Interview, Fireside Chat
Bucky Moore @ Lightspeed Venture Partners: Why You Cannot Do VC If You Do Not Do Pre-Seed
- Bucky Brown announced his official transition from Kleiner Perkins (KP) to Lightspeed Venture Partners as a partner after 7.5 years at KP and 11 years in the venture sector.
- Brown aims to drive Lightspeed's early-stage enterprise investing, which he views as the firm's historical core, while operating within a "truly global platform."
- He identifies a market shift from companies achieving $30–$50 billion valuations (e.g., Databricks, Snowflake) to multi-trillion dollar outcomes (e.g., SpaceX, OpenAI, Anthropic).
- Brown argues that only mega-platforms with the capacity to invest billions in single companies can capture alpha in this new era of capital intensity.
- He asserts that despite the scale of outcomes, successful partnerships require maintaining an early-stage DNA, as founders still value partners who understand raw formation stage entrepreneurship.
- Current AI model providers face significant margin compression and high capital expenditure (CapEx) due to compute costs, though Brown expects revenue growth rates to exceed 100% year-over-year for top-tier app companies.
- Brown predicts that while model providers will dominate core categories (e.g., search, coding), the "long tail" of specific enterprise applications will remain dominated by specialized startups due to the depth of customer insight required.
- He cautions that investing in model providers involves higher dilution compared to traditional late-stage enterprise software but offers potentially outsized returns.
- Brown suggests that "competitive investing" (backing multiple rivals) is becoming a rational strategy for mega-platforms like Andreessen Horowitz to mitigate uncertainty, provided there is founder buy-in.
- He believes the number of mega-platforms will likely remain concentrated (approx. 5–6 firms) due to the difficulty LPs face in committing capital to an expanding number of large entities.
- Brown contends that market sizing is a "fool's errand" for fundamentally new markets, as top founders often redefine their markets rather than compete within existing ones.
- He warns that "spreadsheet investors" face a narrowing window for entry into top-tier AI assets, as these companies are raising massive capital at pre-seed/seed stages before financial models are fully established.
- Brown acknowledges the trade-off of large early-round checks ("10 on 50"), noting that while they reduce dilution, they can limit operational flexibility and create pressure if milestones aren't met quickly.
- He advises founders in uncertain, new markets to raise conservatively to preserve optionality, whereas those in deterministic markets (e.g., cybersecurity) can safely raise larger rounds.
- Brown notes that "deeply technical" companies (e.g., Clay, Figma) often experience longer ramp-up times (5–6 years) compared to traditional software, requiring investors to adjust their timelines for success.
- He identifies a signal for success in AI apps: companies that solve existential pain points for CIOs/CTOs who face executive pressure to adopt AI immediately.
- Brown asserts that "picking" (selecting the right founders early) is more critical than "winning" (execution) in competitive deals because the winner is often the investor who spent the most time developing deep insights.
- He states that domain specialization is crucial for the "picking" phase, as it helps investors identify the rare combination of deep domain expertise and AI engineering talent.
- Brown argues that later-stage investors cannot win in AI ventures without engaging at the pre-seed/seed stage to secure access to top-tier founders.
- He disputes the narrative that a multi-stage firm not leading a follow-on round signals a company failure, stating that missed milestones are the primary driver for such decisions.
- Brown predicts the "uncanny valley" of mid-sized venture funds ($500M–$2B) will face increasing difficulty as the market polarizes between small specialists and mega-platforms.
- He has shifted his view on OpenAI and Anthropic, now believing they are on track to become $2 trillion companies due to the formation of product layers rather than reliance on API revenue alone.
- Brown challenges the prevailing belief in an ever-increasing AGI slope, suggesting a plateau is possible and would still yield massive societal and economic value.
- He observes that enterprise AI adoption is occurring at unprecedented speed, driven by a consensus that failure to adopt is existential, contrasting with the slower adoption of cloud computing.
- Brown ranked "Team" as the single most important investment criterion, prioritizing it over market traction and market size.
- He identified Mike Dauber (Amplify Partners) as an unsung hero in the venture community for his mentorship and belief in young investors.
- Brown describes his ideal founder-investor relationship as one where both parties "love having each other in their lives," characterized by deep curiosity, conviction, and the wisdom to know when to step back.