Y Combinator

Aaron Levie: Why Enterprise Buys Outcomes, Not Models

By treating intelligence as a commodity layer like storage or compute; B2B AI startups capture Jevons paradox gains as enterprise adoption stays under 1%.

ALAaron LevieguestGTGarry TanhostJFJared FriedmanhostDHDiana HuhostHTHarj Taggarhost

Feb 19, 2025·49m·Watch on YouTube ↗

📖 CHAPTERS

1. 1
   0:00 – 1:15

   Intro

2. 2
   1:15 – 4:44

   Why the GPT wrapper was a bad meme

3. 3
   4:44 – 8:38

   Enterprise users just care about getting workflow done

4. 4
   8:38 – 12:47

   What does it mean for startups as intelligence becomes a commodity?

5. 5
   12:47 – 20:19

   Do Fortune 500’s have any interest in underlying models?

6. 6
   20:19 – 27:04

   What are enterprise execs thinking about AI right now?

7. 7
   27:04 – 28:17

   Is Box investing in internal AI tools?

8. 8
   28:17 – 34:50

   What will enterprises build internally and what will they buy solutions for?

9. 9
   34:50 – 36:16

   Is enterprise concerned with third-parties and security?

10. 10
    36:16 – 39:46

    Shout-outs to Aaron!

11. 11
    39:46 – 48:38

    The transition from cloud to AI

12. 12
    48:38 – 49:28

    Outro