The Learning Corner by Precursor

This week we dig into a piece from Halle Tecco exploring how healthcare VCs are splitting into two camps on ownership discipline as AI drives valuations to decade highs. We also break down Sam Lessin's argument that the SpaceX IPO signals the end of the DCF as the only globally scalable story of value, and what it means that minority belief systems can now pool conviction at trillion-dollar scale. We close with Sarah Guo's "The Untrainable," a sharp framework for understanding where real moats exist in the AI era and why the defensible work is exactly the stuff that can't be benchmarked. Tune in for a packed episode touching on venture math, narrative-driven markets, and what it actually takes to build something durable when the models keep getting smarter.

This week on The Learning Corner, economist Alex Imas makes a counterintuitive case that AI will not eliminate human labor but instead relocate scarcity toward a "relational sector" of nurses, teachers, craftspeople, and care workers where human presence is the product itself. Lisa Kostova shares one of the most honest accounts of vibe coding gone wrong, arriving at a major conference with 40 ready buyers and a product too broken to sell. We close with Boris Cherny, creator of Claude Code at Anthropic, who argues the title of software engineer is dissolving but predicts 100 times more people will be writing code in the near future. Three reads, one big question: what does human work actually look like in an AI economy?

This week we dig into the viral Citrini Research "2028 Global Intelligence Crisis" memo, a scenario written from the future that rattled public markets and sparked a real conversation about what happens when AI works exactly as promised. We also highlight a great StrictlyVC Download episode with Stacy Brown-Philpot, founder of Cherryrock Capital, on what it takes to win at Series A in today's market. We close with a LinkedIn post from Alex Pall of Mantis Venture Capital on 2021-vintage founders hitting a first-principles reset in the age of AI.

This week on The Learning Corner, Mia and Charles unpack why AI is making engineers more productive but more exhausted, exploring the hidden cost of constant tool evaluation and "thinking atrophy." They then dig into a provocative argument that venture capital's traditional model is fundamentally breaking down and why the future looks more like permanent capital than ten year fund structures. Finally, they walk through Julia Maltby's tactical guide on building a GP reference list that actually closes LPs, including why your best reference might be a founder from a deal that didn't work out.

This week we discuss Jason Lemkin's analysis of Brex's $5.15B exit and how hubristic fundraising creates impossible success benchmarks, Auren Hoffman's controversial claim that VCs overpromise their ability to help with hiring in today's AI talent war, and Saanya Ojha's defense of SaaS business models against claims of obsolescence. We explore why massive valuations attract mercenaries over missionaries, whether venture capital firms can truly move the needle on talent acquisition, and how vendor fatigue and data moats protect incumbents from AI disruption. Join us as we challenge conventional wisdom on fundraising strategy, investor value-add, and the future of enterprise software.

This week we explore David Haber's framework on why most investors run funds but few build lasting firms, and what it takes to create a defensible moat in venture capital. Sarah Guo reminds us that relevance decays without constant market engagement, especially in the compressed timelines of AI companies where first principles thinking matters more than inherited pattern matching. We close with Michael Dempsey's piece on the privilege of belief in early-stage investing, examining what steadfast conviction looks like when operating with incomplete or no data. From institutional durability to personal conviction, we unpack what separates temporary success from lasting impact in venture.

This end‑of‑year episode of The Learning Corner by Precursor brings together our first podcast guests, Hunter Walk (Homebrew, Screendoor) and Peter Walker (Carta) for a wide‑ranging conversation on how venture capital has evolved in 2025. We unpack ballooning early‑stage valuations, the distortion created by media attention, and how few companies actually sit at the top of the market. We also discuss today’s exit landscape, growing pressure for liquidity, the rise of secondaries, and what recent IPOs and M&A activity mean for funds of different sizes. We close by examining what early‑stage venture really looks like today, from changing GP‑LP dynamics to faster paths to scale and the push to build more with smaller teams.