The man who helped OpenAI to go from millions to billions in revenue - Zack Kass [Open AI]
Today on BILLIONS, I'm sitting down with the man who had the hardest sales job in Silicon Valley history: Zack Kass.
Before ChatGPT was a household name, it was just a research lab. Zack was Head of Go-To-Market. He joined when OpenAI was around a hundred people doing two million in revenue. His job? Sell human-level intelligence to Fortune 500 executives who didn't even know what a token was.
He built the playbook for Microsoft. For Coca-Cola. He turned a nonprofit lab into an eighty billion dollar superpower.
Then he walked away.
Zack, thanks a lot for being here!
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TIMELINE
00:00:00 - 00:06:34 : Joining OpenAI as the first sales person
00:06:34 - 00:09:47 : The early GPT-3 wrapper ecosystem
00:09:47 - 00:11:03 : Strategy behind ChatGPT's development
00:11:03 - 00:16:45 : The chat interface decision and market response
00:16:45 - 00:21:04 : ChatGPT's explosive growth and company atmosphere
00:21:04 - 00:26:45 : Lessons from viral growth and Microsoft partnership
00:26:45 - 00:30:21 : Scaling challenges and the "bigger boat" moment
00:30:21 - 00:33:44 : Personal burnout and health crisis
00:33:44 - 00:37:29 : AI as humanity's last invention
00:37:29 - 00:45:21 : Technology, inequality, and policy failures
00:45:21 - 00:48:35 : Global AI competition and geopolitics
00:48:35 - 00:50:18 : AI's potential to solve major problems
00:50:18 - 00:54:33 : The next renaissance and education transformation
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Chapters (13)
00:06:34 : Joining OpenAI as the first sales person
6:34
00:09:47 : The early GPT-3 wrapper ecosystem
9:47
00:11:03 : Strategy behind ChatGPT's development
11:03
00:16:45 : The chat interface decision and market response
16:45
00:21:04 : ChatGPT's explosive growth and company atmosphere
21:04
00:26:45 : Lessons from viral growth and Microsoft partnership
26:45
00:30:21 : Scaling challenges and the "bigger boat" moment
30:21
00:33:44 : Personal burnout and health crisis
33:44
00:37:29 : AI as humanity's last invention
37:29
00:45:21 : Technology, inequality, and policy failures
45:21
00:48:35 : Global AI competition and geopolitics
48:35
00:50:18 : AI's potential to solve major problems
50:18
00:54:33 : The next renaissance and education transformation
🎓
Tutor Explanation
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