491. How AI Reshapes LP Allocation Strategy, The Convergence of Venture and Buyout, and Permanent Shifts to Liquidity (Lara Banks)

What It Covers

Lara Banks, Managing Director at McKenna Capital Management, discusses LP allocation strategy shifts driven by AI, the convergence of venture and buyout models, permanent changes to liquidity through secondaries, and emerging manager evaluation frameworks.

Key Questions Answered

• •Emerging Manager Criteria: McKenna invests minimum $15-25 million in funds sized $75 million and up, prioritizing team quality and founder networks over track record alone. Experience building founder relationships and angel investing equals formal track record for evaluation purposes.
• •Strategy Drift Prevention: McKenna documents specific expectations for team, strategy, and portfolio in investment memos to hold managers accountable across fund cycles. This quantitative anchoring helps distinguish justified strategic pivots from FOMO-driven drift into trending sectors like AI applications or infrastructure.
• •Secondary Market Shift: Secondaries represent a permanent third exit door alongside IPOs and M&A. Seed managers now crystallize returns by selling positions at $5-10 billion rounds, achieving one times fund return while retaining two times exposure, boosting IRR and generating faster DPI.
• •AI Allocation Framework: McKenna sees applications layer as primary growth area over infrastructure and models, despite rapid revenue scaling to billions annually. The firm questions where profit pools originate across the stack and considers essential services businesses potentially more valuable as AI-resistant investments.