Patrick O'Shaughnessy

Patrick O'Shaughnessy × Gabe Stengel

Rogo’s model-era progression—from o1 Pro’s reliable search to Opus 4.5 handling junior finance work—supports a two-year race to redesign investment firms, not wait for better models.Its wedge is private-market dealmaking, where data rooms, DDQs, CRM and LP reporting still lack infrastructure, while high-value ideas can justify extreme token spend.The watchpoints are compaction, standardization, and whether incumbents move aggressively enough.

Patrick O'Shaughnessy × Eric Vishria

AI is likely to produce an oligopoly plus $100B specialists, not a single winner-take-all lab, while Fireworks shows inference’s hidden moat: roughly 5X speed and multiple-X throughput on the same models and NVIDIA hardware.SaaS incumbents now face “Get to AI or be worth three times revenue,” as migration becomes easier and cost, iteration speed, and transportability matter more, with energy—especially China’s roughly tenfold buildout next year—the key constraint.

Patrick O'Shaughnessy × John Kim

John Kim frames fundraising as a trust problem: desire minus fear drives action, while returns alone miss the motivations of most LPs and committees rarely make contrarian bets.His operating rules are to anchor scale to the first close, simplify the story, choose two of size, speed and terms, and build pipeline through conversion and bite size without sacrificing the differentiation that created the franchise.

Patrick O'Shaughnessy × Scott Nolan

America’s zero commercial uranium-enrichment capacity makes fuel the bottleneck for advanced nuclear power, with HALEU scarcity and the January 1, 2028 Russian-import ban creating defined market openings.General Matter targets dollars per kilogram-SWU as its cost metric, while data-center demand and behind-the-meter SMRs could accelerate deployment; execution, permitting, and the economics of nuclear construction remain key risks.

Patrick O'Shaughnessy × Mitchell Green

Mitchell Green sees public software as a potential risk-adjusted opportunity because distribution, customer success, and switching costs still protect incumbents such as Workday despite AI disruption fears.He expects the AI capex bubble to end badly as models commoditize, with the eventual drawdown creating an entry point, while Lead Edge’s sell discipline and 70% special-situations allocation offer nearer-term liquidity advantages.

Patrick O'Shaughnessy × Dan Sundheim

Dan Sundheim sees a moment-in-time opportunity in late-stage privates, where some of the largest companies by market cap remain private, and AI-lab investments inform public-equity analysis.The LLM debate now centers on unprecedented capital intensity: four or five models may endure, while hyperscalers could grow faster yet worsen as labs potentially insource compute in 5-10 years; software, scaling laws, and training returns remain watchpoints.

Patrick O'Shaughnessy × Josh Kushner

Thrive’s concentrated bets in Stripe at $50B and OpenAI reflect a long-term conviction that value will concentrate in fewer, much larger private and public companies.Its three-bucket strategy spans AI-native leaders, enabling infrastructure and permanent-capital Holdings, while the unresolved risk is that AI’s paradigm shift will also produce substantial capital loss.

Patrick O'Shaughnessy × Alex Behring × Daniel Schwartz

3G’s concentrated model makes downside discipline and end-customer ownership the core tests, with one investment per fund and house capital as the largest check.Burger King’s cited 25x return came mainly from expanding restaurants from 12,000 to north of 30,000, while Skechers shows the opposite mandate: protect growth.With valuations “more stretched” and capital abundant, the next test is finding founder- and family-controlled businesses worth owning for decades.

Patrick O'Shaughnessy × Ben Horowitz

Ben Horowitz expects AI’s economic impact within 12–24 months because adoption needs no new infrastructure, while lower energy prices, less regulation, and a friendlier tax code strengthen the backdrop.AI-native companies such as Cursor can reach over $1B in revenue rapidly even as Salesforce and SAP remain difficult targets, but policy remains the tail risk and private markets must support companies toward a roughly $1B IPO threshold.

David Senra × Patrick O'Shaughnessy

Patrick O'Shaughnessy's operating principle—championing enormous unrealized potential—now guides his roughly 16-person team and founder selection.Colossus applies a “best story wins” framework to scarce, difficult-to-copy attention, with profiles requiring months or years and emphasizing originality, hardship, and customer transformation.The profiles could eventually dwarf the podcast, expanding beyond David Senra's bandwidth, while Patrick's attention shifts remain an execution risk.