Feb 18, 2022 · 40m · another-podcast

Asking the dumb questions

Benedict Evans · 27m spoken Toni Cowan-Brown · 8m spoken
0:00 / 0:00

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Co-hosts Benedict Evans and Toni Cowan-Brown evaluate the fragmented 2022 technology landscape, exploring shifting advertising gatekeepers, regulatory and privacy dilemmas, speculative frontiers like AI and Web3, and how software has transitioned into an underlying infrastructure reshaping traditional commercial verticals.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The hosts hold 76.9% of the talking time here. How this is scored →

The hosts as informed peer 7.4 Guest teaching 1.0 Guest disagreement 0.7 The hosts pushing back 1.1
05100:0015:0030:001:10–4:12 · The hosts as informed peer 7/10 Speculative Horizons: Web3, Autonomous Driving, and Artificial Intelligence Benedict lays out an extensive framework comparing tech macro cycles to the web and open source, contrasting crypto with autonomous driving. Tony participates collaboratively by posing clarifying questions.4:13–8:23 · The hosts as informed peer 7/10 Infrastructure Realities, Global Regulation, and Hardware Cycles Tony notes that car dependency is often an urban infrastructure issue rather than pure technology. Benedict expands with comparisons of public transit infrastructure across San Francisco, London, Paris, and Berlin, before surveying VR hardware figures and AR optics.8:24–12:27 · The hosts as informed peer 7/10 The Dilemma of Privacy, Surveillance, and Targeted Advertising Benedict deconstructs the ambiguity around privacy regulation with practical examples of targeted advertising and illustrates historical targeting with a Nancy Astor anecdote. Tony engages warmly while teasing Benedict about his historical anecdotes.12:27–15:03 · The hosts as informed peer 8/10 Shifting Power Dynamics, Digital Advertising, and New Industry Gatekeepers Benedict demonstrates deep industry knowledge by citing specific advertising earnings, highlighting Amazon's $31 billion ad revenue and Shopify's $165 billion GMV to show how power dynamics continuously shift beyond traditional tech giants.15:04–24:07 · The hosts as informed peer 8/10 Industrial History Parallels and the Pervasiveness of Enterprise SaaS Benedict pushes back against the common analogy that Big Tech is simply the GM and Ford of today, citing industrial giants like GE and Siemens, FTC acquisition statistics, and corporate SaaS application sprawl data.24:07–34:04 · The hosts as informed peer 8/10 The Unbundling of Commerce, Media Direct-to-Consumer Models, and Brand Identity Tony asks whether all modern companies are turning into media companies. Benedict clarifies distinctions between media and technology, analyzing Netflix, Shein, and consumer goods unbundling across the modern supply chain.34:05–39:02 · The hosts as informed peer 7/10 Identifying Points of Leverage and the Power of Asking Dumb Questions Benedict and Tony explore the utility of asking naive or 'dumb' baseline questions to uncover market fundamentals, drawing parallels from private equity acquisitions to Formula One operational setups.1:10–4:12 · Guest teaching 1/10 Speculative Horizons: Web3, Autonomous Driving, and Artificial Intelligence Benedict lays out an extensive framework comparing tech macro cycles to the web and open source, contrasting crypto with autonomous driving. Tony participates collaboratively by posing clarifying questions.4:13–8:23 · Guest teaching 2/10 Infrastructure Realities, Global Regulation, and Hardware Cycles Tony notes that car dependency is often an urban infrastructure issue rather than pure technology. Benedict expands with comparisons of public transit infrastructure across San Francisco, London, Paris, and Berlin, before surveying VR hardware figures and AR optics.8:24–12:27 · Guest teaching 1/10 The Dilemma of Privacy, Surveillance, and Targeted Advertising Benedict deconstructs the ambiguity around privacy regulation with practical examples of targeted advertising and illustrates historical targeting with a Nancy Astor anecdote. Tony engages warmly while teasing Benedict about his historical anecdotes.12:27–15:03 · Guest teaching 0/10 Shifting Power Dynamics, Digital Advertising, and New Industry Gatekeepers Benedict demonstrates deep industry knowledge by citing specific advertising earnings, highlighting Amazon's $31 billion ad revenue and Shopify's $165 billion GMV to show how power dynamics continuously shift beyond traditional tech giants.15:04–24:07 · Guest teaching 1/10 Industrial History Parallels and the Pervasiveness of Enterprise SaaS Benedict pushes back against the common analogy that Big Tech is simply the GM and Ford of today, citing industrial giants like GE and Siemens, FTC acquisition statistics, and corporate SaaS application sprawl data.24:07–34:04 · Guest teaching 1/10 The Unbundling of Commerce, Media Direct-to-Consumer Models, and Brand Identity Tony asks whether all modern companies are turning into media companies. Benedict clarifies distinctions between media and technology, analyzing