This piece argues that tech may not be as special as it thinks—smartphones and cloud computing have hit their natural limits, and giants like Apple, Google, Amazon, Microsoft, and Facebook could become as entrenched as the Big Three automakers after the 1930s. Ben Thompson explains his 'Aggregation Theory': aggregators like Google and Facebook profit from user habits and scale, while platforms like Windows and iOS App Store rely on technical lock-in. Key holdings: Netflix (actively burning cash on original content, seen as smart long-term), Spotify (music squeezed by record labels, but podcast strategy promising), and Shopify (empowers small merchants; high failure rate costs nothing, success pays off).
Ben Thompson, in his appearance on the Invest Like the Best podcast, delved into how the internet has reshaped the business landscape, centering his discussion on his well-known "Aggregation Theory" and the "Smiling Curve." He argues that successful aggregators (such as Amazon and Netflix) are built
Ben Thompson is the author of the tech strategy newsletter Stratechery and co-host of the Exponent and Dithering podcasts. This episode centers on his Aggregation Theory and Smiling Curve, offering a deep analysis of how the internet has reshaped the logic of business competition.
The most consequential takeaway from the entire episode: Ben Thompson argues that the tech industry may not be as "special" as it believes itself to be — smartphones and cloud computing have reached the natural endpoint of the general-purpose computing paradigm, and the currently dominant companies (Apple, Google, Amazon, Microsoft) are likely to become long-term, unshakeable cornerstones, much like the Big Three automakers after the 1930s, rather than being disrupted by the next wave. This judgment directly challenges Silicon Valley's narrative of "perpetual self-disruption."
Thompson argues that the tech industry is not a series of discrete "eras" (mainframe → PC → internet → mobile), but a continuous evolution that has reached the natural endpoint of the general-purpose computing paradigm.
> "Maybe tech isn't so special after all."
Thompson distinguishes between "Aggregators" and "Platforms"—a core concept for understanding the business models of internet giants.
1. Direct relationship with users (users come to you directly, not through intermediaries)
2. Zero marginal cost to serve users (infinite scalability)
3. User acquisition costs decline with scale (the product improves as more users join)
> "An aggregator, I can always go around and form a one-on-one connection. A platform type moat is all about making connections that can't be made without the platform." (Meaning: An aggregator's moat is user habit and scale—you can bypass it; a platform's moat lies in the connections it enables, which cannot be bypassed.)
Thompson points out that an aggregator's profitability depends on the degree of supplier differentiation and bargaining power.
Thompson argues that Shopify and Amazon represent two fundamentally distinct competitive logics, and that Shopify's model is closer to a "platform" than an "aggregator."
Thompson argues that the core feature of the internet is the replacement of "scarcity" with "abundance," fundamentally altering which segments can generate profits.
| Position | Guest Stance | Key Data |
|---|---|---|
| Netflix | Bullish long-term, believes its proactive business model shift is the right strategy | Free cash flow deeply negative from 2017-2019, but due to upfront costs; 180 million user base dilutes content costs |
| Spotify | Bullish on podcast strategy, notes music business is constrained by suppliers | Podcast ad CPM expected to far exceed industry levels; exclusive Joe Rogan deal |
| Shopify | Bullish on its platform model, but notes long-term dependence on Facebook ads | Merchant failure rate is extremely high but costs Shopify nothing; marginal service cost is zero |
| Amazon | Viewed as a typical aggregator, suppliers are commoditized | Infinite shelf space; merchants bear all costs |
| Apple | Platform power is strong, App Store control is a "potential abuse of platform power" | iOS/Android are the "endpoint" of the smartphone era |
| Typical aggregator, driven by user choice | SEO industry is essentially suppliers paying to optimize themselves; declining CPC is a positive signal | |
| Typical aggregator, internalizes network effects | Stories increase ad inventory, declining CPM is a positive | |
| Disney | Bullish on its streaming strategy, believes the model is superior to Netflix's direct competition | Cross-subsidizes streaming via theme parks/cruise lines and other businesses |
| Epic Games | Bullish on its platform/infrastructure logic | Game engine licensing threshold raised from $50,000 to $1 million; Fortnite is free-to-play, monetized through cosmetic items |
| Uber | Believes its business model has a fundamental misalignment | Spends money simultaneously on acquiring users and recruiting drivers, inconsistent with aggregator logic |
| Stripe | Viewed as an infrastructure platform, bullish on its cost structure moat | Scale brings cost advantages, enabling investment in developer tools and documentation |
| Walmart | Believes its traditional e-commerce strategy has failed, but grocery business has advantages | Grocery supply chain differs from Amazon's; Walmart has existing infrastructure |
1. Thompson believes the tech industry may no longer be "special"—smartphones and cloud computing have reached the end of general-purpose computing, and current giants could remain as entrenched as the Big Three automakers after 1930. Support: Both the interaction layer (phones → watches/AR represent specialization, not upgrades) and the computing layer (cloud → edge represent specialization, not upgrades) have hit the natural limits of generality.
2. "Aggregators" and "platforms" are two entirely different business models, and regulators must treat them distinctly. Support: Aggregators derive power from user choice (Google/Facebook), while platforms' moats come from technological lock-in (Windows/iOS App Store). Applying antitrust tools to aggregators often amounts to "pushing a rope"—Europe's penalty against Google Shopping failed to change user behavior.
3. Netflix's "negative cash flow" is not a problem, but a signal of an active business model transformation. Support: Shifting from "buying third-party content" to "producing proprietary content" means front-loading all costs in exchange for retaining all future revenue. In a zero-interest-rate environment, this is a savvy capital move.
4. Directly confronting Netflix head-on is foolish—the correct competitive approach is like Disney's, using streaming as a funnel top to drive other businesses. Support: Netflix can spread the cost of a show across 180 million users; competitors cannot. Disney Plus's low-price strategy is rational because its returns come from cross-selling theme parks, cruises, etc.
5. Shopify's high merchant churn rate is a positive signal, not a negative indicator. Support: Marginal service cost is zero, and failed merchants incur no cost; a large number of trials increases the probability of hitting a "jackpot"—this is the logic of an "abundance" world.
6. "Selling 'content' on the internet is a loser's game—you need to sell 'service'." Support: Content is just bits with zero marginal cost; service is about continuously making users feel informed and inspired. Thompson's emails are a "byproduct" of the service, not the product itself.
7. Spotify's podcast strategy is essentially about ad monetization, not subscription growth—it aims to replicate Facebook's advertising model. Support: Spotify allocates content costs to its ad division; it has users' emails, locations, and payment information, enabling precise advertising. If CPM is far above industry average, podcasters will proactively join, creating a positive feedback loop.
8. "Abundance" replacing "scarcity" is the core economic feature of the internet—cost declines are a good thing, not a bad thing. Support: At Google's IPO, CPC decline was misunderstood; it was actually inventory growing faster than consumption. Facebook Stories increased ad inventory, and CPM decline is a long-term positive. The old-world "scarcity mindset" is entirely obsolete.