The $3.5T balance sheet trap and why software PE paused

THE CARRY

1. Cross-Podcast Themes

AI workflow automation is destroying legacy software moats and freezing buyout capital

SC Moatti mapped 550 companies at Mighty Capital and found that enterprise switching costs are deteriorating rapidly. When generative AI models write code and automate schema mapping, enterprise customers no longer face massive friction to rip and replace systems. “There's a cluster of companies that have raised a ton of money but aren't defensible because they rely on moats that no longer work in AI like switching costs or even cornered resources like a data moat.”▶ 0:26

This exact technical uncertainty has software buyout funds sitting on uncalled capital. Adi Filipovic of Resurgens Technology Partners notes that many dedicated software sponsors are secretly pausing new platform acquisitions entirely because they cannot confidently underwrite five-year terminal values. “The idea that if you went two years ago and said there are software private equity firms... that openly or secretly are not investing in software in the moment. That would be kind of a shocking concept.”▶ 26:59

To protect multiples against this fear, operating partners are running pre-exit tech audits over a year before launch. Stuart Walker outlined how acquirers now deploy mock vendor due diligence to probe whether nimble AI startups can replicate a target's core features. When buyers see incomplete software migrations or weak AI strategy, they demand heavy valuation haircuts. Listen to the full episode

The $3.5 trillion liquidity backlog demands a total rethink of PE holding periods

The buyout machine was built to flip companies in four years, but distributions have ground to a halt. GTCR partner Michael Hollander points out that rigid exit clocks force GPs to manage margins for arbitrary sale dates rather than compounding real enterprise value. “If you look at our industry as a whole, we unfortunately have done a pretty terrible job at returning capital to our limited partners... our industry has returned just a bit more than 10% of NAV per year to LPs from '20 to '25.”▶ 22:00

That 10% annual distribution pace leaves general partners holding a massive stranded balance sheet problem. Douglas Beyer at Roaring Brook Holdings notes this creates an acute cash flow squeeze for allocators who cannot fund new commitments. “There's roughly, as it relates to just private equity alone, there's roughly three to three.5 trillion dollars of unrealized fair market value on GP's balance sheets.”▶ 30:13

Outsourcing deal origination to junior staff destroys sourcing alpha

Private equity shops spent the last decade expanding their assets and pushing sourcing down to junior business development teams. Devin Mathews notes this structural error builds auction dynamics rather than proprietary trust. “And I'd say highly unlikely that many private equity firms have those deep relationships where they are getting the first call, the last call and the price at which they need to transact because generally and it's only accelerated as funds have gotten bigger.”▶ 14:44

When junior staff run cold outreach, firms fall prey to behavioral endowment traps. Adi Filipovic explains that associates champion mediocre assets solely because their cold email got a reply, establishing false valuation anchors before diligence even begins. “Endowment effect is like because I did it because it's mine. And you see it as like I sourced this.”▶ 38:41

2. Best Of the Week

• Capital Allocators: Nancy Zimmerman on why fixed income arbitrageurs are feasting on price-insensitive tech hyperscalers who prioritize compute capacity over borrowing costs. “What they want to borrow is as much money as they can for as long as they can, and they're borrowing it in whatever currency they can.”▶ 40:32
• How I Invest: Nnamdi Okike on why bloated seed rounds strip young companies of their operating discipline and force them to run too many product experiments at once. “When you're in the phase of doing experiments, scarcity is actually something you want to have because you want to have a way to decide which experiments to do.”▶ 59:25
• Karma School of Business: Adi Filipovic on separating value creation operators into five distinct talent buckets to stop treating them as second-class advisors during the hold period.
• M&A Science: Jerry Cedicci on the trap of haggling over working capital pegs and purchase margins while entirely missing fivefold asymmetric upside on the core asset.
• Private Equity Funcast: Brogan Magnarelli on why projecting unearned command in founder meetings kills trust, and why asking basic questions wins deals. "So, when I first joined private equity, oh my god, I asked so many dumb questions. Like questions that literally keep me up at night being like, 'Oh, I'm so embarrassed that I asked those.'"
• Private Equity Spotlight: Neil Kalvelage on leaving meat on the bone for the next buyer, rather than selling an asset at absolute peak performance and compressing your own exit multiple. “And so what we really think about is when are we far enough into that value creation plan that the results are proven, and yet there's still more upside left for the next buyer?”▶ 2:58

3. Most Quotable

"You can be the best surfer in the world but if you're surfing at a beach with tiny waves, you're not going to surf very well. You need the waves."

Nnamdi Okike on How I Invest · October 2026. A stark reminder that founder talent cannot compensate for weak external demand tailwinds.

"I'm not going to tell somebody trust me. Never use the word trust me."

Jerry Cedicci on M&A Science · October 2026. Why verbal requests for trust instantly trigger defensive suspicion from sellers in complex acquisitions.

"The good way is what happens when the CEO says I want 20% efficiency. In the age of AI that's essentially losing; it's just looking at cutting jobs generating efficiency."

SC Moatti on How I Invest · October 2026. Calling out the lazy math behind blanket AI efficiency mandates that fail to produce real enterprise value.

Bottom Line: Software sponsors are sitting on their hands while AI eats the classic SaaS moat, leaving the $3.5 trillion private equity exit backlog waiting for secondary market liquidity to catch up.