dynamics Harry expresses concern that infinite AI content supply will diminish content value. Alex reframes the problem, explaining that while content supply is infinite, human attention remains strictly scarce, making human authenticity and true expertise premium assets. Alex then outlines how AI-generated ad click targets increase advertiser CTR by six percent.43:38–48:32 · Guest disagreement 2/10 Performance Marketing vs. Brand & Meta's Corporate Rebranding Harry brings up Revolut founder Nik Storonsky's view on performance versus brand marketing. Alex asserts that all marketing is performance marketing, explaining that brand marketing is simply direct response operating on longer time horizons and harder measurement metrics. He details how Meta's corporate rebrand away from Facebook allowed sub-brands like WhatsApp, Ray-Ban Meta, and Quest to flourish independently.48:32–51:07 · Guest disagreement 2/10 Hardware Form Factors, AI Engine Optimization, and Agentic Actions Harry queries how SEO adapts to foundation models, referencing his own seed investment in AI Engine Optimization startup Peak.ai while questioning whether AIO offers a large venture market cap. Alex explains that if AIO tools merely optimize text mentions, the market is small, but if they influence automated AI agent purchasing decisions, the total addressable market is vast.51:07–55:40 · Guest disagreement 1/10 Meta's Feed Transformation and Navigating Strategic Disruption Harry asks what advice Alex would give Google CEO Sundar Pichai on navigating disruption. Alex shares Meta's internal transformation, revealing that 70% of content consumed on Meta platforms today is un-followed recommended content driven by AI algorithms rather than the traditional social graph, reflecting massive willingness to self-cannibalize.55:40–1:07:01 · Guest disagreement 3/10 Quick Fire Segment: Hyperscalers, Quantum Risks, Business Messaging, and Threads In the quick-fire segment, Harry directly challenges the narrative that Threads is a success, asking why no VC or tech insider in their social circle uses it. Alex counters that elite tech VCs live in a Twitter bubble, while Threads is a blowout success in major global markets like Japan and Taiwan among general consumer demographics. Alex also reveals Meta's underappreciated $10B+ business messaging revenue.3:44–7:16 · Harry pushing back 2/10 Defining the True North Star: Goals vs. Metrics Harry opens by asking how leaders should select a single North Star metric to guide company growth. Alex immediately reframes the premise, clarifying that a North Star is a goal rather than a metric, as metrics are inherently imperfect approximations. Alex then educates on why early-stage startups pre-PMF must prioritize retention over acquisition metrics like MAU.7:16–12:11 · Harry pushing back 2/10 Growth Team Organizational Structure & Marginal User Optimization Harry asks how to design product features for a broad user base without alienating core power users. Alex explains how Meta's growth team balances marginal user needs against power user preferences, using Instagram notification defaults as a primary case study. Alex also highlights organizational pitfalls, warning early-stage startups against creating dedicated growth teams too early.12:11–23:15 · Harry pushing back 7/10 AI Scaling Laws, One-Person Enterprise, and Data Center Infrastructure When Alex suggests AI will enable one-person billion-dollar enterprises, Harry sharply pushes back, calling the concept the most ridiculous statement he has heard and citing practical operational obstacles like enterprise sales and physical meetings. Alex stands his ground, drawing on semiconductor evolution from Chip War, data center physics, and continental-scale training infrastructure to defend his timeline.23:15–29:12 · Harry pushing back 3/10 Scenarios for AI Superintelligence and the Future Horizon Alex summarizes three prominent essays outlining potential AI futures ranging from catastrophic doom to gentle singularity. Harry offers a perceptive thesis that model founders hype aggressive timelines because they desperately require continuous capital raises, whereas self-funded figures like Demis Hassabis and Mark Zuckerberg can afford nuanced timelines. Alex strongly agrees with Harry's analysis.29:12–33:59 · Harry pushing back 4/10 Geopolitics of AI: US, China, and Europe's Strategic Positioning Harry asks whether Western observers radically underestimate Chinese AI capabilities given their rapid distillation efforts. Alex pushes back on the framing, noting that West Coast tech leaders discuss Chinese advancements constantly and pointing out that Europe is the region truly absent from the race. Alex also candidly addresses Llama 4's performance mixed reception relative to Llama 3.33:59–43:38 · Harry pushing back 3/10 Content Creation, Infinite AI Supply, and Channel Dynamics Harry expresses concern that infinite AI content supply will diminish content value. Alex reframes the problem, explaining that while content supply is infinite, human attention remains strictly scarce, making human authenticity and true expertise premium assets. Alex then outlines how AI-generated ad click targets increase advertiser CTR by six percent.43:38–48:32 · Harry pushing back 3/10 Performance Marketing vs. Brand & Meta's Corporate Rebranding Harry brings up Revolut founder Nik Storonsky's view on performance versus brand marketing. Alex asserts that all marketing is performance marketing, explaining that brand marketing is simply direct response operating on longer time horizons and harder measurement metrics. He details how Meta's corporate rebrand away from Facebook allowed sub-brands like WhatsApp, Ray-Ban Meta, and Quest to flourish independently.48:32–51:07 · Harry pushing back 4/10 Hardware Form Factors, AI Engine Optimization, and Agentic Actions Harry queries how SEO adapts to foundation models, referencing his own seed investment in AI Engine Optimization startup Peak.ai while questioning whether AIO offers a large venture market cap. Alex explains that if AIO tools merely optimize text mentions, the market is small, but if they influence automated AI agent purchasing decisions, the total addressable market is vast.51:07–55:40 · Harry pushing back 3/10 Meta's Feed Transformation and Navigating Strategic Disruption Harry asks what advice Alex would give Google CEO Sundar Pichai on navigating disruption. Alex shares Meta's internal transformation, revealing that 70% of content consumed on Meta platforms today is un-followed recommended content driven by AI algorithms rather than the traditional social graph, reflecting massive willingness to self-cannibalize.55:40–1:07:01 · Harry pushing back 5/10 Quick Fire Segment: Hyperscalers, Quantum Risks, Business Messaging, and Threads In the quick-fire segment, Harry directly challenges the narrative that Threads is a success, asking why no VC or tech insider in their social circle uses it. Alex counters that elite tech VCs live in a Twitter bubble, while Threads is a blowout success in major global markets like Japan and Taiwan among general consumer demographics. Alex also reveals Meta's underappreciated $10B+ business messaging revenue.

