AI Makes Engineers 100x Faster. Why Aren’t Companies? — Jared Green

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AI can make one engineer feel 100x faster. Jared Green explains why companies aren’t becoming 100x more effective—and why the bottleneck moves into review, coordination, technical debt, and the systems around abundant code.

Chapters

1. 0:00 When code becomes abundant, what stays scarce?

2. 1:36 Why enterprise AI transformation stalls

3. 5:37 How to measure AI productivity

4. 9:29 The human pace car

5. 12:36 Jared’s unconventional path into engineering

6. 26:53 Microsoft, Windows Phone, and choosing the hard problem

7. 39:33 What AI changes about talent and teams

8. 45:51 The new operating model for AI engineering

9. 49:56 AI slop, engineering waste, and technical debt

10. 54:12 Are humans the bottleneck?

11. 59:10 Why Jared started Autar

12. 1:03:29 Stop shifting work. Eliminate it.

13. 1:13:16 Does AI absorb the next constraint?

14. 1:17:36 Do junior engineers still have a future?

15. 1:26:16 Leaving Big Tech to become a founder

16. 1:40:49 Where LLMs may hit their limits

Timed transcript · Full show notes and sources

Disclosure

Adil Wali is an investor in Autar. Jared Green is Autar’s founder, and the company is discussed in the episode.