Is AI VC Concentration a Power Law or a Yellow Light: Two LP Heads Explain Their Decision Frameworks
Beezer Clarkson of LGT Capital Partners and Amit Bhatti of TrueBridge told TechCrunch why limited partners view concentrated holdings in OpenAI and Anthropic as a normal convergence in venture capital rather than a flaw, while noting that fund pacing compressing from two-and-a-half years to one year and seed rounds nearly doubling are yellow-light signals. They distinguish the current cycle from the previous acceleration by pointing out that this round has actual revenue support (zero to $100 million) rather than zero-revenue crypto concepts. The secondary market has shifted from a taboo to a third pillar of liquidity.
Limited partners in the venture capital industry — those who provide capital to VC funds — find themselves in a contradictory position: they feel both excited and uneasy. TechCrunch editor-in-chief Connie Loizos recently spoke with two LP heads: Beezer Clarkson from Zurich-based LGT Capital Partners, a diversified asset manager, and Amit Bhatti from Chapel Hill, North Carolina-based TrueBridge, a firm focused solely on venture capital. Their decision frameworks reflect an attribution logic among capital providers during the AI venture capital cycle.
The most striking argument concerns concentration. Traditionally, LPs manage risk by diversifying across many VC firms. But currently, the underlying portfolios of almost all LPs have converged onto just two companies: OpenAI and Anthropic. Bhatti’s response was surprisingly positive: he believes venture capital has always been a power-law business, and concentration is a good thing, not a bad one. If a fund reaches maturity with many small positions remaining, something has gone wrong. Funds older than ten years are converging toward a few names — lots of Databricks, lots of SpaceX, lots of Stripe — and in this generation of funds, he hopes to see lots of Anthropic and lots of OpenAI. He says this is a feature, not a bug; the difference lies in how quickly the convergence is happening. Clarkson adds that early-stage opportunities still show considerable diversity because check sizes are smaller, and concentration mainly appears in later stages.