speaking balance: gold is Harry, purple is the guest (3 minute bins)

0:00 · Harry 92.7% · guest 7.3%0:00 · Harry 92.7% · guest 7.3%3:00 · Harry 58.8% · guest 41.2%3:00 · Harry 58.8% · guest 41.2%6:00 · Harry 13.7% · guest 86.3%6:00 · Harry 13.7% · guest 86.3%9:00 · Harry 12.6% · guest 87.4%9:00 · Harry 12.6% · guest 87.4%12:00 · Harry 30.7% · guest 69.3%12:00 · Harry 30.7% · guest 69.3%15:00 · Harry 16.2% · guest 83.8%15:00 · Harry 16.2% · guest 83.8%18:00 · Harry 8% · guest 92%18:00 · Harry 8% · guest 92%21:00 · Harry 8.8% · guest 91.2%21:00 · Harry 8.8% · guest 91.2%24:00 · Harry 37.7% · guest 62.3%24:00 · Harry 37.7% · guest 62.3%27:00 · Harry 34% · guest 66%27:00 · Harry 34% · guest 66%30:00 · Harry 13.9% · guest 86.1%30:00 · Harry 13.9% · guest 86.1%33:00 · Harry 13.7% · guest 86.3%33:00 · Harry 13.7% · guest 86.3%36:00 · Harry 33.8% · guest 66.2%36:00 · Harry 33.8% · guest 66.2%39:00 · Harry 7.4% · guest 92.6%39:00 · Harry 7.4% · guest 92.6%42:00 · Harry 35.5% · guest 64.5%42:00 · Harry 35.5% · guest 64.5%45:00 · Harry 16.6% · guest 83.4%45:00 · Harry 16.6% · guest 83.4%48:00 · Harry 19% · guest 81%48:00 · Harry 19% · guest 81%51:00 · Harry 9.8% · guest 90.2%51:00 · Harry 9.8% · guest 90.2%54:00 · Harry 21.9% · guest 78.1%54:00 · Harry 21.9% · guest 78.1%57:00 · Harry 12.9% · guest 87.1%57:00 · Harry 12.9% · guest 87.1%1:00:00 · Harry 21.3% · guest 78.7%1:00:00 · Harry 21.3% · guest 78.7%1:03:00 · Harry 7.2% · guest 92.8%1:03:00 · Harry 7.2% · guest 92.8%1:06:00 · Harry 75.7% · guest 24.3%1:06:00 · Harry 75.7% · guest 24.3%1:09:00 · Harry 100% · guest 0%1:09:00 · Harry 100% · guest 0%
Sharpest disagreement ▶ 12:55 Rebuffing Skepticism on One-Person Enterprises

