Apollo's business has fundamentally transformed into a credit and retirement services-focused firm, making its historical perception as a traditional private equity shop outdated.
The private credit market, particularly Apollo's model, enhances financial system stability by shifting non-investment grade credit from highly-levered banks to more stable, lightly-levered capital structures.
Apollo's risk exposure to the potentially volatile software lending sector is deliberately minimal ('a couple percent of AUM'), with its insurance subsidiary Athene having virtually zero exposure.
AI will be a major disruptive force for software companies that lack strong moats, proprietary data, and regulatory protection, a key risk factor in underwriting.
Apollo's superior credit performance is driven by its immense scale, a rigorous underwriting process that evaluates 10-20x the assets it originates, and a strong alignment of interest by holding a large portion of its loans.
Last 20 Years
Claims Apollo has fundamentally shifted its business model away from its origins, with traditional private equity now accounting for less than 10% of its business.
Last 5-6 Years
Notes a major trend in the buyout market where approximately one-third of all private equity deals have been for software companies, creating a large addressable market for software-related credit.
Recent Past
Details Apollo's strategy of growth through acquisition of specialized platforms, including Atlas (a warehouse lending business) from Credit Suisse and PK Air Finance from GE Capital.
Last Year
States that Apollo originated $300 billion in assets, with over 70% of that volume being rated investment grade by major agencies.
Present
Describes Apollo's current structure where its largest business is retirement services via Athene, which holds $35 billion of Apollo's capital and has effectively zero exposure to software lending.
▶Apollo's Strategic Pivot to Credit and InsuranceMay 2026
Edson portrays Apollo's evolution from a traditional private equity firm to an entity primarily focused on private credit and retirement services. He states that PE is now less than 10% of the business, while the insurance subsidiary, Athene, is its largest segment and holds $35 billion of Apollo's own capital.
This strategic shift leverages stable, long-term capital from insurance liabilities to fund a massive credit origination engine, creating a self-reinforcing ecosystem that is less dependent on volatile public markets and traditional PE fundraising cycles.
▶The Scale and Mechanics of the Origination EngineMay 2026
Edson quantifies the immense scale of Apollo's operations, highlighting the origination of $300 billion in assets in one year. A core tenet of this process is retaining 25-50% of every originated loan on its own balance sheet, primarily through Athene.
This 'eat your own cooking' approach is presented as a key differentiator that enforces underwriting discipline and aligns Apollo's interests with its investors, contrasting with models that prioritize syndication and fee generation.
▶Systemic De-risking and Transparency in Private CreditMay 2026
Edson argues that the growth of private credit has de-risked the overall financial system by moving non-investment grade credit from highly-levered banks to lightly-levered private funds. He also emphasizes Apollo's transparency, noting that Athene's regulatory filings provide a complete, public list of every loan on its balance sheet.
This narrative directly counters the common critique of private credit as an opaque 'shadow banking' sector, positioning Apollo as a disciplined, transparent, and stabilizing force in the market.
▶AI as Both a Tool and a Disruptive ThreatMay 2026
Edson discusses AI from two perspectives: as a powerful productivity tool he used to build a math game for his daughter in 60 seconds, and as a significant threat to certain types of businesses. He predicts that software companies lacking moats, proprietary data, or regulatory overlays will face disruption from AI in the near future.
This dual perspective suggests an investment thesis where AI's value is not just in its application, but in its ability to stress-test the defensibility of existing business models, creating a clear divide between vulnerable and resilient assets.