Software Stocks Implode, Claude's Hit List, State of the Union Reactions, Trump's Tariff Pivot
Jason Calacanis (host), Chamath Palihapitiya (host), David Sacks (host), David Friedberg (host), David Sacks (host)
In this episode of All-In Podcast, featuring Jason Calacanis and Chamath Palihapitiya, Software Stocks Implode, Claude's Hit List, State of the Union Reactions, Trump's Tariff Pivot explores aI anxiety hits markets, while politics and tariffs dominate debate The episode opens with a discussion of how Anthropic/Claude announcements and a viral “AI doom” Substack narrative coincided with sharp drawdowns in software, cybersecurity, and legacy IT names—raising the question of whether AI is structurally compressing SaaS multiples or merely triggering tactical de-risking.
AI anxiety hits markets, while politics and tariffs dominate debate
The episode opens with a discussion of how Anthropic/Claude announcements and a viral “AI doom” Substack narrative coincided with sharp drawdowns in software, cybersecurity, and legacy IT names—raising the question of whether AI is structurally compressing SaaS multiples or merely triggering tactical de-risking.
Chamath frames markets as shifting from a predictable “when do cash flows slow?” mindset to an uncertain “if these cash flows are durable at all” mindset, which drives multiple compression and higher discount rates. Sacks and Friedberg argue about whether AI causes net job destruction or instead triggers Jevons-paradox demand expansion, while JCal shares hands-on examples of “agentic” automation inside his firm.
They then pivot to data centers and energy, arguing local opposition is materially delaying U.S. AI capacity; Sacks highlights a White House “Ratepayer Protection Pledge” concept to reduce backlash by making hyperscalers fund incremental power.
The back half covers reactions to President Trump’s State of the Union—especially Democrats refusing to stand for certain applause lines—and finishes with the Supreme Court striking down emergency-power tariffs, followed by Trump’s pivot to alternative statutory tariff authority.
Key Takeaways
Markets are repricing tech from “when” risk to “if” risk.
Chamath argues investors used to debate timing of cash-flow erosion; now AI introduces unpriceable event risk that pushes P/Es and revenue multiples down while raising WACC to demand a larger margin of safety.
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AI headlines can function as catalysts for broad de-risking.
Beyond fundamentals, Chamath points to hedge funds “degrossing” (shrinking gross exposure), which creates generalized selling pressure that can make sector moves look AI-driven even when positioning is the main driver.
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The ‘AI doom spiral’ narrative moved markets, but motives and evidence are contested.
Sacks questions whether the viral Substack scenario was organic, citing claims that a co-author was tied to a fund reportedly shorting referenced names; he emphasizes uncertainty and criticizes “science fiction masquerading as analysis.”
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SaaS used to be valued like a ‘growth annuity’—AI disrupts that predictability.
Sacks explains traditional SaaS valuation leaned on stable ARR and net dollar retention; AI introduces uncertainty around pricing models, growth ceilings, and competitive moats, making prior multiples harder to justify.
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AI may increase demand for software labor even while reducing per-unit coding cost.
Sacks cites data points (e. ...
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Within firms, agents shift work from execution to orchestration.
JCal describes deploying internal agents to automate ad-sales research, weekly activity summaries, clip creation, and thumbnail learning loops—reducing the need for new hires while redeploying staff to higher-leverage tasks.
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Data-center opposition is becoming a first-order constraint on U.S. AI growth.
The hosts cite dozens of canceled/contested projects and argue permitting/litigation risk can translate into lost compute, lost revenue, and strategic disadvantage versus faster-moving regions (e. ...
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A ‘ratepayer protection’ framing aims to defuse local backlash.
Sacks says the pledge concept is for hyperscalers to fund incremental power needs or build behind-the-meter generation so residential electricity rates don’t rise—turning a political liability into a pro-build coalition.
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Tariffs likely persist despite the SCOTUS loss, via alternate statutes.
Sacks argues the ruling is a detour, not an end: the administration can use Section 122 (temporary 15% for 150 days) while building administrative records to invoke broader authority under Sections 301/338.
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Notable Quotes
“We used to debate when. This is no longer a when moment. The market is very much in an if mode.”
— Chamath Palihapitiya
“The conversation about AI is really just a marketplace of competing science fiction narratives.”
— David Sacks (citing Derek Thompson)
“Every single knowledge work job is being automated right now.”
— Jason Calacanis
“The economy is not a pie, it’s a garden, and technology is rain.”
— David Sacks
“If we don’t put them here, someone else will put them on their shores… and that value will accrue elsewhere.”