Alex firmly rejects Harry's dismissive reaction to one-person mega-companies, insisting that the shift is an inevitable certainty when intelligence costs collapse.

Hardest push from Harry ▶ 12:55 Calling One-Person Mega-Company Concept 'Ridiculous'

Harry forcefully refuses Alex's framing on one-person enterprise scale, calling it the most ridiculous statement and outlining real-world sales and operational friction.

Biggest teaching moment ▶ 4:25 North Star is a Goal, Not a Metric

Alex immediately corrects Harry's opening question by explaining that a North Star must be a clear conceptual goal rather than a quantitative metric, which is always flawed.

Harry holds his own ▶ 25:29 Capital Needs Dictate AI Timeline Narratives

Harry articulates a sophisticated venture thesis connecting model hype directly to fundraising imperatives, which Alex enthusiastically confirms.

the scores for every segment, with the reasoning behind each
ChapterTopicHarry as informed peerGuest teachingGuest disagreementHarry pushing backWhy
Defining the True North Star: Goals vs. Metrics 3522 Harry opens by asking how leaders should select a single North Star metric to guide company growth. Alex immediately reframes the premise, clarifying that a North Star is a goal rather than a metric, as metrics are inherently imperfect approximations. Alex then educates on why early-stage startups pre-PMF must prioritize retention over acquisition metrics like MAU.
Growth Team Organizational Structure & Marginal User Optimization 3512 Harry asks how to design product features for a broad user base without alienating core power users. Alex explains how Meta's growth team balances marginal user needs against power user preferences, using Instagram notification defaults as a primary case study. Alex also highlights organizational pitfalls, warning early-stage startups against creating dedicated growth teams too early.
AI Scaling Laws, One-Person Enterprise, and Data Center Infrastructure 5657 When Alex suggests AI will enable one-person billion-dollar enterprises, Harry sharply pushes back, calling the concept the most ridiculous statement he has heard and citing practical operational obstacles like enterprise sales and physical meetings. Alex stands his ground, drawing on semiconductor evolution from Chip War, data center physics, and continental-scale training infrastructure to defend his timeline.
Scenarios for AI Superintelligence and the Future Horizon 5423 Alex summarizes three prominent essays outlining potential AI futures ranging from catastrophic doom to gentle singularity. Harry offers a perceptive thesis that model founders hype aggressive timelines because they desperately require continuous capital raises, whereas self-funded figures like Demis Hassabis and Mark Zuckerberg can afford nuanced timelines. Alex strongly agrees with Harry's analysis.
Geopolitics of AI: US, China, and Europe's Strategic Positioning 4544 Harry asks whether Western observers radically underestimate Chinese AI capabilities given their rapid distillation efforts. Alex pushes back on the framing, noting that West Coast tech leaders discuss Chinese advancements constantly and pointing out that Europe is the region truly absent from the race. Alex also candidly addresses Llama 4's performance mixed reception relative to Llama 3.
Content Creation, Infinite AI Supply, and Channel Dynamics 4523 Harry expresses concern that infinite AI content supply will diminish content value. Alex reframes the problem, explaining that while content supply is infinite, human attention remains strictly scarce, making human authenticity and true expertise premium assets. Alex then outlines how AI-generated ad click targets increase advertiser CTR by six percent.
Performance Marketing vs. Brand & Meta's Corporate Rebranding 4523 Harry brings up Revolut founder Nik Storonsky's view on performance versus brand marketing. Alex asserts that all marketing is performance marketing, explaining that brand marketing is simply direct response operating on longer time horizons and harder measurement metrics. He details how Meta's corporate rebrand away from Facebook allowed sub-brands like WhatsApp, Ray-Ban Meta, and Quest to flourish independently.
Hardware Form Factors, AI Engine Optimization, and Agentic Actions 6524 Harry queries how SEO adapts to foundation models, referencing his own seed investment in AI Engine Optimization startup Peak.ai while questioning whether AIO offers a large venture market cap. Alex explains that if AIO tools merely optimize text mentions, the market is small, but if they influence automated AI agent purchasing decisions, the total addressable market is vast.
Meta's Feed Transformation and Navigating Strategic Disruption 4513 Harry asks what advice Alex would give Google CEO Sundar Pichai on navigating disruption. Alex shares Meta's internal transformation, revealing that 70% of content consumed on Meta platforms today is un-followed recommended content driven by AI algorithms rather than the traditional social graph, reflecting massive willingness to self-cannibalize.
Quick Fire Segment: Hyperscalers, Quantum Risks, Business Messaging, and Threads 4535 In the quick-fire segment, Harry directly challenges the narrative that Threads is a success, asking why no VC or tech insider in their social circle uses it. Alex counters that elite tech VCs live in a Twitter bubble, while Threads is a blowout success in major global markets like Japan and Taiwan among general consumer demographics. Alex also reveals Meta's underappreciated $10B+ business messaging revenue.

