Meta Muse AI App Sparks $600B Debt Cycle: Who Wins in Credit?

Everyone is talking about the AI equity rally, but the bond market is quietly doing something wild. Goldman Sachs chief credit strategist Amanda Lynam dropped a number on Bloomberg that deserves more attention: nearly $600 billion in global AI-related debt has been issued so far in 2026. And here's the part that actually surprised people, hyperscalers like Microsoft, Google, and Amazon represent only 40% of that total. The other 60% is a sprawling ecosystem of data center builders, power infrastructure plays, and the companies that supply them.

Lynam says this debt issuance cycle is not a blip. Goldman expects it to persist through 2030 and 2031, fueled by the simple reality that agentic AI, the kind powering Meta's Muse app that hit number one on the Apple App Store and sent $AMD past a $1 trillion market cap in a single session, requires dramatically more compute than your average chatbot query. More compute means more data centers, more power, more debt.

So where is Goldman putting money to work in credit right now? They're recommending investors move selectively down in quality: overweight triple-B's in investment grade and overweight single-B's over double-B's in high yield. That's a subtle but important signal. It says the macro backdrop is stable enough to take on credit risk, but not so frothy that you should be buying junk indiscriminately. Translation: Goldman thinks the AI spending boom is real and durable, but the easy money in pristine IG paper is largely made.

The other piece of this picture is where the financing is going next. Lynam flagged that private credit, private infrastructure, and private real estate markets are sitting on $4.5 trillion in dry powder and are expected to play a larger role in AI financing over time. That's a significant structural shift away from public bond markets, which matters for anyone tracking liquidity and spread dynamics in the years ahead. The implication is that the next wave of AI debt may be harder for retail investors to see coming.

One headwind worth watching: Bloomberg's Piper Sandler economist Nancy Lazar notes that M2 money supply is growing at 7%, wage inflation could broaden further into 2027, and the 10-year Treasury yield is hovering near 5% with a potential path to 5.50%. Tighter financial conditions could absolutely slow the pace of AI debt issuance, or at minimum, raise the cost of capital for the smaller players who aren't named Google.

The hyperscalers will be fine either way. It's the 60% you've never heard of that's the real trade here.