All-In's "Greatest Business Ever?" question comes with a power problem
The hosts' bullish reading of Anthropic's filing draws a fast audience, while their productivity argument prompts questions about jobs.
Why this story? The video opened at a pace of 373,252 views a day, 20 times a normal first day on this channel (18,168).
Anthropic S-1 Shocker, Greatest Business Ever? Google’s $500B Wipeout, Midterm Predictions
Things we can learn from the video
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- 5:52Sacks argues that Anthropic's convertible-note accounting loss is not a cash loss.
- 8:12Sacks says falling task-delivery costs let Anthropic cut prices while improving margins.
- 16:58Palihapitiya uses Microsoft's revenue growth and nearly flat staffing to illustrate software productivity.
- 20:16Palihapitiya identifies data centers, financing and power as central constraints on Anthropic's growth.
- 36:49Friedberg argues that governments and AI companies will compete directly for capital and energy.
- 46:42Palihapitiya weighs the investment case and risks for Anthropic's expected public offering.
"This is the most incredible business I've ever seen," Chamath Palihapitiya says. But the All-In Podcast's enthusiastic reading of Anthropic's public-offering filing also identifies a decidedly physical constraint: finding enough data centers and electricity to keep growing.
The episode reached roughly 150,000 views in six hours, an unusually fast start for the channel. Jason Calacanis moderates, with David Sacks back alongside Palihapitiya and David Friedberg for a discussion that turns the filing into an argument about where AI's money goes.
Sacks makes the bullish case: the cost of completing tasks is falling sharply, allowing Anthropic to lower prices while improving its margins. He also explains why a huge reported loss tied to convertible notes should not be mistaken for cash flowing out of the business.
Friedberg examines the chain underneath those economics, from chips and infrastructure to the companies selling AI services. Palihapitiya then brings the discussion down to its limiting resource. "It's all about data centers, which means it's all about power," he says. Financing and building that capacity become central risks in his reading of the filing.
The productivity argument is less tidy. Palihapitiya presents Microsoft's rising revenue alongside nearly unchanged staffing as evidence of what software businesses can achieve. Several viewers question the distinction between doing more with existing employees and reducing future hiring. The comment section has already attracted nearly five times the channel's usual full-day total.
Later, Friedberg argues that governments and AI companies will compete for capital and energy, extending the conversation beyond whether Anthropic itself makes an attractive investment.
Published on Trari
Where next?
- Channel
- All-In Podcast
- Subscribers
- 1,160,000
- Channel views, last 7 days
- 1,686,339
- Channel views, pace per day
- 128,333 (on a normal day: 304,552)
- Video published
- October 30, 2026
- Video views so far
- 148,116 (less than a day online)
- Video views, pace per day
- 373,252
The numbers
The episode's early views are well ahead of All-In's usual start. Its comments have also exceeded a typical full day's total.
💡 Test your knowledge
What is the name of Anthropic's AI assistant?
Claude is the AI assistant developed by Anthropic.


