Snapshot · The Diary Of A CEO with Steven Bartlett
In 1930, economist John Maynard Keynes predicted that by 2030 productivity gains from automation would mean people need only work 10-15 hours per week — productivity has tracked his forecast, but hours worked have not fallen.
Where this was said
At 45:15 · chapter starts 41:00
Bartlett raises Bernie Sanders's proposal for 50% public ownership of AI companies, and Buttigieg engages seriously with the principle while questioning the mechanism. A public share of profits — perhaps via regulation rather than board seats — makes sense because AI was trained on publicly generated data and built on the DARPA-funded internet. The aviation safety analogy illuminates his preferred model: the FAA does not build aircraft but sets the rules that produced zero commercial fatalities across 4 billion passenger journeys during his tenure. He then invokes Keynes's prescient 1930 essay, which predicted a 10-15 hour work week by 2030 based on automation productivity — a productivity forecast that has come true, but whose predicted leisure dividend has not arrived, proving that better outcomes require deliberate policy rather than technological inevitability. [1] — Pete Buttigieg "During Pete Buttigieg's tenure as Transportation Secretary, 4 billion people boarded commercial flights with zero fatalities. This is the m…" 47:37 [2] — Pete Buttigieg "AI trained on publicly generated data and a DARPA-funded internet. The American taxpayer built the foundation for trillion-dollar AI compan…" 43:20
OpenAI CEO Sam Altman has stated that by the end of 2028, more of the world's intellectual capacity could reside inside data centres than outside them.
AI trained on publicly generated data and a DARPA-funded internet. The American taxpayer built the foundation for trillion-dollar AI companies — and Pete Buttigieg believes it is time for a public dividend in return. Get the policy right and you get a shorter work week with more money in your pocket.
Despite strong download numbers, PropGPT could not push past $1,000–$2,000 MRR due to poor product retention.
After their rebuilt app launched, Eyal and Yali hit $30,000 MRR in just 10 weeks.
PropGPT achieves a 48% conversion rate from app download to free trial sign-up.
For every user who downloads PropGPT, Eyal and Yali generate approximately $3.30 in revenue.
Before the rebuild, PropGPT had a 45% download-to-trial rate but only 13% trial-to-paid conversion, revealing a product quality problem.
PropGPT peaked at $40,000 MRR and 2,000 downloads in a single day during the NBA playoffs campaign.
A single viral influencer video with 600,000 views drove PropGPT's ARR from approximately $8K to $38K in about 3 days.
PropGPT runs at roughly 50% profit margins after accounting for marketing, data APIs, hosting, and tooling costs.
PropGPT spends approximately $10,000 per month on influencer marketing.
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