Ep 91: Top AI Analyst Unpacks Today's AI Hype Cycle
Unsupervised Learning with Jacob Effron
11 HOURS AGO
Ep 91: Top AI Analyst Unpacks Today's AI Hype Cycle
Ep 91: Top AI Analyst Unpacks Today's AI Hype Cycle

Unsupervised Learning with Jacob Effron
11 HOURS AGO
Shownote
Shownote
Benedict Evans, one of tech's most widely-read analysts, joins Jacob Effron. The conversation centers on Benedict's core thesis that comparing AI's scale to past platform shifts (the internet, mobile, PCs) is analytically useless, and that the more product...
Highlights
Highlights
In this episode of Unsupervised Learning, Benedict Evans discusses the economic and structural implications of AI, arguing that comparing it to past platform shifts like the internet or mobile is analytically unhelpful. He focuses on how value will accrue, the jagged nature of AI capabilities, and the uncertainty surrounding its physical limits.
Chapters
Chapters
Intro
00:00Is AI Bigger Than the Internet?
01:31Barriers of Getting From Demos to Daily Use
10:10Why Job Predictions Fail
20:15Where's the Moat?
25:52Will Models Eat the App Layer?
33:55When Average Isn't Enough and Models Don't Work
39:25Reflections on OpenAI
45:58Consumer Usage Is Still Shallow
55:04What's Required for More Enterprise Adoption
58:51Opinion on Sora
1:03:47Quickfire
1:06:27Transcript
Transcript
Benedict Evans: You can wave your hands and say, no, this is like electricity, Okay, fine, it's like electricity. Well, what happened with electricity? And there was a time before electricity, and people before electricity weren't dumb either.
Jacob Effro...