AI research company that develops large language models and products including ChatGPT and the GPT series.openai.com ↗
64 takes · first discussed May 10, 2024 · last May 8, 2026 · 12 stance reversals
Private company — no public price to score. We track what they said; valuation-mark tracking is on the roadmap.
Chamath believes OpenAI is a multi-trillion-dollar company and that its missed targets are entirely a supply-side power/compute constraint, not a demand problem, making the business fundamentally sound long-term.
Jason signals a shift away from OpenAI, canceling $25,000 in subscriptions in favor of open-source models run on local hardware, citing cost, data control, and the improving quality of open-source alternatives as reasons the economics no longer favor closed models.
Sacks notes OpenAI's growth rate is reaccelerating with GPT-5.5/Codex and believes it will take meaningful share in coding — the dominant AI revenue category — though Anthropic currently leads the race.
Friedberg warns that pent-up selling pressure, dwindling Middle East capital flows due to the Iran conflict, and limited retail buying power could create a liquidity crunch that weighs heavily on OpenAI's post-IPO valuation.
Travis Kalanick warns that if Anthropic is growing materially faster than OpenAI at similar scale, the network effects around compute, tokens, and reinforcement learning will compound Anthropic's lead in a winner-take-most dynamic, leaving OpenAI in a structurally weakening position.
The hosts hold a deeply divided but increasingly nuanced view of OpenAI: Sacks and Chamath (in their more recent bullish modes) point to explosive revenue growth (from ~$5B to a projected $100B run-rate), dominant consumer mindshare via ChatGPT, and a concentration of elite talent as evidence of a multi-trillion-dollar franchise, with guest bulls like Gerstner and Hoffman reinforcing the scale and distribution thesis. Jason is the most consistently bearish, repeatedly arguing OpenAI has peaked, faces existential competition from Google, Meta, and xAI, and that its valuation is unsupported given commoditizing models, developer disloyalty, and legal risks around its nonprofit-to-for-profit conversion. Chamath occupies a notably split position across time — oscillating between bull and bear — acknowledging OpenAI's technical leadership and consumer dominance while warning that open-source commoditization (the "AOL moment" risk), executive churn, overcapitalization, and market fragmentation could erode its durable value; Friedberg is similarly mixed, flagging an ARPU problem, defensive product posture, and uncertain enterprise traction as structural concerns even as he acknowledges the bull case around model and infrastructure leadership. The broadest area of agreement is that OpenAI currently holds the leading consumer AI position and has real revenue momentum, but the durability of its moat — against open-source models, big-tech distribution advantages, and faster-growing rivals like Anthropic — remains the central unresolved debate among all four hosts.
Chamath believes OpenAI is a multi-trillion-dollar company and that its missed targets are entirely a supply-side power/compute constraint, not a demand problem, making the business fundamentally sound long-term.
I think they're going to be fine. I think this is a multi-trillion-dollar company... To the extent that OpenAI missed, I think what that is is an insight to not enough compute capacity today.”8:29
Jason signals a shift away from OpenAI, canceling $25,000 in subscriptions in favor of open-source models run on local hardware, citing cost, data control, and the improving quality of open-source alternatives as reasons the economics no longer favor closed models.
What's going to happen is 90% or 95% of our jobs are going to go to this local hardware. We'll control it. We don't have to worry about our information going up to Sam Altman. I canceled— well, you know, I canceled all of my OpenAI”1:02:23
Sacks notes OpenAI's growth rate is reaccelerating with GPT-5.5/Codex and believes it will take meaningful share in coding — the dominant AI revenue category — though Anthropic currently leads the race.
Their rate of growth appears to be accelerating now. Because of, uh, 5.5. So look, there's reason to believe that OpenAI can take some share here.”19:41
Friedberg warns that pent-up selling pressure, dwindling Middle East capital flows due to the Iran conflict, and limited retail buying power could create a liquidity crunch that weighs heavily on OpenAI's post-IPO valuation.
There's only so much capital in the world... a large chunk of it has historically in the last couple of years come from Middle East sovereigns and family offices. And I think that those are likely going to tighten up in the near term.”26:56
Travis Kalanick warns that if Anthropic is growing materially faster than OpenAI at similar scale, the network effects around compute, tokens, and reinforcement learning will compound Anthropic's lead in a winner-take-most dynamic, leaving OpenAI in a structurally weakening position.
If Anthropic is growing faster than OpenAI by a significant clip, the investors right now are going to play it forward... if they are half the growth rate, a third the growth rate, a fifth the growth rate, I would be— I'd be worried.”16:09