All-In

Anthropic's Generational Run, OpenAI Panics, AI Moats, Meta Loses Lawsuits

with Jason Calacanis, David Sacks, David Friedberg, Chamath Palihapitiya
27 Mar 2026 28 min read 1h 43m
TL;DR

Anthropic is on a generational run with successive product releases (Claude, Opus 4.6, computer use) that are establishing enterprise dominance, while OpenAI is in "panic mode" losing consumer market share to competitors and retreating from moonshot projects like Sora. The fundamental question facing all AI companies and investors is whether to price for superintelligence disruption (making most cash flows temporary) or durable competitive advantages.

Key Moments
Jason Calacanis
“Anthropic on a generational run. And OpenAI crashing out a bit, boys. Let's chop it up here.”
Opening the main segment on AI market dynamics
▶ 2:25
David Sacks
“The company made a big bet on coding as the kind of big breakout use case. Whether that was done for business reasons or ideological reasons, I'm not sure. Anthropic is sort of the most AGI pilled of all the frontier labs and I think they made this bet on coding as their way to get to recursive self-improvement.”
Explaining Anthropic's strategic focus on coding as a path to both enterprise revenue and AGI goals
▶ 4:43
Chamath Palihapitiya
“From an enterprise lens, which is where I see most of the action, particularly through 80/90, it's all Anthropic all the time. And I agree with Sachs. My philosophical issues with the management aside around their ideology and sometimes how they use some of the capital for things other than tech and R&D. I have issues with those things. But in terms of the quality of that technical team and what they create it's head and shoulders above anything else.”
Defending Anthropic's technical superiority in enterprise despite ideological disagreements
▶ 9:26
Chamath Palihapitiya
“I don't think that it's going to be free. I think there's 290 million subscribers for Spotify. They're paying What are they paying? 20 bucks a month or something? Netflix has 325 million paid subscribers. And AI that can book your travel, answer questions for you, track your calendar, do your email, etc. etc. etc. is likely going to be the most valuable, call it meta service that consumers have ever seen.”
Arguing against the assumption that consumer AI will be free, comparing to entertainment and telecom subscriptions
▶ 21:11
Chamath Palihapitiya
“If super intelligence is coming, we have to be very careful about what we're willing to pay for these things... the market is completely flipped the other way [for Mag 7]. And what they're saying is, we believe that these cash flows are essentially monopolistically durable forever.”
Explaining why SaaS stocks are being re-rated downward while Mag 7 companies maintain high valuations
▶ 32:24
About the show
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All-In is a weekly podcast featuring four tech entrepreneurs and investors discussing the latest news in AI, business, and politics. The hosts debate market trends, corporate strategy, and the implications of emerging technologies with candid, informed perspectives.
Takeaways
1
Anthropic's coding bet drives enterprise moat By focusing on code generation as the breakout use case, Anthropic unlocked both a philosophical path to AGI and a practical bridge into enterprise IT budgets. This enabled rapid revenue growth and natural product extensions (CloudCraft → Co-Work → Computer Use agents) that keep enterprises sticky and deepen competitive advantages.
2
OpenAI losing market share across consumer ChatGPT's consumer market share dropped from 100% (2023) to 75% (2025) as Apple, Meta, and Windows enter with free/integrated alternatives. Meanwhile, OpenAI is cutting moonshot projects (Sora) and pivoting to enterprise, suggesting leadership acknowledges they cannot win consumer long-term against platform players willing to subsidize AI.
3
Valuation crisis hinges on superintelligence belief If superintelligence arrives soon, all business cash flows become temporary, collapsing SaaS multiples (Snowflake down 50% from 100-year payback). But if durability persists, Mag 7 valuations are justified. This binary creates asymmetric risk: PE firms buying up service businesses to own the AI transition, while SaaS investors demand higher near-term cash yields over equity upside.