How I Invest with David Weisburd

Episode E338: How I Invest $9 Billion into VC & Private Equity with Chris (Margaret A. Cargill Foundation)

Date: April 1, 2026

Episode Overview

In this episode, David Weisburd sits down with Chris, who leads Equity Strategies at the Margaret A. Cargill Foundation, to discuss how he allocates and manages a $9 billion portfolio spanning public equities, private equity, and venture capital. The conversation dives deep into risk management amidst AI disruption, practical approaches to manager selection, the nuances of building diversified portfolios, and evolving best practices in institutional investing.

Key Discussion Points & Insights

1. What Keeps an Allocator Up at Night: Risks in Today’s Equity Markets

Timestamps: 00:00 – 02:27

• AI Disruption: AI risk is a top concern, particularly for software-centric private equity. Chris warns that SaaS CEOs should be wary of disruption (“CEOs of SaaS businesses should be very scared of being disrupted.” – Chris, 00:17).
• Private Credit: A widely discussed area, but not directly under his purview.
• Resiliency in Tech: Not all SaaS or big tech incumbents will vanish overnight; many offer critical, sticky services.
• Opportunities in Fear: With widespread awareness of AI risk, opportunities may exist as the market adjusts.
• Historical Context: The average top 10 US tech company is now over 35 years old and has adapted through multiple technological shifts.

2. Macro Issues: Inflation, National Debt, and Policy

Timestamps: 01:54 – 03:28

• Persistent Inflation: Chris believes structurally higher inflation is likely for the next 10–15 years (“I don’t see us going back below 2% inflation in the next 10 to 15 years.” – Chris, 01:54).
• Government Debt: The consensus among experts is that inflation, rather than austerity, will be the path used to address the national debt.
• Policy Outlook: The new Fed chair is considered a hawk, making persistent inflation politically harder to maintain.

3. The Pervasiveness of AI

Timestamps: 05:14 – 07:06

• AI Impacts All Sectors: Unlike past revolutions, AI transcends industries (“It affects productivity everywhere. …It can disrupt just about everything.” – Chris, 05:37).
• Physical Barriers: Some industries (e.g., plumbing, electrical work) remain insulated from AI for now, echoing Moravec’s paradox.

4. Organizing an Investment Office: The Risk Asset Model

Timestamps: 07:07 – 09:27

• Whiteboard Approach: As a young foundation, MACP grouped investments by risk (equity, credit, real assets), not by strategy.
• Overlap Across Asset Classes: Recognizing embedded equity beta in hedge funds and credit simplifies allocation.
• Operational Hurdles Elsewhere: Few institutions follow this model due to legacy structures, turf wars, and inertia.

5. Building an Investment Strategy from Scratch

Timestamps: 09:21 – 10:12

• Endowment-like, But Safer: MACP adopts a conservative, endowment-inspired model with higher allocations to credit and real assets, due to no fundraising or fresh inflows and a commitment to reliable grantmaking.

6. Integrating Quantitative and Qualitative Assessments

Timestamps: 10:12 – 12:41

• Limits of Quantitative Models: Quant can’t fully replace judgment in picking managers or detecting dishonesty. “We want to select general partners who lie a little…rather than ones that lie a lot.” (Chris, 10:49)
• Model Limitations: Models are useful but always flawed—capital market assumptions age poorly.
• Qualitative Edge: In venture, data is sparse; soft skills, like reference checks and behavioral cues, are key.

7. Manager Due Diligence: Detective Work

Timestamps: 12:41 – 18:30

• Quantitative Analysis: Look for true excess returns, idiosyncratic stock picks, and performance on both long and short sides.
• Qualitative Analysis: Consistency in strategy and communication across the team is vital; off-list referencing and in-person office visits uncover truth (“I like to meet the general partner prior to a fundraise…You get much better dialogue.” – Chris, 15:50).
• Office Visits: The mood, culture, real interaction, and even the physical presence of an office matter. “I start diligence at the front door. What is the mood of the office?” (Chris, 17:12)
• Culture Matters: Turnover is especially bad in private funds; a high-performing, radical-candor culture is ideal, blending accountability with honesty.

8. Venture Program — Principles & Regrets

Timestamps: 20:10 – 21:48

• Initial Approach: Focused first on privates, given public equity was indexed.
• Wish for Patience: Would have benefitted from slower deployment for better decision-making and flexibility, particularly in co-investments and secondaries.
• Vintage Diversification: Extensive thought on distributing investments across vintages for risk mitigation, but tricky in practice due to lumpy capital calls.

9. Building Exposure: Secondaries, Patience, and Benchmarking

Timestamps: 21:48 – 29:18

• Best Practices: David shares tactics like waiting a year before making investments (Founders Fund), investing only after seeing hundreds of managers, using secondaries to diversify vintages, and benchmarking against an index before committing.
• Secondaries in Practice: Chris explains benefits and drawbacks; not a panacea, as buyers enter at marked-up prices and may not capture early multiple expansion.

