Interview, Fireside Chat
Benchmark's GP, Everett Randle on Why Mega Funds Will Not Produce Good Returns
- Benchmark's New Partner: Everett Randall joins Benchmark as a new partner, having previously worked at Founders Fund, Kleiner Perkins (KP), and Bond.
- New AI Taxonomy Required: Randall argues the venture industry needs a new taxonomy for AI companies that departs from legacy SaaS metrics.
- Margins vs. Gross Profit: He advocates shifting focus from gross margin percentages to absolute gross profit dollars per customer, noting AI companies may have lower margins (e.g., 50-60%) but significantly higher revenue per customer due to labor displacement.
- Capital Velocity as a North Star: Randall asserts that "capital velocity" has become the de facto North Star for mega-funds (e.g., Tiger, Lightspeed, General Catalyst), where junior partners are promoted based on deployment speed rather than pure conviction.
- Mega-Fund Limitations: He predicts that while mega-funds will generate massive absolute dollars from winners like OpenAI and Databricks, they cannot guarantee the high net multiple (5x+) returns that LPs seek in venture, as the sheer size of their funds dilutes percentage returns.
- Benchmark's Strategy: Benchmark remains positioned as a "craft" firm with smaller funds, prioritizing high money-on-money returns and deep founder partnership over high capital velocity or massive check sizes.
- Tiger Global Outlook: Contrary to bearish views, Randall is bullish on Tiger Global's future returns, citing their early stakes in OpenAI and Databricks combined with liquidation preferences that will likely yield significant returns.
- OpenAI Investment Miss: Randall cites missing the $32 billion OpenAI round as his biggest professional regret, admitting he was distracted by structural complexities (nonprofit status, dilution) rather than the product's growth potential.
- OpenAI vs. Anthropic: He prefers investing in OpenAI at a $500B valuation over Anthropic at $350B, citing ChatGPT's entrenched consumer dominance as a "locked-in" asset, though he acknowledges Anthropic's edge in B2B and coding models.
- Moat Definition: Randall disagrees with the notion that moats have shifted from technology to distribution; he maintains that building exceptional AI products requires scarce talent and technical nuance that is harder to replicate than SaaS distribution.
- Fund Size Strategy: Benchmark rejects the need to participate in $500M+ "Lab" rounds, arguing their fund size and team structure are optimized for generating 10x-30x returns in smaller, high-conviction deals where they can be the primary partner.
- Ownership Discipline: The firm prioritizes being the founder's "best partner" over securing 20% ownership; they accept smaller stakes if the partnership value and eventual return multiples are higher.
- Founders Fund Culture: Randall describes Founders Fund's culture as one of "yelling at each other" during investment committees, driven by deep relationships and a "no-holds-barred" truth-seeking environment.
- Peter Thiel's Conviction Test: A key takeaway from Thiel is the incentive structure where employees must personally invest alongside the firm to test their true conviction, preventing over-allocation in weak deals.
- Mary Meeker's Qualitative Quantitative: Randall learned from Mary Meeker to use quantitative models to drive a narrative vision (e.g., visualizing household market penetration) rather than relying on rigid DCF assumptions.
- Mamoon Hamid's "Taste": From Mamoon Hamid, he learned the necessity of seeing excellence up close (e.g., working with A++ teams) to calibrate one's "taste" for identifying future winners.
- AI Inference Cloud Model Shift: Randall reversed his view on AI inference cloud providers (like CoreWeave), moving from skepticism (viewing them as low-margin commodity resellers) to recognition that astronomical demand can make them highly valuable businesses.
- Market Expansion via AI: AI is creating "golden categories" where markets that previously seemed small (e.g., HVAC software) are expanding rapidly as AI replaces larger labor budgets, driving higher absolute spend.
- Sustainable Growth Risks: Randall warns that high growth rates (e.g., Jasper AI) are unsustainable if not backed by differentiated workflows that stand up against direct competition from the foundational models (the "labs").
- Benchmark's Investment Criteria: The firm's North Stars are generating the highest ROI for LPs and being the most meaningful partner to founders, rather than adhering to fixed stage or stage-specific strategies.
- Growth Stage Transition: Randall notes that his transition to growth-stage investing (e.g., SpaceX, Airwallex) has refined his view on price, teaching him to ignore nominal valuation sizes in favor of absolute upside potential.
- Founder Firing Debate: He defends the practice of firing founders for fiduciary reasons, contrasting Benchmark's approach with Founders Fund's "never fire" stance, which he views as potentially abdicating moral and governance responsibilities.
- First Deal Advice: Randall shares advice to accept a first failure at Benchmark to relieve pressure, noting that experiencing a loss early builds the resilience needed for future decision-making.
- 2021 Bubble Reflection: He characterizes the 2021 market frenzy (e.g., Miami tech week excess) as a "Gotham burning" moment where capital was deployed irrationally amidst a looming downturn.
- 10-Year Optimism: Randall is most optimistic about AI's role in driving GDP growth, which he believes is essential for maintaining a harmonious society by expanding the economic pie rather than engaging in zero-sum competition.
- Benchmark's Biggest Threat: He identifies "stasis" as the primary long-term threat to Benchmark, emphasizing the need to evolve with the asset class while maintaining core principles.
- Best Picker at Benchmark: Randall names Peter Fenton as the firm's best "picker," citing his 20+ year track record, and Eric Lefkofsky as the most underrated, with both driving generational returns.
- Thesis on Figma: He references the Andrew Reed/Figma investment (paying 100x ARR) as an example of a deal where traditional comps failed to capture the market's expansion potential.
- Current Market State: Randall compares the current AI moment to the Dot-Com era, acknowledging inevitable crashes but betting that survivors will generate value in the trillions, just as Amazon and Google did.