Netflix, Shein, and consumer goods unbundling across the modern supply chain.34:05–39:02 · Guest teaching 1/10 Identifying Points of Leverage and the Power of Asking Dumb Questions Benedict and Tony explore the utility of asking naive or 'dumb' baseline questions to uncover market fundamentals, drawing parallels from private equity acquisitions to Formula One operational setups.1:10–4:12 · Guest disagreement 0/10 Speculative Horizons: Web3, Autonomous Driving, and Artificial Intelligence Benedict lays out an extensive framework comparing tech macro cycles to the web and open source, contrasting crypto with autonomous driving. Tony participates collaboratively by posing clarifying questions.4:13–8:23 · Guest disagreement 1/10 Infrastructure Realities, Global Regulation, and Hardware Cycles Tony notes that car dependency is often an urban infrastructure issue rather than pure technology. Benedict expands with comparisons of public transit infrastructure across San Francisco, London, Paris, and Berlin, before surveying VR hardware figures and AR optics.8:24–12:27 · Guest disagreement 1/10 The Dilemma of Privacy, Surveillance, and Targeted Advertising Benedict deconstructs the ambiguity around privacy regulation with practical examples of targeted advertising and illustrates historical targeting with a Nancy Astor anecdote. Tony engages warmly while teasing Benedict about his historical anecdotes.12:27–15:03 · Guest disagreement 0/10 Shifting Power Dynamics, Digital Advertising, and New Industry Gatekeepers Benedict demonstrates deep industry knowledge by citing specific advertising earnings, highlighting Amazon's $31 billion ad revenue and Shopify's $165 billion GMV to show how power dynamics continuously shift beyond traditional tech giants.15:04–24:07 · Guest disagreement 1/10 Industrial History Parallels and the Pervasiveness of Enterprise SaaS Benedict pushes back against the common analogy that Big Tech is simply the GM and Ford of today, citing industrial giants like GE and Siemens, FTC acquisition statistics, and corporate SaaS application sprawl data.24:07–34:04 · Guest disagreement 1/10 The Unbundling of Commerce, Media Direct-to-Consumer Models, and Brand Identity Tony asks whether all modern companies are turning into media companies. Benedict clarifies distinctions between media and technology, analyzing Netflix, Shein, and consumer goods unbundling across the modern supply chain.34:05–39:02 · Guest disagreement 1/10 Identifying Points of Leverage and the Power of Asking Dumb Questions Benedict and Tony explore the utility of asking naive or 'dumb' baseline questions to uncover market fundamentals, drawing parallels from private equity acquisitions to Formula One operational setups.1:10–4:12 · The hosts pushing back 0/10 Speculative Horizons: Web3, Autonomous Driving, and Artificial Intelligence Benedict lays out an extensive framework comparing tech macro cycles to the web and open source, contrasting crypto with autonomous driving. Tony participates collaboratively by posing clarifying questions.4:13–8:23 · The hosts pushing back 1/10 Infrastructure Realities, Global Regulation, and Hardware Cycles Tony notes that car dependency is often an urban infrastructure issue rather than pure technology. Benedict expands with comparisons of public transit infrastructure across San Francisco, London, Paris, and Berlin, before surveying VR hardware figures and AR optics.8:24–12:27 · The hosts pushing back 1/10 The Dilemma of Privacy, Surveillance, and Targeted Advertising Benedict deconstructs the ambiguity around privacy regulation with practical examples of targeted advertising and illustrates historical targeting with a Nancy Astor anecdote. Tony engages warmly while teasing Benedict about his historical anecdotes.12:27–15:03 · The hosts pushing back 1/10 Shifting Power Dynamics, Digital Advertising, and New Industry Gatekeepers Benedict demonstrates deep industry knowledge by citing specific advertising earnings, highlighting Amazon's $31 billion ad revenue and Shopify's $165 billion GMV to show how power dynamics continuously shift beyond traditional tech giants.15:04–24:07 · The hosts pushing back 2/10 Industrial History Parallels and the Pervasiveness of Enterprise SaaS Benedict pushes back against the common analogy that Big Tech is simply the GM and Ford of today, citing industrial giants like GE and Siemens, FTC acquisition statistics, and corporate SaaS application sprawl data.24:07–34:04 · The hosts pushing back 2/10 The Unbundling of Commerce, Media Direct-to-Consumer Models, and Brand Identity Tony asks whether all modern companies are turning into media companies. Benedict clarifies distinctions between media and technology, analyzing Netflix, Shein, and consumer goods unbundling across the modern supply chain.34:05–39:02 · The hosts pushing back 1/10 Identifying Points of Leverage and the Power of Asking Dumb Questions Benedict and Tony explore the utility of asking naive or 'dumb' baseline questions to uncover market fundamentals, drawing parallels from private equity acquisitions to Formula One operational setups.

