Apollo Explains How Big Tech Is Disrupting Credit Markets

Episode Summary

Executive Summary: The episode explores how the AI and tech boom is reshaping credit markets, not just equities. Apollo’s Rob Bittencourt explains that financing is shifting toward private credit, investment-grade private lending, ABS, and project finance to fund data centers, power, semiconductors, fiber, and nuclear buildouts. Credit investors focus on downside risk, disruption, and avoiding secular losers while selectively backing long-duration infrastructure themes.

Main Topics: Tech’s rise in equity markets and spillover into credit: The hosts note mega-cap tech’s growing dominance in the S&P 500 and ask how AI-led enthusiasm is affecting corporate debt and lending markets. Apollo’s opportunistic credit business: Bittencourt explains Apollo’s credit platform, his team’s role in sourcing and underwriting, and how opportunistic credit targets 8%-13% returns across public and private markets. AI as a capital-intensive infrastructure cycle: Unlike prior software cycles, AI requires enormous spending on data centers, power, chips, and supporting facilities, creating opportunities for long-duration private investment-grade credit. Disruption risk and credit investing: Credit investors are less focused on identifying winners than on avoiding losers; sectors facing technological disruption can see widening spreads, consolidation, or distress. Government policy and crowding-in private capital: The discussion covers how CHIPS, BEAD, and the Inflation Reduction Act may attract private capital alongside public funding rather than crowd it out. New financing structures: ABS, GPU-backed loans, and project finance: Emerging needs in data centers, fiber, and energy are creating specialized structures such as asset-backed securities and loans secured by GPUs or infrastructure cash flows. Historical analogies and market timing: The conversation compares today’s AI buildout to earlier telecom and cable disruptions, noting that markets can overreact, but secular shifts still play out over years.

Key Arguments: Tech is no longer just an equity story; its capital needs are increasingly visible in credit markets through private lending, ABS, and project finance. SaaS became credit-friendly because it produced predictable, recurring cash flows and required little capex, making leverage more attractive to lenders. AI is fundamentally different from prior tech cycles because it is highly capital intensive and requires financing for data centers, power generation, and chips. Private credit is well suited to long-duration, high-quality infrastructure-like investments, especially when public markets are too fast or too shallow for complex deals. Credit investors prioritize downside protection and sector analysis aimed at spotting secular losers rather than chasing upside winners. The market can overprice disruption at times, creating opportunities in sectors like cable that still have durable cash flow and oligopolistic structures. Government programs can catalyze investment by reducing risk and helping new sectors become financeable before private capital fully scales. Banks remain important but are no longer the dominant providers of non-financial lending; private credit is another channel in a long-running shift away from bank balance sheets.

Data Points: S&P 500 gain YTD: 20.35% - Host compares major index performance to show the S&P increasingly resembles the NASDAQ. NASDAQ gain YTD: 28.3% - Used to illustrate the dominance of mega-cap tech stocks in equity markets. Apollo total AUM: about $700 billion - Bittencourt describes Apollo’s overall platform size. Apollo credit AUM: about $500 billion - Portion of Apollo assets in credit strategies. Opportunistic credit pool: about $30 billion - Capital managed by Bittencourt’s opportunistic credit business. Target returns for opportunistic credit: 8% to 13% - Broad return objective for the opportunistic credit strategy. Technology share of LBO activity today: about 25% - Bittencourt says a quarter of leveraged buyout activity is now in tech. Technology share of LBO activity pre-pandemic: about 20% - Shows recent increase in tech’s role in leveraged buyouts. Software share of leveraged loan market: about 15% - Current exposure in the levered loan market. Technology share of high-yield bond market: about 5% - Smaller but meaningful technology presence in high-yield bonds. High-yield spread level: about 300 basis points - Referenced when discussing sector dispersion in the credit market. Sectors with spreads above 1,000 bps: cable satellite, telecom, broadcast TV - Examples of sectors under intense credit pressure. One gigawatt of data center capacity cost: about $10 billion - Used to illustrate the scale of AI infrastructure spending. Estimated AI capacity needed: over 100 gigawatts - Implied total data center buildout required for AI. Implied AI infrastructure spend: about $1 trillion - Derived from 100 gigawatts at roughly $10 billion per gigawatt. One gigawatt of natural gas power cost: about $1 billion - Used in the discussion of supporting energy infrastructure. One gigawatt of solar power cost: about $1 billion - Comparison for energy buildout costs. Last U.S. nuclear plant cost: $35 billion for about 5 gigawatts - Used to show the scale and complexity of nuclear construction. CHIPS Act allocation: $50 billion - Government funding for domestic semiconductor supply chain buildout. Budget deficit: $2 trillion - Mentioned as a macroeconomic concern while discussing crowding out. Peak share of non-financial lending in banks: 50% in 1975 - Historical benchmark for bank dominance in lending. Share in 2007: 30% - Shows long-term decline in bank lending share. Share today: 20% - Current approximate share of non-financial lending held by banks.

Pivotal Quotes: "the S&P 500 is morphing into the NASDAQ" — Joe Weisenthal: Used to describe the growing dominance of mega-cap tech within the broad equity index. "AI, which I think you referenced before, is very capital-intensive. You need to build the data centers. You need to build the power to support those data centers." — Rob Bittencourt: Explains why AI creates a major new financing opportunity for credit investors. "Generally, we want to avoid sort of secular losers, if you will." — Rob Bittencourt: Summarizes the downside-protection mindset that defines credit investing.

Implications: Tech and AI are becoming a major credit-market theme, not just an equity-market one. Investors should expect more private financing, securitization, and project-level structures around data centers, power, and semiconductor supply chains, while weaker legacy sectors face widening spreads and consolidation.