David Sacks
Entrepreneur, investor, and co-host of the All-In podcast. He is co-founder and partner at Craft Ventures; previously served as PayPal’s first product leader and COO, and founded Yammer, which Microsoft acquired for $1.2 billion. He also publicly discusses AI policy and AI-sector economics.
Leverage and Rising Yields Expose the AI Trade’s Fragility
The All-In hosts argue that the AI boom’s long-term productivity promise is colliding with immediate financial and political constraints: a chip-stock selloff exposed the danger of leverage, while higher Treasury yields are raising the cost of betting on distant AI returns. David Sacks maintains that frontier labs’ revenue and compute access support the infrastructure buildout, but Chamath Palihapitiya and David Friedberg question where the economics will ultimately accrue as open models, energy limits and cheaper alternatives reshape the market. They also cast the fight over AI safety, training data and regulation as a contest over who gets to control the technology’s future.
AI Competition Will Turn on Model Rules, Data Control, and Power
All-In panelists David Sacks, Chamath Palihapitiya and David Friedberg argue that AI policy is becoming a contest over who controls model approvals, enterprise data and the power needed for data centers. Sacks backs Demis Hassabis’s proposal for a narrowly focused, industry-led safety body over a conventional AI regulator, provided it does not become a gatekeeper for incumbent labs; the panel makes a parallel case against state data-center moratoria and closed enterprise AI stacks that could limit cheaper alternatives.
Frontier AI Labs Face an Enterprise ROI Test
The panel’s central dispute is whether frontier AI labs can sustain premium pricing as enterprises shift routine work to cheaper models and begin demanding returns on rising token spend. Chamath Palihapitiya argued that customer ROI remains thin and could make current revenue growth fragile, while Altimeter’s Brad Gerstner said frontier capability will retain value in high-stakes research, engineering, and discovery—supporting potential trillion-dollar IPOs for Anthropic and OpenAI. The group also cast sovereign AI, China’s possible restrictions on model access, and Trump Accounts as contests over who controls strategic technology and long-term asset ownership.
Enterprise AI Buyers Are Turning Sovereignty Into a Vendor-Control Fight
The Palantir-Nvidia partnership is presented as evidence that enterprise AI safety is becoming a question of customer control rather than model access. David Sacks, Chamath Palihapitiya, David Friedberg and Jason Calacanis argue that companies and governments should not hand proprietary data, model weights, compute decisions and operating know-how to frontier labs that may later compete with them. The discussion extends from that AI sovereignty argument into a separate jobs dispute over whether current employment data can answer future displacement claims, and into fights over birthright citizenship and California’s budget as questions of institutional authority and fiscal accountability.
SpaceX, Anthropic, and Iran Test the Case Against Centralized Power
The All-In panel uses a week of fights over welfare, SpaceX, Anthropic and Iran to argue over who should hold power when risk is high: markets and individuals, or political and corporate gatekeepers. David Friedberg, David Sacks and Chamath Palihapitiya cast much of the discussion as a warning against centralization, from benefit systems that can weaken agency to AI safety regimes that could hand control to governments and hyperscalers. Jason Calacanis shares parts of that concern but presses the practical tensions, especially in the Anthropic dispute and in Trump’s Iran memorandum, where he questions whether the war that produced a possible deal was necessary.
Anthropic’s Fable Backlash Exposes the Risk of Hidden AI Gatekeeping
The All-In panel argues that Anthropic’s handling of Claude Fable 5 turned AI safety into an enterprise trust problem, with Jason Calacanis, Chamath Palihapitiya, David Sacks and David Friedberg focusing on hidden downgrades, prompt retention and a provider’s power to decide who receives full model capability. The same concern over opaque discretion shaped their California election discussion, where Friedberg and Sacks argued that legal ballot rules can still produce outcomes voters view as manipulated, while Calacanis called for investigation rather than treating suspicious statistics as proof of fraud.
AI Compresses Years of Software Vulnerability Discovery Into Weeks
Palo Alto Networks chief executive Nikesh Arora told the All-In podcast that AI has changed cybersecurity by making years of latent software vulnerabilities discoverable in weeks. After testing Anthropic’s Claude Mythos against Palo Alto’s own code, Arora said the company found flaws that would normally have taken five to seven years to identify, raising the stakes for enterprises with weaker defenses. His broader argument was that AI will erode analytical SaaS while increasing the value of data infrastructure, workflow redesign and security systems that can make model outputs reliable enough for production.