— David Friedberg
Questions Answered in This Episode
On the ‘Claude hit list’: which of the cited stock moves were truly AI-threat driven versus simply crowded trades unwinding during degrossing?
The episode opens with a discussion of how Anthropic/Claude announcements and a viral “AI doom” Substack narrative coincided with sharp drawdowns in software, cybersecurity, and legacy IT names—raising the question of whether AI is structurally compressing SaaS multiples or merely triggering tactical de-risking.
Get the full analysis with uListen AI
What specific SaaS subcategories are most vulnerable to foundation-model ‘feature absorption’ (e.g., CRM add-ons, security workflow tools, legal research), and which have the strongest moats?
Chamath frames markets as shifting from a predictable “when do cash flows slow? ...
Get the full analysis with uListen AI
Regarding the viral ‘Global Intelligence Crisis’ post: what concrete indicators would distinguish organic virality from coordinated amplification tied to a short thesis?
They then pivot to data centers and energy, arguing local opposition is materially delaying U. ...
Get the full analysis with uListen AI
JCal’s internal agents: what were the biggest failure modes (hallucinations, permissions, security, process drift), and what governance did you implement to prevent them?
The back half covers reactions to President Trump’s State of the Union—especially Democrats refusing to stand for certain applause lines—and finishes with the Supreme Court striking down emergency-power tariffs, followed by Trump’s pivot to alternative statutory tariff authority.
Get the full analysis with uListen AI
If software engineering demand rises via Jevons paradox, what happens to wages—do they compress, polarize (top talent up, average down), or stay elevated?
Get the full analysis with uListen AI
Transcript Preview
All right, everybody. Welcome back to your favorite podcast, the All-In Podcast. Today, we have a Conspiracy Corner episode for you. We're gonna go over the nine eleven inside job, we're going over flat Earth, JFK assassination.
[laughs]
It's gonna be all conspiracy all the time after our amazing-
[laughs]
... blockbuster episode during ski week. We're going all conspiracy here. Our guest today, Alex Jones.
How many views did it get? Nine views? [laughs]
I, I mean, it's tough when you have one out of four besties. It doesn't... Michael Tracy is on standby.
Not true. Not true.
I don't... Not true.
I can carry an episode for at least four hundred thousand views.
I mean, you might.
[laughs]
You might. I liked your... Hey, for people who don't know, Chamath has his own YouTube channel. He's got his escape hatch for when this train wreck burns to the ground. He started his own YouTube channel. He's hedging his bets. Friedberg's working on his solo project. Everybody's doing solo project. The band's got a lot of solo projects going on.
The Beatles are experimenting. The Beatles are experimenting.
They're experimenting. We got a little Yoko Ono [laughs] situation-
Yeah
... going on here. You know what the number one topic for this show was by the All-In AI bot, Sacks?
What's that?
The number one was Dario versus Hegseth. The, uh, Department of War versus Anthropic was the number one-
Yeah
... topic selected by our AI bot. As a programming note for folks, that decision will be made end of the day Friday when this podcast comes out, so we will talk about it next week, but let's get to work. We've got a full docket. The Claude kill list has expanded, and an AI fan fiction Substack tanked your 401 [k] on Monday. Let's get into it. Anthropic's generational run continues. They're now three for three in tanking different market sectors, Chamath-
[laughs]
... in February. Congratulations. [clapping] This is like, they, they took the, the mantle from Brad Gerstner, uh, tanking the market.
The Anthropic [beep] list.
It is. February 3rd, Anthropic announces, "Hey, we got a legal plugin for Claude, Cowork." Thomson Reuters, LexisNexis, LegalZoom all down at least 10% since February 3rd. Then on February 20th, Claude Code Security is announced in a limited research preview. Stocks tank again. CrowdStrike, Cloudflare, Okta all down. Then February 23rd, Anthropic announces Claude can modernize COBOL databases. If you don't know COBOL, that's the, like, oldest coding language in the world. That's where Sacks learned to code when he was in college in the '70s. It's used for banking, payroll, government.
Healthcare.
Healthcare. It runs 95% of ATMs in the US, and it powers Social Security payments. 85% of all COBOL code runs on IBM machines, so IBM decided they would tank 13% on Monday, their worst day since 2000, $31 billion in market cap losses. So let's stop here before I get into the fan fiction piece. What's your take here of what's happening in the market, Chamath? Is this simply people are looking for an excuse to trim their positions 'cause things have been top ticking, all-time highs, and people are just looking for an excuse? Or is this reality? Is this the go-forward reality that AI is going to compress these kind of stocks because it solves a lot of problems?
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