Dec 22, 2020 · 27m · another-podcast

What comes next?

Benedict Evans · 20m spoken Toni Cowan-Brown · 3m spoken
0:00 / 0:00

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

Benedict Evans and Toni Karen Brown analyze the post-smartphone technology landscape, examining historical computing cycles, the limitations of emerging hardware like VR and AR, and the transformative integration of cloud software and machine learning across enterprise industries.

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 85.3% of the talking time here. How this is scored →

The hosts as informed peer 8.0 Guest teaching 1.8 Guest disagreement 1.3 The hosts pushing back 2.8
05100:0010:0020:004:08–9:21 · The hosts as informed peer 8/10 The Enduring Half-Life of Legacy Platforms Benedict dominates the analysis, citing specific statistics like IBM mainframe computing capacity growth and detailing hardware constraints in AR/VR. Toni primarily acts as a conversational sounding board, offering brief prompts and affirmations.9:21–13:15 · The hosts as informed peer 8/10 Enterprise Architecture, Machine Learning, and Corporate Modernization Benedict details enterprise architecture transitions from Oracle/SAP to cloud and ML, citing Vodafone's processing of millions of physical invoices. Toni concurs with observations on efficiency and pandemic acceleration.13:16–18:52 · The hosts as informed peer 8/10 The Second Fifty Years: Mass Adoption Historical Parallels Benedict illustrates the computing S-curve through historical analogies of automotive and commercial aviation adoption cycles. Toni contributes a thoughtful observation about technology dictating social structure rather than the reverse.18:52–23:50 · The hosts as informed peer 8/10 Antitrust Scrutiny, Utility Regulation, and Industry Identity Benedict breaks down why large tech firms face utility-style regulation and rejects the premise that Netflix is a software company. Toni draws on her European Commission experience regarding cross-sector digital policy.4:08–9:21 · Guest teaching 1/10 The Enduring Half-Life of Legacy Platforms Benedict dominates the analysis, citing specific statistics like IBM mainframe computing capacity growth and detailing hardware constraints in AR/VR. Toni primarily acts as a conversational sounding board, offering brief prompts and affirmations.9:21–13:15 · Guest teaching 1/10 Enterprise Architecture, Machine Learning, and Corporate Modernization Benedict details enterprise architecture transitions from Oracle/SAP to cloud and ML, citing Vodafone's processing of millions of physical invoices. Toni concurs with observations on efficiency and pandemic acceleration.13:16–18:52 · Guest teaching 2/10 The Second Fifty Years: Mass Adoption Historical Parallels Benedict illustrates the computing S-curve through historical analogies of automotive and commercial aviation adoption cycles. Toni contributes a thoughtful observation about technology dictating social structure rather than the reverse.18:52–23:50 · Guest teaching 3/10 Antitrust Scrutiny, Utility Regulation, and Industry Identity Benedict breaks down why large tech firms face utility-style regulation and rejects the premise that Netflix is a software company. Toni draws on her European Commission experience regarding cross-sector digital policy.4:08–9:21 · Guest disagreement 1/10 The Enduring Half-Life of Legacy Platforms Benedict dominates the analysis, citing specific statistics like IBM mainframe computing capacity growth and detailing hardware constraints in AR/VR. Toni primarily acts as a conversational sounding board, offering brief prompts and affirmations.9:21–13:15 · Guest disagreement 1/10 Enterprise Architecture, Machine Learning, and Corporate Modernization Benedict details enterprise architecture transitions from Oracle/SAP to cloud and ML, citing Vodafone's processing of millions of physical invoices. Toni concurs with observations on efficiency and pandemic acceleration.13:16–18:52 · Guest disagreement 1/10 The Second Fifty Years: Mass Adoption Historical Parallels Benedict illustrates the computing S-curve through historical analogies of automotive and commercial aviation adoption cycles. Toni contributes a thoughtful observation about technology dictating social structure rather than the reverse.18:52–23:50 · Guest disagreement 2/10 Antitrust Scrutiny, Utility Regulation, and Industry Identity Benedict breaks down why large tech firms face utility-style regulation and rejects the premise that Netflix is a software company. Toni draws on her European Commission experience regarding cross-sector digital policy.4:08–9:21 · The hosts pushing back 3/10 The Enduring Half-Life of Legacy Platforms Benedict dominates the analysis, citing specific statistics like IBM mainframe computing capacity growth and detailing hardware constraints in AR/VR. Toni primarily acts as a conversational sounding board, offering brief prompts and affirmations.9:21–13:15 · The hosts pushing back 2/10 Enterprise Architecture, Machine Learning, and Corporate Modernization Benedict details enterprise architecture transitions from Oracle/SAP to cloud and ML, citing Vodafone's processing of millions of physical invoices. Toni concurs with observations on efficiency and pandemic acceleration.13:16–18:52 · The hosts pushing back 2/10 The Second Fifty Years: Mass Adoption Historical Parallels Benedict illustrates the computing S-curve through historical analogies of automotive and commercial aviation adoption cycles. Toni contributes a thoughtful observation about technology dictating social structure rather than the reverse.18:52–23:50 · The hosts pushing back 4/10 Antitrust Scrutiny, Utility Regulation, and Industry Identity Benedict breaks down why large tech firms face utility-style regulation and rejects the premise that Netflix is a software company. Toni draws on her European Commission experience regarding cross-sector digital policy.