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

0:00 · the hosts 62.8% · guest 37.2%0:00 · the hosts 62.8% · guest 37.2%3:00 · the hosts 84.1% · guest 15.9%3:00 · the hosts 84.1% · guest 15.9%6:00 · the hosts 76.3% · guest 23.7%6:00 · the hosts 76.3% · guest 23.7%9:00 · the hosts 70.2% · guest 29.8%9:00 · the hosts 70.2% · guest 29.8%12:00 · the hosts 79% · guest 21%12:00 · the hosts 79% · guest 21%15:00 · the hosts 97.9% · guest 2.1%15:00 · the hosts 97.9% · guest 2.1%18:00 · the hosts 81.4% · guest 18.6%18:00 · the hosts 81.4% · guest 18.6%21:00 · the hosts 94.4% · guest 5.6%21:00 · the hosts 94.4% · guest 5.6%24:00 · the hosts 75.3% · guest 24.7%24:00 · the hosts 75.3% · guest 24.7%27:00 · the hosts 67% · guest 33%27:00 · the hosts 67% · guest 33%30:00 · the hosts 85.6% · guest 14.4%30:00 · the hosts 85.6% · guest 14.4%33:00 · the hosts 79.5% · guest 20.5%33:00 · the hosts 79.5% · guest 20.5%36:00 · the hosts 45.8% · guest 54.2%36:00 · the hosts 45.8% · guest 54.2%39:00 · the hosts 27.2% · guest 72.8%39:00 · the hosts 27.2% · guest 72.8%
Sharpest disagreement ▶ 12:13 Teasing over historical anecdotes

Tony jokingly challenges Benedict on where he stores all his niche historical anecdotes and playfully claims he is too young to remember them.

Hardest push from the hosts ▶ 16:33 Challenging narrow market definitions of tech monopoly

Benedict directly rejects the narrow analogy comparing Google and Apple to 1950s GM and Ford, arguing it ignores broader industrial engineering comparables.

Biggest teaching moment ▶ 4:13 Reframing autonomous transit as an urban infrastructure problem

Tony reframes autonomous driving away from pure tech innovation, pointing out that urban design and physical transit infrastructure dictate real-world outcomes.

The host holds their own ▶ 13:20 Deploying exact market statistics on ad scale

Benedict demonstrates authoritative domain expertise by reeling off granular financial data comparing Amazon ad revenues and Shopify GMV against legacy media.

the scores for every segment, with the reasoning behind each
ChapterTopicThe hosts as informed peerGuest teachingGuest disagreementThe hosts pushing backWhy
Speculative Horizons: Web3, Autonomous Driving, and Artificial Intelligence 7100 Benedict lays out an extensive framework comparing tech macro cycles to the web and open source, contrasting crypto with autonomous driving. Tony participates collaboratively by posing clarifying questions.
Infrastructure Realities, Global Regulation, and Hardware Cycles 7211 Tony notes that car dependency is often an urban infrastructure issue rather than pure technology. Benedict expands with comparisons of public transit infrastructure across San Francisco, London, Paris, and Berlin, before surveying VR hardware figures and AR optics.
The Dilemma of Privacy, Surveillance, and Targeted Advertising 7111 Benedict deconstructs the ambiguity around privacy regulation with practical examples of targeted advertising and illustrates historical targeting with a Nancy Astor anecdote. Tony engages warmly while teasing Benedict about his historical anecdotes.
Shifting Power Dynamics, Digital Advertising, and New Industry Gatekeepers 8001 Benedict demonstrates deep industry knowledge by citing specific advertising earnings, highlighting Amazon's $31 billion ad revenue and Shopify's $165 billion GMV to show how power dynamics continuously shift beyond traditional tech giants.
Industrial History Parallels and the Pervasiveness of Enterprise SaaS 8112 Benedict pushes back against the common analogy that Big Tech is simply the GM and Ford of today, citing industrial giants like GE and Siemens, FTC acquisition statistics, and corporate SaaS application sprawl data.
The Unbundling of Commerce, Media Direct-to-Consumer Models, and Brand Identity 8112 Tony asks whether all modern companies are turning into media companies. Benedict clarifies distinctions between media and technology, analyzing Netflix, Shein, and consumer goods unbundling across the modern supply chain.
Identifying Points of Leverage and the Power of Asking Dumb Questions 7111 Benedict and Tony explore the utility of asking naive or 'dumb' baseline questions to uncover market fundamentals, drawing parallels from private equity acquisitions to Formula One operational setups.

