Convergence
Four operators from different lanes — growth/SEO economics (Indig), AI research (Karpathy), LLM eval systems (Yan), and B2B SaaS strategy (McCormick) — converged inside a single week with the same structural diagnosis. Production cost is collapsing. The human comparative advantage is moving to the parts of the workflow that AI cannot compress: spec-writing, verification, judgement, named relationships, scarce-asset positioning. The teams that keep loading more execution onto the cheaper substrate without sharpening the judgement layer get squeezed; the teams that name their scarce asset and invest in it get the AI leverage.
Operators
- Kevin Indig — Building costs collapsed; judgement didn't — the squeeze is on positioning, not production. AI compresses execution but not judgement; distribution shrinks too, so positioning becomes the moat.
- Andrej Karpathy — You can outsource thinking, but not understanding — verification is the new human job. You can outsource thinking, but not understanding. Verification is the new human job.
- Eugene Yan — The middle is hollowing out — execution gets automated, leaving spec-writing and verification as the high-value human tasks. The middle of the workflow is what AI automates; spec-writing and verification stay expensive.
- Packy McCormick — As AI-driven abundance expands, demand for structurally scarce assets intensifies — humans pay a premium for the things they can't replicate. As AI abundance expands, demand for structurally scarce assets — judgement, named relationships, original taste — intensifies.
Variation
- Indig from the demand side: AI Overviews and chatbots eat distribution at the same time production costs collapse, producing a squeeze on positioning.
- Karpathy from the capability side: model spikes track data + verification loops; understanding stays human because it depends on context the model can't see.
- Yan from the workflow side: the middle of the work compresses; the endpoints don't.
- McCormick from the pricing side: scarce assets command a rising premium when the abundant tier saturates.
- Convergence: four different vantage points, same call. The economic and operational moves rhyme — spec-writing, verification, taste, brand authority, named human relationships are the parts of the work that retain value.
Implication
Three concrete moves for any operator. (1) Identify your structurally scarce asset — what's load-bearing in your work that isn't compressible. (2) Reallocate human attention away from execution work AI can do toward spec/verification/taste work AI can't. (3) Stop pricing or hiring as if the production cost matters. The cost that matters is the judgement cost, and that's where margin is going to live.
Sources
- ins_judgment-doesnt-compress — Kevin Indig (Growth Memo, 2026-05-04)
- ins_judgment-vs-understanding — Andrej Karpathy (Sequoia AI Ascent 2026 fireside, 2026-04-30)
- ins_middle-is-hollowing-out — Eugene Yan (eugeneyan.com, 2026-05-03)
- ins_scarcity-supercycle — Packy McCormick (Not Boring, 2026-05-06)