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

0:00 · the hosts 89.3% · guest 10.7%0:00 · the hosts 89.3% · guest 10.7%3:00 · the hosts 80.4% · guest 19.6%3:00 · the hosts 80.4% · guest 19.6%6:00 · the hosts 97.4% · guest 2.6%6:00 · the hosts 97.4% · guest 2.6%9:00 · the hosts 93% · guest 7%9:00 · the hosts 93% · guest 7%12:00 · the hosts 91.9% · guest 8.1%12:00 · the hosts 91.9% · guest 8.1%15:00 · the hosts 99.3% · guest 0.7%15:00 · the hosts 99.3% · guest 0.7%18:00 · the hosts 44.6% · guest 55.4%18:00 · the hosts 44.6% · guest 55.4%21:00 · the hosts 93.8% · guest 6.2%21:00 · the hosts 93.8% · guest 6.2%24:00 · the hosts 82.2% · guest 17.8%24:00 · the hosts 82.2% · guest 17.8%27:00 · the hosts 28.9% · guest 71.1%27:00 · the hosts 28.9% · guest 71.1%
Sharpest disagreement ▶ 19:00 Toni dismisses regulatory forecasting

Toni bluntly dismisses her own initial thesis that regulator focus predicts future tech trends, calling the idea bullshit because regulators lag behind.

Hardest push from the hosts ▶ 22:58 Benedict challenges the tech label for Netflix

Benedict firmly rejects classifying companies like Netflix as tech companies, asserting their core operational questions are purely television-oriented.

Biggest teaching moment ▶ 23:55 Toni shares DG Connect policy experience

Toni provides firsthand insight into EU regulatory bureaucracy from her time at DG Connect, explaining jurisdictional clashes between tech and legacy departments.

The host holds their own ▶ 16:26 Benedict explains aviation adoption economics

Benedict demonstrates deep historical domain knowledge by breaking down early Pan Am ticket prices and passenger aviation evolution to contextualize modern tech adoption.

the scores for every segment, with the reasoning behind each
ChapterTopicThe hosts as informed peerGuest teachingGuest disagreementThe hosts pushing backWhy
The Enduring Half-Life of Legacy Platforms 8113 Benedict dominates the analysis, citing specific statistics like IBM mainframe computing capacity growth and detailing hardware constraints in AR/VR. Toni primarily acts as a conversational sounding board, offering brief prompts and affirmations.
Enterprise Architecture, Machine Learning, and Corporate Modernization 8112 Benedict details enterprise architecture transitions from Oracle/SAP to cloud and ML, citing Vodafone's processing of millions of physical invoices. Toni concurs with observations on efficiency and pandemic acceleration.
The Second Fifty Years: Mass Adoption Historical Parallels 8212 Benedict illustrates the computing S-curve through historical analogies of automotive and commercial aviation adoption cycles. Toni contributes a thoughtful observation about technology dictating social structure rather than the reverse.
Antitrust Scrutiny, Utility Regulation, and Industry Identity 8324 Benedict breaks down why large tech firms face utility-style regulation and rejects the premise that Netflix is a software company. Toni draws on her European Commission experience regarding cross-sector digital policy.