Statements from this episode (37)

Insight
Alex Schultz: All marketing is ultimately performance marketing
“Performance marketing is all marketing. So people make this distinction that you have brand marketing and performance, you have brand and direct response, and all marketing is performance marketing.”
Alex Schultz Sep 5, 2025 ▶ 43:39
Insight
Alex Schultz: A company North Star is a goal, not a metric
“Well, the most important thing is the North Star is not a metric. So the North Star is your goal. Your goal is like, what are you trying to achieve?”
Alex Schultz Sep 5, 2025 ▶ 4:26
Insight
Alex Schultz: Retention is the only metric that matters pre-product-market fit
“Metrics, pre-product market fit, I think the only metric you care about In consumer and SaaS is retention. Like, that's the only metric that you should care about, is do you create a product that people keep using?”
Alex Schultz Sep 5, 2025 ▶ 6:23
Insight
Alex Schultz: Tech employees naturally build products for power users
“The general company, in my experience, every company, whether you talk Amazon, whether you talk Google, whether you talk Meta, whether you talk Airbnb, they, as employees, tend to be power users of the product, and they, by nature, optimize for people like the…”
Alex Schultz Sep 5, 2025 ▶ 8:49
Assertion Supported
Alex Schultz: Less than 1% of Meta employees work on growth
“So across our nearly a 100,000 employees, we have less than one percent of the employees in the growth team.”
Alex Schultz Sep 5, 2025 ▶ 11:07
Opinion
Alex Schultz: Hiring a dedicated growth team at 50 employees is silly
“So many companies try and hire a growth team at, like, 50 employees, and it's just silly.”
Alex Schultz Sep 5, 2025 ▶ 12:07
Disclosure
Alex Schultz: Meta is building a data center the size of Manhattan
“What we're doing in Louisiana, where we're building a data center the size of Manhattan”
Alex Schultz Sep 5, 2025 ▶ 16:15
Prediction Not checkable as stated
Alex Schultz: AI data center supply chain lags demand by 18 months
“I think on most of this it's like an 18 month lag till the system catches up with the demand.”
Alex Schultz Sep 5, 2025 ▶ 18:57
Prediction Open · timeframe Sep 2030
Alex Schultz: A one-person startup reaching tens of millions is inevitable
“Instagram was seven people and got to tens of millions of active users. I don't see why there won't be the next Instagram that's one person and gets to tens of millions of active users. In fact, I think it's inevitable.”
Alex Schultz Sep 5, 2025 ▶ 22:54
Prediction Not checkable as stated
Alex Schultz: AI development will hit plateaus before reaching superintelligence
“I would be shocked if we didn't hit a plateau on the way, but yeah.”
Alex Schultz Sep 5, 2025 ▶ 26:31
Assertion Not checkable as stated
Alex Schultz: AI chatbot adoption fundamentally changes user search behavior
“When people are using those, their behavior in search changes dramatically.”
Alex Schultz Sep 5, 2025 ▶ 28:18
Assertion Not checkable as stated
Alex Schultz: Mark Zuckerberg's defining superpower is continuous learning
“He listens in meetings more than he talks by a lot. He asks smart people to give him input before he makes decisions. He goes out and spends an awful lot of time learning. I think his superpower is learning.”
Alex Schultz Sep 5, 2025 ▶ 29:03
Opinion
Alex Schultz: Europe is not in the global AI race
“Europe's not in the race right now. I mean, maybe it can find a way to be in the race, but I don't think it's in the race. You've got the US and China as the two groups that are leading in AI.”
Alex Schultz Sep 5, 2025 ▶ 29:53
Disclosure
