All-In PodcastDOGE vs USAID, Crypto Framework, Google's $75B AI Spend, US Sovereign Wealth Fund, GLP-1s
At a glance
WHAT IT’S REALLY ABOUT
DOGE vs. USAID, Crypto Pivot, Google’s AI Bet, GLP-1 Revolution
- This All-In Podcast episode centers on the Trump administration’s new Department of Government Efficiency (DOGE), its aggressive audit of USAID and media funding, and the broader political realignment it may trigger. The besties and guest Antonio Gracias compare DOGE’s playbook to the Twitter/X turnaround and historic anti-waste efforts like the Truman Committee, framing it as zero-based budgeting for the federal government.
- David Sacks calls in from the White House to outline a bipartisan legislative roadmap for crypto (market structure and stablecoins), and to describe the administration’s AI reset after rescinding the Biden AI EO. The crew then debates Trump’s proposed U.S. sovereign wealth fund, whether government should act like a capitalist investor, and how to structure it to support industrial policy and debt reduction.
- On the tech side, they dissect Google’s plan to spend $75B on AI-related capex, arguing that Google’s ROIC discipline and ad optimization upside likely justify the number despite market jitters. The show closes with a deep dive on new macro data for GLP‑1 weight-loss drugs, their surprisingly broad health benefits, and how to balance them against lifestyle interventions like diet, exercise, and strength training.
IDEAS WORTH REMEMBERING
5 ideasDOGE is applying a startup-style zero-based budget to government
Antonio Gracias and David Friedberg frame DOGE as a federal-scale zero-based budgeting exercise: instead of starting from last year’s spending and adding more, every line item is reset to zero and must be re‑justified. This mirrors the early Twitter/X turnaround where they froze payments, turned off credit cards, and waited to see who complained—often exposing the worst grifters and unused software/services. The implicit playbook for founders and operators: freeze spend, audit every contract, and rebuild budgets from first principles to surface fraud, waste, and low-ROI activity.
USAID’s media and NGO funding raises perceived corruption and ‘astroturfing’ risks
Data emerging from USAID shows sharp spending increases to outlets like Politico (~$8M/year under Biden vs. ~$1.3M under Trump), the BBC (~$2.7M, ~8% of income), and Thomson Reuters’ consulting arm (~$120M since 2011, half under Biden). Sacks and Chamath argue this looks like modern ‘payola’—top‑down funding of media and political opposition groups abroad that masquerades as grassroots sentiment. For policymakers and journalists, the actionable implication is to demand disclosure rules and independent audits whenever government money flows to media or political NGOs.
Crypto is shifting from regulatory hostility to a bipartisan legislative framework
Sacks outlines a new legislative push involving four key committees (House/Senate Banking and Agriculture) to pass two major bills: (1) a stablecoin bill first, then (2) a market structure bill (akin to an updated FIT 21) defining when a token is a security vs. a commodity, how decentralization changes that status, and what disclosures are required. He contrasts this with Gary Gensler’s SEC, which he says “honeypotted” founders—inviting them in, giving no clarity, then issuing Wells notices. Founders and investors should prepare for: clearer onshore rules, more activity moving back to the U.S., and a sharper distinction between regulated projects and offshore “Bahamas-style” scams.
A U.S. sovereign wealth fund could double as stealth industrial policy
Trump’s EO to explore a U.S. sovereign wealth fund (possibly seeded with a 50% TikTok US stake and seized assets) sparks a debate. Chamath wants a small, rotating group of billionaire ‘elder statesmen’ investors (e.g., Tepper, Druckenmiller, Griffin) running it, investing into American companies and strategic sectors. Antonio emphasizes it as a way to finally give the U.S. a real industrial policy, like China’s state-directed chip and manufacturing push. Friedberg counters that government is bad at capitalism and argues the fund should focus on smarter monetization of government-owned assets (TikTok equity, seized Bitcoin, land), and potentially better management of Social Security funds—returning cash to Treasury to reduce debt rather than speculating.
Google’s massive AI capex is likely rational given its ROIC track record
Investors punished Google for announcing $75B in 2025 capex, but Friedberg and Antonio argue the spend is probably disciplined given Google’s history as the most efficient infra operator. Google has lengthened data center depreciation from ~2–3 to 6 years through custom hardware, energy efficiency, and AI‑assisted ops, and only needs roughly an incremental ~$27B/year in operating profit (depreciation + ~20% ROIC) for the plan to pencil out. They note Google’s models are likely the best general-purpose LLMs today; the challenge is translating that into products (search → chat, ads optimization, cloud). The lesson for tech operators: framing and ROIC storytelling around AI spend is as important as the raw dollar figure.
WORDS WORTH SAVING
5 quotesWhat I'm afraid of now is we have a bureaucracy that is about to turn into a kleptocracy. I mean, a Latin American-style kleptocracy.
— Antonio Gracias
What they are are read-only auditors of the truth. And it's incredible the power that read-only access gives you.
— Chamath Palihapitiya (on DOGE)
The money is all going to them. New York Times getting paid, Politico getting paid, BBC getting paid… This is astroturf, not grassroots.
— David Sacks
I think the models are basically commodities. What matters is return on capital in data centers.
— Antonio Gracias
We really haven't been unlocking people's creativity over the last 15 years… We need to let these creative people cook, and I hope that happens.
— Chamath Palihapitiya
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