Statements from this episode (17)

Assertion Partly supported
4.5 Billion Adults Globally Now Own a Smartphone
“There's something like four, four and a half billion people on earth have a smartphone now, and there's only about four and a half billion adults. 90% of the developed world has got one.”
Benedict Evans Dec 22, 2020 ▶ 1:02
Insight
Tech Operates on 15-Year Paradigm Shift Cycles
“The tech industry has sort of had one of these central agendas sort of every 15 years or so for the last, you know, probably since the sixties. So mainframes are the center of the tech industry from the sixties through to the seventies, then the PC from the mi…”
Benedict Evans Dec 22, 2020 ▶ 1:41
Insight
Tech Can No Longer Rely on Expanding the Total User Base
“The trouble is, as I mentioned, we've kind of run out of people now. So there's not like another step change to come in that kind of process.”
Benedict Evans Dec 22, 2020 ▶ 2:50
Insight
Paradigm Shifts Disrupt Incumbents by Doing Something Entirely Different
“Each of those generations tended to change what companies mattered. So IBM dominates mainframes, and in fact, at the time, people used to talk about IBM and the Seven Dwarfs, because there were seven much smaller companies, like kind of Honeywell and Control D…”
Benedict Evans Dec 22, 2020 ▶ 3:01
Insight
Legacy Computing Platforms Never Disappear, They Just Fade Away
“The mainframes, the laptops, the internet or the computers, internet, smartphones, none of these go away. They just kind of fade into the background and become less prominent.”
Toni Cowan-Brown Dec 22, 2020 ▶ 4:09
Assertion Supported
IBM's Mainframe Computing Capacity Grew 10x Between 2000 and 2010
“In fact, I found out a while ago that IBM's install base of mainframes, which they measure in computing capacity, so they measure it in MIPS, went up about 10 X between 2002 1010.”
Benedict Evans Dec 22, 2020 ▶ 4:48
Opinion
Connected IoT Sensors Will Not Be the Next Smartphone Platform
“So there'll be a huge number of connected sensors with neural networks and five G radios, but that's not like the next smartphone. That's just like sensors and like widgets.”
Benedict Evans Dec 22, 2020 ▶ 6:36
Assertion Not checkable as stated
Virtual Reality Has Found No Consumer Use Cases Outside Gaming
“VR seems to be stuck as a subset of the games industry. And no one has managed to do anything on VR that anyone actually uses that isn't a game other than kind of niche, like medical and industrial applications.”
Benedict Evans Dec 22, 2020 ▶ 7:10
Prediction Not checkable as stated
Machine Learning Will Dominate Enterprise Computing for Another Decade
“The big thing now is machine learning, and that will be the thing for another 10 years.”
Benedict Evans Dec 22, 2020 ▶ 10:17
Assertion Contradicted
Vodafone Still Processes 2.5 Million Paper Invoices Per Year
“Vodafone has two and a half million paper invoices a year.”
Benedict Evans Dec 22, 2020 ▶ 10:46
Insight
Corporate Digital Transformation Just Upgrades 1980s Tech to 2010 Standards
“Digital transformation actually means you go from eighties digital to 2010 digital, even though it's now 2020, but that's how big companies work.”
Benedict Evans Dec 22, 2020 ▶ 11:11
Assertion Partly supported
1994 PC Base Was 100M vs. 4.5B Smartphones Today
“Even when Netscape launched there in 94, there were like 75 to a hundred million PCs on earth, like on the whole planet. And now it's four and a half billion smartphones.”
Benedict Evans Dec 22, 2020 ▶ 14:01
Insight
The Next 50 Years of Tech Focuses on Universal Adoption Impact
“The first 50 years of the computing industry is everyone gets a computer. Second 50 years of the computing industry is what happens once everybody's got a computer. I'm like, yes, they'll carry on getting better, but they might look more or less the same.”
Benedict Evans Dec 22, 2020 ▶ 17:39
Prediction Not checkable as stated
Google and Facebook Will Face Regulation Like Banks and Telcos
“You are going to get regulated like a telco or a bank. You know, if you work at Google or you work at Facebook, you are going to have the same kind of scrutiny that a telco or a bank have. And it doesn't really matter if you think you shouldn't. That's just wh…”
Benedict Evans Dec 22, 2020 ▶ 22:29
Opinion
Netflix Is a TV Company, Not a Tech Company
“Is Netflix a tech company? No. Netflix is a TV company.”
Benedict Evans Dec 22, 2020 ▶ 23:04
Insight
A Business Is Not a Software Company Unless Core Questions Are Software
“What questions, what are the five questions you would ask to understand what matters for this company? If none of them are software companies, it's not.”
Benedict Evans Dec 22, 2020 ▶ 23:07
Assertion Supported
Walmart's Historic Advantage Came From Database-Driven Supply Chain Efficiency
“An awful lot of the Walmart story is actually about computers because they use databases to have much more efficient supply chain and much more efficient inventory than a traditional supermarket did.”
Benedict Evans Dec 22, 2020 ▶ 26:01
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