CHAPTERS
Goldman’s funding pivot: why being the biggest wholesale funder is a bad trophy
David Solomon explains how Goldman shifted from heavy reliance on institutional/wholesale funding toward more stable deposit funding. He frames funding and liquidity as a core strategic risk for institutional financial firms and describes the progress Goldman has made building deposits from essentially zero.
From private partnership to public company—keeping the culture while adding strategy
Solomon reflects on Goldman’s evolution since its 1999 IPO and why going public was necessary to remain globally competitive. He describes the tension between maintaining a partnership ethos and operating with top-down strategic direction as a public company.
CEO priorities: scale as a competitive moat for institutional financial firms
Solomon outlines how scale matters in mature, asset-linked businesses—especially during turbulence. He contrasts Goldman and Morgan Stanley’s “institutional” positioning with larger retail bank peers and argues that balance-sheet scale becomes increasingly important over time.
a16z’s origin story: raising capital when nobody else can
Ben Horowitz recounts founding a16z in 2009 and taking criticism for fundraising during a downturn. He argues that contrarian timing—raising when others can’t—is often optimal for long-horizon investing.
Building a “top-tier” venture product: designing around the founder
Horowitz explains that VC survival depends on being “top tier” to attract the best entrepreneurs. Because reputation advantages were hard to replicate in 2009, a16z differentiated by creating a better product for founders—helping them stay CEOs and scale their companies.
Scaling venture for ‘Software Is Eating the World’—from boutique team to platform
Horowitz describes a16z’s second phase: scaling the firm to match an expanded universe of software winners. He challenges the traditional ‘basketball team’ VC model and explains how a16z structured itself to invest across far more opportunities without bloating decision-making.
Industry leadership and national competitiveness: policy as a growth strategy
Horowitz connects a16z’s scale to a broader responsibility: growing the market and strengthening US technological leadership. He frames policy work as essential to US competitiveness—particularly versus China—and as a prerequisite for long-term innovation.
‘The sweetest macro spot in 40 years’: stimulus cocktail, AI productivity, and real risks
Solomon lays out why he views the current US macro environment as unusually favorable for asset-linked businesses. He cites overlapping fiscal stimulus, monetary easing, a capital investment supercycle, and deregulation, while warning that geopolitics and information volatility raise tail risks.
M&A and IPO outlook: ‘Whatever the question is, the answer is maybe’
Solomon argues that deal activity is fundamentally confidence-driven and predicts a strong year for M&A and IPOs as regulatory headwinds ease. Horowitz agrees on IPO momentum but flags uncertainty around FTC posture, especially in tech, potentially pushing activity toward alternative structures like IP transactions.
AI changes competitive dynamics: why ‘leads aren’t what they once were’
Horowitz explains that AI reduces the durability of product leads that once protected startups from incumbents. With proprietary data and sufficient compute, well-capitalized players can close gaps quickly—pushing fast-growing AI companies toward IPOs to fund the compute/data arms race.
Crypto policy agenda: GENIUS Act wins and the push for market-structure clarity
Horowitz outlines a16z’s crypto policy priorities, arguing crypto is a foundational societal and economic technology. He criticizes prior regulatory approaches (including de-banking and broad enforcement) and highlights legislative efforts focused on stablecoins and clearer token classification rules.
AI policy: ‘Don’t regulate math’ and the fight against a patchwork of state laws
Horowitz argues AI should be regulated at the application level rather than restricting model development itself. He warns that overregulation could cede advantage to China and highlights key near-term battles: state-by-state compliance fragmentation and copyright/training rules.
Goldman’s ‘One GS 3.0’: reimagining enterprise processes with AI
Solomon describes two AI thrusts at Goldman: boosting individual productivity and redesigning core operating processes end-to-end. He emphasizes that process reengineering can free up capacity to invest in growth while preserving annual return discipline, and notes regulatory constraints slow experimentation.
AI agents and investing: promise, limits, and the ‘unknown unknowns’ problem
Solomon and Horowitz explore how agentic AI might affect investing, noting that models excel on available facts but struggle with genuinely novel regime shifts. They question whether AI trained on widely available information can outperform when most humans underperform, while acknowledging rapid model adaptation once new information appears.
Lightning round: favorite DJs and closing reflections
The conversation ends with a personal detour into music, revealing Solomon’s current pick and Horowitz’s classic hip-hop choice. The hosts wrap by thanking both guests for a wide-ranging discussion across finance, venture, AI, crypto, and policy.
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