Tech Founders Argue IPOs Can Create More Upside After Listing
At an All-In Liquidity IPO panel, Altimeter’s Brad Gerstner, Cerebras chief executive Andrew Feldman and Planet Labs chief executive Will Marshall made the case that public markets are again becoming a place where venture-backed technology companies can compound, not merely exit. Gerstner argued that investors often give up large gains by forcing distributions after an IPO, while Feldman said more money is historically made after companies go public than before. Marshall and Feldman also described the IPO less as an operating transformation than as a change in capital, credibility and scrutiny, with execution still determining whether the listing creates lasting value.
Short Selling Returns as Stock Selection Replaces Broad Market Bets
Dan Loeb, founder of Third Point, argues that markets have moved back toward stock picking and short selling, but not in the simple sense of betting against expensive companies. In an All-In interview, he says the useful short now requires a clear mechanism of deterioration, while long investing increasingly depends on understanding technology, business durability, management adaptability and the limits of old market-cap assumptions. Loeb presents Third Point’s evolution as an accumulation of tools: event-driven investing, activism, credit, venture-style technology work and a renewed need for selectivity.
Ackman Says AI Threats Are Leaving Durable Incumbents Mispriced
Bill Ackman told the All-In hosts that Pershing Square’s investment filter has shifted toward durable business quality while remaining activist where influence can extend a company’s time horizon. He argued that AI has made disruption risk the first question for long-term investors, even as markets may be overlooking incumbents such as Microsoft, Meta and Amazon. Ackman also cast founder control, valuation discipline and permanent capital — including his Howard Hughes project — as ways to underwrite businesses through a period when public markets and CEOs are still working out AI’s practical effects.
OpenAI CFO Says Compute Scarcity Will Define Its Next Phase
OpenAI CFO Sarah Friar used an All-In interview to frame the company less as an IPO candidate chasing public-market timing than as an infrastructure-scale AI business trying to finance scarce compute, broaden distribution, and defend the intelligence layer between users and the underlying technology. Friar argued that OpenAI’s consumer and enterprise products are meant to compound off the same foundation, even as the company raises unprecedented capital, diversifies cloud and chip supply, and considers ads without letting sponsored results distort ChatGPT.
AI Governance Fight Shifts to Centralization, Open Models, and Worker Agency
On All-In, Bill Gurley joined Jason Calacanis, David Sacks and Chamath Palihapitiya for a debate framed less around whether AI is powerful than around who will control it. The panel read Pope Leo XIV’s AI encyclical as a warning about concentrated power, but split over the remedy: Sacks argued government regulation could become the centralizing threat, while Gurley and others scrutinized Anthropic’s safety posture as either regulatory strategy or something closer to a belief in building a superior intelligence. Their practical conclusion was that open models, swappable systems and worker fluency are the main checks against AI power consolidating in a few labs or agencies.
Los Angeles Must Restore Law Enforcement Before It Can Rebuild
Spencer Pratt frames his Los Angeles mayoral run as a response to basic government failure, beginning with the Palisades fire that destroyed his home. He argues that Los Angeles stopped doing core public work — enforcing laws, preparing for fires, tracking public money and approving building — and says recovery depends first on public-safety enforcement, audits of institutions spending taxpayer funds and replacing bureaucratic discretion with accountable management.
SpaceX-Anthropic Deal Highlights Compute as AI’s Revenue Bottleneck
The All-In panel used SpaceX’s compute deal with Anthropic to argue that frontier AI is now being constrained less by demand than by access to power, GPUs and data-center capacity. David Sacks warned that Anthropic’s reported revenue trajectory could make it a historic monopoly if sustained, while Brad Gerstner pushed back that the market is still too early and competitive for pre-emptive regulation. The discussion turned on whether AI safety concerns justify coordination with government or risk becoming an “FDA for AI,” and whether the AI boom will ultimately show up as measurable productivity and profit for customers buying tokens.