Alex Schultz: Meta supported Apple against UK government encryption backdoor demands
“That's why we came out in support of Apple. That's why other companies have come out in support of Apple in that situation. Despite the fact, as companies, we've had a lot of disagreements. We supported Apple in that.”
Alex Schultz Sep 5, 2025 ▶ 31:32
Assertion Contradicted
Alex Schultz admits Meta's Llama 4 missed the leading edge
“It's pretty clear Llama was not, like, Llama four wasn't leading edge where Llama three was. So, you know, our big release this year was not a slam dunk, but our big release last year was, and I'm pretty confident our next big release will be again.”
Alex Schultz Sep 5, 2025 ▶ 32:37
Opinion
Alex Schultz: Meta may reconsider open-sourcing extreme AI capabilities
“We've said that when it gets to the cutting edge, like the absolute cutting edge, the bleeding edge, There, we don't think you should be necessarily releasing open source, and we'll think about that. So I think at the most extreme capabilities, I don't know th…”
Alex Schultz Sep 5, 2025 ▶ 33:22
Prediction Not checkable as stated
Alex Schultz: Creative spark will be the last trait AI automates
“The creative spark is probably the last thing that gets automated.”
Alex Schultz Sep 5, 2025 ▶ 34:24
Insight
Alex Schultz: Humans using AI will replace workers, not AI itself
“Unless things get really weird, you're not going to be replaced by AI, you're going to be replaced by someone doing your job using AI.”
Alex Schultz Sep 5, 2025 ▶ 36:49
Assertion Open · timeframe Sep 2026
Alex Schultz: Meta's AI sticker click targets increase ad CTR by 6%
“When advertisers take advantage of that, they get a six percent boost in click-through rate and a commensurate increase in conversion rate.”
Alex Schultz Sep 5, 2025 ▶ 39:49
Assertion Not checkable as stated
Alex Schultz: Nike's massive shift to a digital-first strategy went horribly
“Nike did this massive transition to digital first, right? And it went horribly.”
Alex Schultz Sep 5, 2025 ▶ 40:35
Assertion Supported
Alex Schultz: Coca-Cola shifted ad buying from mostly offline to mostly online
“Coke have changed from being vast majority offline, just I think five years ago, just before the pandemic, in terms of their ad buying, to vast majority online now ad buying.”
Alex Schultz Sep 5, 2025 ▶ 40:48
Assertion Partly supported
Alex Schultz: Meta shifted from a falling brand to a rising brand
“We've actually moved up tremendously in terms of brand sentiment. You think where we were five years ago, and think where we are today, people don't look at this stuff, obviously I do, and we were literally a falling brand, and now we're a rising brand.”
Alex Schultz Sep 5, 2025 ▶ 44:09
Prediction Open · timeframe Sep 2030
Alex Schultz: Smartphones won't disappear because AI wearables need compute pucks
“I would be surprised if phones go away, because you're not going to put huge batteries into glasses or AirPods or a pendant or a brooch. And you're not going to do all the compute in something with a small battery, so you're going to want to have a lightweight…”
Alex Schultz Sep 5, 2025 ▶ 47:55
Prediction Not checkable as stated
Alex Schultz: AI engine optimization TAM will surpass the SEO market
“It should be a much bigger market because the agents are going to take actions. I mean, the agents are already taking actions for people. And so in a world where there are actually actions being taken at the endpoint, it's not just presenting a link to somebod…”
Alex Schultz Sep 5, 2025 ▶ 49:18
Insight
Alex Schultz: Building for fully agentic AI yields a huge market opportunity
