From Drexel's Ashes to a Cold Call from France
Rowan joined Drexel in 1984 directly out of Wharton, turning down Goldman Sachs to work under Michael Milken in a world without high-yield indices, credit ETFs, or levered loan markets. Financial instruments were invented daily to solve problems with no off-the-shelf solution — Payment-in-Kind notes, silver-indexed bonds, corporate bridge financing. When Drexel collapsed in 1990 amid a global recession, a domestic banking crisis, and the S&L catastrophe, Rowan's team received a cold call from Crédit Lyonnais. Starting with $800 million, they expanded to managing $6 billion of the French bank's capital within a year, generating $3 billion in annual profits. Rowan's diagnosis of Drexel's failure has stayed with him: financial firms die from funding risk — lending long while borrowing short, as Bear Stearns and Lehman later proved — or from slow asset rot. The two failure modes demand entirely different responses.
The $1 Trillion Structure
Apollo today manages over $1 trillion in assets across two divisions: Retirement Services and Asset Management. The composition is deliberately skewed — 80% sits in credit, the vast majority investment-grade, while the remaining 20% is split between hybrid equity structures and traditional private equity funds. The permanent capital engine is Athene, Apollo's insurance and retirement services platform, which generates a continuous liability base that the asset management arm deploys against. The model depends on spread: optimising the gap between the cost of retirement liabilities and the excess return generated per unit of risk. Rowan co-invests Apollo's own balance sheet alongside clients not as a courtesy, but as the structural guarantee that aligns incentives and enforces underwriting discipline.
Private Credit Is Not What Most People Think
Rowan draws a hard line between private credit as Apollo practises it and the narrower "direct lending" category most observers picture. Investment-grade private credit clients include Intel, Air France, AT&T, EDF, Meta, and BP — large issuers with complex, long-term capital needs that neither commercial banks nor the public bond market can serve. Commercial banks are built for short-term lending funded by short-term deposits. Public bond markets require plain-vanilla standardisation. Private credit handles everything in between: data centres that intertwine energy infrastructure, chip procurement, and commercial offtake agreements; nuclear projects; multi-decade industrial transitions. Apollo anchors the risk on its own insurance balance sheet before distributing to pension funds, endowments, and increasingly retail platforms.
The SaaS Reckoning
Rowan's sharpest warning is directed at the private equity industry itself. Approximately 30% of all PE capital deployed over the past decade went into enterprise software — acquisitions priced on models that assumed an AI-free future. Those models are now wrong. Rowan's framework separates fields with deterministic right answers — software coding, accounting, back-office operations — where AI replaces labour in a near-vertical line, from judgment-heavy fields where augmentation is gradual. Enterprise SaaS sits almost entirely in the first category. The structural consequence, in his view, will be a blue-collar ascendancy and white-collar decline that concentrates economic pain in the urban service economies of major US cities. His credit response is tactical: restrict loan maturities to three to seven years, insist on senior security positioning, and require hard asset collateral rather than enterprise value multiples.
Culture as Infrastructure
At 4,000 asset management employees and 2,000 retirement services staff, Apollo can no longer transmit culture through proximity to founders. The firm spent six months codifying its cultural architecture and published the result on its hiring portal. The centrepiece is a literal Wall of Shame — a requirement that senior professionals document major losses, normalising calculated failure under the assumption that even top performers operate at roughly 60% decision accuracy. Rowan's hiring framework replaces demographic quotas with what he calls "merit adjusted for distance travelled": assessing candidates based on the specific obstacles they overcame to achieve their performance, not their membership in any demographic class. The principle running through all of it is the same one that governed Drexel's trading floor in 1985 — clean-sheet thinking, and the refusal to treat legacy structures as permanent constraints.