10. Vintage Year Risk and Portfolio Construction

Timestamps: 28:51 – 31:50

• Ideal Diversification: Six to ten years may provide real diversification due to unpredictability of drawdowns and capital deployment.
• Real-World Complexity: Measuring true “vintage year” is complex due to lags in capital calls; a rules-based but flexible approach is necessary.

11. Public/Private Market Convergence: Staying Private Longer

Timestamps: 32:45 – 35:04

• Bifurcation in Venture: The market is splitting between mega-funds and small, focused funds.
• DPI Crisis: Distributions are recovering, but companies are staying private longer than ever. “We’ve extended venture funds to 15 years…some funds might extend to 20.” (Chris, 35:10)
• Small cap parallels: Venture-funded firms with $100M–$500M in revenue are the new “small caps,” implying a need to rethink traditional public/private splits in portfolios.

12. Evolving Views on Value Stocks and Crowding

Timestamps: 37:20 – 39:20

• Value Investing Struggles: The classic value style is less advantageous due to crowded trades and a lack of catalysts.
• Technological Impact: Cheap computing has democratized access to value screens, reducing edge.

13. Quantitative vs. Fundamental Management

Timestamps: 39:20 – 42:55

• Quant Winning Out: Quant managers have outperformed fundamentals in recent cycles, especially through momentum strategies.
• Persistence and Fees: Observations that fees and fees/return structure make it tough to justify fundamental managers unless outperformance is pronounced and persistent.
• Manager Tenure: Fidelity to a manager can’t survive lengthy underperformance. “You can underperform a little bit for a while, but you can’t blow up.” (Chris, 42:41)

14. Timeless Lessons: The Criticality of Sizing

Timestamps: 42:55 – 44:43

• Position Sizing: The main lesson is that mistakes are inevitable, but appropriately sizing allocations ensures they won’t be career- or portfolio-ending. “The sizing of a trade or an investment matters much more than the actual outcome of the investment.” (Chris, 43:08)
• Application Across Assets: For spiky assets (crypto, gold, alternatives), small allocations can capture asymmetry while containing risk.

Notable Quotes & Memorable Moments

• On AI Disruption:
  “CEOs of SaaS businesses should be very scared of being disrupted.”
  — Chris, 00:17

• On Persistent Inflation:
  “I don’t see us going back below 2% inflation in the next 10 to 15 years.”
  — Chris, 01:54

• On Qualitative Assessment:
  “We want to select general partners who lie a little…rather than ones that lie a lot.”
  — Chris, 10:49

• On Manager References:
  “References, which are simultaneously probably the most boring part of manager selection and also probably where the most alpha is gained.”
  — David Weisburd, 14:24

• On Office Diligence:
  “I start diligence at the front door. What is the mood of the office?”
  — Chris, 17:12

• On Portfolio Sizing:
  “The sizing of a trade or an investment matters much more than the actual outcome of the investment.”
  — Chris, 43:08

• On Underperformance:
  “You can underperform a little bit for a while, but you can’t blow up.”
  — Chris, 42:41

Structured Timeline of Crucial Segments

| Timestamp | Topic/Quote | |----------------|-----------------------------------------------------------------------------------------| | 00:00–02:27 | Market risks, especially AI and inflation | | 05:14–07:06 | AI as a pervasive revolution across industries | | 07:07–10:12 | Building an organization by risk asset – why and how | | 10:12–12:41 | Combining quantitative and qualitative evaluation of managers | | 12:41–18:30 | In-depth on due diligence: office visits, reference checks, culture | | 20:10–21:48 | Building the venture program: patience and principles | | 21:48–31:50 | Vintage diversification, secondaries, logistics of capital calls | | 32:45–35:04 | Bifurcation in venture, DPI crisis, longer timescales on cash flows | | 39:20–42:55 | Rethinking fundamental vs. quant management, persistence, and fees | | 42:55–44:43 | Timeless investing lesson: position sizing trumps precision in security selection |

Takeaways for Institutional Allocators

• Staying aware—but not paralyzed—by macro risks is crucial; productive paranoia is a virtue.
• Quantitative rigor and qualitative “detection” are both essential in manager selection.
• Building out a balanced, diversified portfolio in alternatives requires patience and vintage awareness.
• Public and private equity are converging; boundaries between them are less clear than before.
• Culture, references, and signals from non-partner staff can foreshadow manager success or failure.
• Sizing and risk management are the true career-savers in institutional investing.
• Adaptability and skepticism about traditional models—and one’s own assumptions—are required in a world defined by accelerating disruption.