The AI paradox: More automation, more humans, more work | Dan Shipper
Source
Lenny Rachitsky
Author
Lenny Rachitsky
Date
Terms in this piece · Glossary
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
Why it matters
A field-tested view from a 30-person company that runs its work inside coding agents, with concrete calls on where agentic workflows, roles like the forward deployed engineer, and SaaS tokenThe chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.Full definition → economics are heading — useful for teams deciding how to restructure work around Codex and Claude Code.
Key quotes
“I'm simultaneously extremely AI-pilled and very bullish on humans.”
Dan Shipper
“What models do in general is they make yesterday's human competence cheap.”
Dan Shipper
“What agents do is increase the number of users of SaaS, not get rid of it.”
Dan Shipper
“We speed ran the CLI era.
It was nice while it lasted, but I think CLIs are over.”
Dan Shipper
“And the mechanism is agents need people who care about them.”
Dan Shipper
Chapters
00:00Introduction to Dan Shipper
02:56Dan's unique position living in the AI future
09:17How the way we work will change in the coming year
16:39The case for general agents
18:08Codex and Claude Code as the new operating system for work
25:39How Cursor fits in
27:42How this changes what SaaS companies should build
31:13Why CLI is already over
33:34Two agents are better than one
36:22Why Dan is bullish on SaaS stocks
39:01Why automation doesn't reduce human work
47:00The value of human-written code
48:36Quick recap
50:15How work is changing
56:17Why data scientists are drowning in bad analysis
58:24Which product/tech roles are least changed by AI
1:02:17We will read way more AI-generated writing
1:08:28Why product managers will dominate the AI era
1:11:05Full-stack designers are the other big winners
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