Misaligned Incentives Between GPs and Founders with Altimeter's Jamin Ball | E2045

Episode Summary

Executive Summary: The episode argues that venture capital incentives have shifted from a founder-aligned model—where VCs only got rich through big exits—to a fee-driven, AUM-maximizing model as funds have grown. This weakens alignment, can overcapitalize startups, distort valuations, and reduce attention to founders, while demand for venture capital remains high because private-market winners are bigger than ever.

Main Topics: How venture money is made: 2% fee and 20% carry (Priority: 5/5): Jamin Ball explains the traditional VC compensation model: a management fee for operating expenses and carry for profits. Historically, carry drove wealth creation, so VCs needed founders to achieve big exits. Incentive shift as funds grew larger (Priority: 5/5): As funds expanded into the hundreds of millions and billions, the guaranteed 2% fee became meaningful enough that firms could get rich without relying entirely on carry, changing behavior toward AUM and deployment maximization. Why capital flooded into venture (Priority: 4/5): The discussion attributes rising venture demand to superior historical returns, the globalization and sophistication of LPs, lower rates, and the rise of large LPs needing to write bigger checks into larger funds. Consequences for founders: overcapitalization and weak support (Priority: 5/5): Large rounds at high valuations can shut off lower-exit paths, increase pressure to grow into inflated expectations, and reduce the amount of time VCs can spend supporting each portfolio company. Why smaller funds struggle despite power-law logic (Priority: 4/5): Although smaller funds can produce better venture returns through concentration and earlier-stage power-law outcomes, they face LP access issues, track-record risk, and the reality that large LPs prefer larger checks into larger funds. Exit market stagnation and valuation gaps (Priority: 4/5): The show links the lack of IPO and M&A activity to venture overfunding and private-market valuations that exceed public-market clearing prices, making founders reluctant to accept exits or down-round public listings. SaaS multiples and software demand after the reset (Priority: 3/5): The conversation ends by noting strong recent SaaS earnings beats, but cautioning that procurement discipline remains elevated and only differentiated best-of-breed companies are likely to benefit materially from a rebound.

Key Arguments: Traditional VC incentives were aligned because the main way for investors to get rich was carry, which required founders to achieve large exits. As funds scale up, the guaranteed management fee becomes large enough that firms can rationally optimize for AUM and deployment rather than outcomes. The venture market has shifted from a niche, high-margin cottage industry to a mainstream, lower-margin asset class, attracting much more LP capital. Big LPs increasingly want to write large checks, which structurally pushes them toward large funds and away from small funds. Large funds often become more index-like, which lowers the chance of power-law returns unless they remain highly concentrated. Overcapitalizing startups can close off intermediate exit paths, making many companies effectively dependent on a massive outcome. Founders often receive too much capital at too high a valuation, which can distort hiring, culture, and employee retention. The lack of exits is partly a venture problem: public-market valuations are often far below private-market marks, so IPOs and M&A are unattractive. There is no single actor to blame; LPs, GPs, founders, and macro conditions all contributed to the current structure. In SaaS, the reset has improved some fundamentals, but buying behavior remains disciplined, meaning only strong products with clear ROI will win.

Data Points: Management fee: ~2% annually - Standard VC fee used to fund salaries, rent, legal, and other operating costs Carry: 20% of profits - Traditional share of investment upside paid to the VC firm Example fund size: $100 million - Illustrative fund used to show how fees and carry work Example fee revenue: $2 million per year - Annual management fee on a $100 million fund Example fund return: 3x - Used to illustrate carry economics Example carry dollars: $40 million - 20% of $200 million profits from a $100 million fund returning 3x Large fund example: $1 billion fund - Used to show how the guaranteed fee becomes materially attractive Large fund annual fee: $20 million per year - Annual management fee on a $1 billion fund Large fund carry example: $400 million - Carry generated if a $1 billion fund returns 3x GP commit: 1% to 2% of fund size - Typical general partner capital contribution to the fund Venture LP growth era: 2015-2017 acceleration - Period when new LP classes and global capital flowed into venture Software valuation benchmark: Median around 6x revenue - Current median software multiple cited as historically lower than pre-COVID levels Historical software valuation benchmark: Around 8x revenue - Pre-COVID median software multiple 10-year Treasury comparison, historical: ~2.2% to 2.3% - Rate environment during the 8x historical software multiple period 10-year Treasury comparison, current: ~4.2% - Current rate environment cited alongside 6x software multiples Private unicorn count: ~1,300 - Referenced as the scale of the private-company backlog Likely unicorn exit rate: 5% or less - Jamin’s estimate for unicorns exiting above their Zerp-round valuation Software earnings beat rate: ~100% of companies beat consensus in the sample - Recent quarter sample mentioned in the discussion Prior quarter beat rate: About 90% - Beat rate during the tougher 2022-2023 SaaS period Prior guidance beat rate: ~70% to 80% - Share of companies guiding above consensus before the downturn Later guidance beat rate: ~50% - Share of companies guiding above consensus in the tougher period Budget flush reference: Q4 2023 - Used as an example of temporary year-end spending effects OpenAI growth: $3.7B run rate - Example of exceptionally fast private-market growth in AI Cursor revenue growth: $4M annual revenue to $4M monthly revenue - Example of extreme AI startup growth trajectory

Pivotal Quotes: "For venture capitalists to get rich, you need big company exits. For founders to get rich, you have equity in one company." — Alex/Jamin discussion: Defines why the old venture model aligned founder and investor incentives "The outcome is irrelevant, and now it's how can I match? Maximize my AUM? How can I maximize my deployed dollars?" — Jamin Ball: Explains the new incentive structure in larger venture funds "The market clearing price just varies." — Jamin Ball: Describes why M&A markets are not truly closed, only repriced

Implications: Founders should evaluate firms and partners, not just brand names: large checks can bring hidden tradeoffs in valuation, follow-on support, and exit flexibility. For the industry, high LP demand and big private winners keep large funds alive, while pressure on exits and SaaS multiples remains.