Mega-funds kill the 10-bagger

THE CARRY

1. Cross-Podcast Themes

Large-Cap Buyout Alpha is Statistically Dead

A $10 billion fund cannot move the needle with a $300 million equity check. PitchBook's Andrew Akers and Devin Mathews analyzed 10,000 buyout exits on Private Equity Funcast, discovering a brutal baseline: zero transactions returning 10x cash-on-cash came from funds larger than $1 billion. Once a vehicle scales past that threshold, GPs must buy mature, double-digit EBITDA assets where the math prohibits massive multiple expansion. “In almost 10,000 individual transactions of deals that were 10 times cash on return, zero of them came from large funds.”▶ 37:50

Institutional allocators spend thousands of hours trying to pick these non-existent mega-cap winners. John Renkema, former private equity chief at APG, argues on Fund Shack that this exercise is functionally empty. He points out that fund selection alpha fails in vehicles over $500 million because 20 to 30 sophisticated LPs all believe they picked the winning manager, canceling out any real selection edge. “Let me be clear there's no literature on the fact that you can actually select one fund over another because you say, well, that's going to perform better in the next 10 to 20 years.”▶ 5:10

Deal Teams Are Burning High-Dollar Hours on Low-Value Search

A $1 billion buyout fund runs on roughly $20 million of annual fee revenue to cover every dollar of overhead. On Karma School of Business, Sean Mooney explains how this lean structure breaks when deal partners billing near $3,000 an hour end up doing manual vendor sourcing. The shift from pure financial engineering to hands-on operational scaling means generalists are constantly forced to hunt for hyper-specialized talent. Deal partners routinely burn working hours on search engines and personal phone trees to locate niche supply chain or software specialists. Watch full episode

Wall Street deal teams burn thousands of hours pulling filings and compiling briefing books late into the night. Chris Ackerson revealed on How I Invest that a major bank tested AlphaSense across its analyst pool and documented a 15% analyst lift in coverage efficiency. By automating document extraction and earnings searches, firms eliminate late-night manual data gathering. Automated search frees up junior capacity, shifting deal team resources away from basic retrieval and toward active client execution. Watch full episode

Institutional Allocators Are Trapping Themselves in Mega-Funds

Twelve established firms captured roughly 75% of all venture capital fundraising this year. Warren Gibbon noted on How I Invest that this extreme bifurcation lets top-tier brands dictate terms, pushing fee structures to 3-and-30. Founders demand the premier logo on their cap tables, ensuring gross returns persist, but the resulting fee drag guarantees that LP net returns compress directly back to the median. “There's a massive bifurcation in venture where I think so much is at the top end today.”▶ 17:04

LPs tolerate this fee extraction and margin degradation entirely to protect their jobs. On Private Equity Funcast, PitchBook's Andrew Akers argues that allocators routinely prioritize career risk mitigation over outperformance. Committing capital to massive brand names guarantees zero career fallout if the vintage struggles, whereas backing a high-returning emerging manager carries career-ending downside if the bet fails. Allocators prioritize avoiding visible drawdowns over maximizing absolute alpha, funneling billions into marquee brands to shield themselves from blame. Watch full episode

2. Best Of the Week

Fund Shack: John Renkema rejects the idea that LPs and GPs are equal partners, arguing that institutional allocators are simply paying clients purchasing an asset management service. “Partners is such a strange word because we simply do not do the same thing on the other end.”▶ 32:58 Read more

How I Invest: Chris Ackerson notes that general foundation models are failing in institutional finance, where context retrieval accounts for 80% of compute costs and generic models default to ungrounded search. “Now, the majority of the GPU spend for these firms is not pre-training, it's post-training.”▶ 22:58 Read more

Karma School of Business: Sean Mooney bootstrapped BluWave by applying the standard private equity operating playbook to his own startup, refusing to hire full-time executives until renting external expertise proved the function repeatable. “One of our first early ahas was, why don't we just use our self on our self and embrace the private equity way?”▶ 27:09 Read more

M&A Science: Jerry Cedicci secured a $3 million construction loan by returning directly to the desk of the credit officer who denied his initial application and extracting the exact underwriting metrics needed to win approval elsewhere. "They told me no. And I went to the bank and I said give me the reason why you are turning me down." Read more

Private Equity Funcast: PitchBook quantitative modeling shows that private equity outperformance is largely driven by debt loads and sector selection rather than genuine operational improvements. “His conclusion was most of what we call operational alpha really is just sector picking multiple expansion and debt.”▶ 0:33 Read more

3. Most Quotable

"The vast majority of knowledge in the world isn't written down. It's in your head."

Chris Ackerson on How I Invest · Sept 27, 2026. A stark reminder that despite endless public market data extraction, real alpha still lives in proprietary channel checks and unwritten supply chain dynamics.

"The best investment opportunities, the best investment ideas are actually pretty explainable and pretty simple."

Warren Gibbon on How I Invest · Sept 27, 2026. A sharp counter to the over-engineered diligence memos currently flooding modern investment committees.

"I want to know why you turned me down because I'm going to go to another banker and everything that you didn't like, I'm going to make it look better."

Jerry Cedicci on M&A Science · Sept 27, 2026. The perfect blueprint for flipping a flat credit denial into a free piece of structural underwriting advice.

Bottom Line: Private markets are consolidating around massive brands that extract higher fees for median returns, while alpha generation shifts quietly toward domain-specific technology and middle-market operational efficiency.