Statements from this episode (11)

Prediction Not checkable as stated
Evans: Tech may never achieve full vehicle autonomy, mirroring general AI
“It may be that we never get full autonomy, and full autonomy is a bit like general AI in that, you know, this is a joke in AI that, you know, AI is anything that doesn't work yet, because as soon as it works, people say that's not AI, that's just a database.”
Benedict Evans Feb 18, 2022 ▶ 3:22
Assertion Supported
Evans: Meta's 13 million VR headsets yield only 5 million active users
“I think Facebook's probably sold 12, thirteen million of them. There's maybe five million people actually using them.”
Benedict Evans Feb 18, 2022 ▶ 6:23
Prediction Not checkable as stated
Evans: Banning profile-based ads benefits Google and could bankrupt The Guardian
“You want to ban advertising based on the user profile rather than on the context. Okay, well, that's probably good for Google and terrible for the New York Times, and the Guardian might go out of business.”
Benedict Evans Feb 18, 2022 ▶ 10:22
Assertion Supported
Evans: Amazon generated $31B in 2021 ad revenue, topping YouTube
“This quarter, what had previously been sort of implicit in their results, so they have this line in the back of the account, it's called a breakdown of their revenue, and they had this line called other, which they say is predominantly advertising, and this qu…”
Benedict Evans Feb 18, 2022 ▶ 13:30
Assertion Supported
Evans: Shopify reached $165B GMV in the twelve months to Q3
“Then you have Shopify whose numbers, Q four numbers aren't out yet, but in the 12 months to Q three, they did a hundred and sixty five billion dollars of GMV, which is about 40, 45% of the size of Amazon marketplace.”
Benedict Evans Feb 18, 2022 ▶ 13:59
Assertion Supported
Evans: Shein's US sales likely eclipse Zara and H&M combined
“And, you know, so it's not a tech company in that sense, but this is a company that nobody had heard of two or three years ago that, you know, is probably bigger than Zara and H&M combined in the USA now.”
Benedict Evans Feb 18, 2022 ▶ 14:29
Insight
Evans: Tech's second phase mirrors auto industry's shift to downstream societal impacts
“And in the same way that like the second 50 years of the car industry wasn't about cars, it was about Walmart and McDonald's and suburbia and freeways. And, you know, the fact that everyone had a car.”
Benedict Evans Feb 18, 2022 ▶ 15:41
Opinion
Evans: Dozens of massive tech companies do not compete with Google or Amazon
“There's an awful lot of fifty, hundred, two hundred billion dollar tech companies out there. You know, how does that model account for everything from Coinbase to Stripe to Shopify to Spotify to you know, Okta to Databricks to UiPath to, you know, there's doze…”
Benedict Evans Feb 18, 2022 ▶ 17:47
Opinion
Evans: Netflix is a media company, not a tech company
“Well, so I have a pretty strong opinion that Netflix is a media company, and the reason I say this is that all the questions that actually matter are TV questions, like how many shows, what kind of shows, what price, what mix, how long do they last, how often …”
Benedict Evans Feb 18, 2022 ▶ 24:51
Assertion Supported
Evans: Small brands drove most CPG growth over the past decade
“Something like half to two thirds of all the growth in CPG in the last 10 years has come from small brands, new brands”
Benedict Evans Feb 18, 2022 ▶ 31:33
Opinion
Evans: Tech regulation does not affect most enterprise software companies
“Well, obviously, I feel like, you know, it doesn't actually matter to most people in tech. A, no one cares, and B, it doesn't matter very much to people in tech. Most people building enterprise software companies, they're not affected by any of this stuff.”
Benedict Evans Feb 18, 2022 ▶ 34:22
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