“If you're skating to a puck of, like, AI agents with full agentic behavior, even controlling computers, making full purchase decisions for consumers, that's a huge tam. If you play for where we are today, tiny tam. And also, probably you'll get steamrolled.”
Alex Schultz Sep 5, 2025 ▶ 50:52
Assertion Supported
Alex Schultz: 70% of Meta engagement is un-followed AI recommendations
“So five years ago, we were 100% content shown to you based on people you follow, or accounts you follow. 100%. People don't understand, like, TikTok was tiny, it was the beginning of the pandemic, like, it was very early on, so let's say five and a half years …”
Alex Schultz Sep 5, 2025 ▶ 51:46
Opinion
Alex Schultz: Cryptocurrency still feels like a Ponzi scheme
“I never got crypto. I still don't get crypto... It still feels like a Ponzi scheme to me, which I know it makes me an old fogey, but I don't get it.”
Alex Schultz Sep 5, 2025 ▶ 53:43
Disclosure
Alex Schultz opposed Meta building audio rooms to compete with Clubhouse
“I didn't agree with us doing the audio rooms thing. At the same time we were sticking reels at the top of everything, we also stuck audio rooms at the top of everything. And audio rooms failed.”
Alex Schultz Sep 5, 2025 ▶ 54:19
Assertion Not checkable as stated
Alex Schultz: WhatsApp is Meta's most successful consumer AI integration
“Oh, the WhatsApp one's really good... It's the most successful integration we've got.”
Alex Schultz Sep 5, 2025 ▶ 55:04
Assertion Not checkable as stated
Alex Schultz: Microsoft leads major tech hyperscalers in quantum computing
“They're leading in quantum. We don't talk about quantum very much, but Microsoft is leading of the big players In quantum.”
Alex Schultz Sep 5, 2025 ▶ 56:13
Opinion
Alex Schultz: Malign AI superintelligence is scarier than quantum computing
“There are ways for us to handle encryption being broken, not least quantum encryption. And so it's a much more solvable problem. Whereas If a malign AI superintelligence actually existed, that would be less solvable. So of the two, I'm more scared of AI.”
Alex Schultz Sep 5, 2025 ▶ 57:09
Assertion Supported
Alex Schultz: Meta click-to-messaging ads generate over $10 billion annually
“So click to messaging is north of a ten billion dollar business.”
Alex Schultz Sep 5, 2025 ▶ 57:30
Assertion Supported
Alex Schultz: WhatsApp business verification revenue exceeds $1 billion annually
“And that's a north of a billion dollar business.”
Alex Schultz Sep 5, 2025 ▶ 59:59
Assertion Partly supported
Alex Schultz: Meta spends less on marketing than its tech peers
“Apart from Apple, whose marketing is paid for by the carriers, we have the lowest percentage of operating income that we spend on the stuff, the media that we disclose in the XK”
Alex Schultz Sep 5, 2025 ▶ 1:01:21
Assertion Not checkable as stated
Alex Schultz: TikTok Shop struggles in the US and UK
“TikTok shops are successful outside of the US and UK. But they're actually not very successful in the US and UK. Huge in Southeast Asia.”
Alex Schultz Sep 5, 2025 ▶ 1:04:22
Insight
Alex Schultz: Maximizing at-bats beats avoiding failure in the tech industry
“We're in a field where the number of runs you get for hitting a home run in baseball isn't one. If you slug it out of the stadium, you can make a million runs, not just one run. And so, at bats really matter. At bats really matter, and you don't want base hits…”
Alex Schultz Sep 5, 2025 ▶ 1:05:05
Prediction Not checkable as stated
Alex Schultz: Europe will be relatively weaker globally in five years
“Stronger on an absolute basis, weaker on a relative basis.”
Alex Schultz Sep 5, 2025 ▶ 1:06:02
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