WSJ's Take On the Week

The Risks Behind the Expected $5.3T AI Data Center Funding Boom

17 snips
Jan 25, 2026
Greg Peters, co-CIO for public fixed income at PGIM, a bond-market and credit specialist. He discusses the $5.3 trillion AI data-center financing surge and why much of it may hit bond markets. Short construction loans vs long unsecured hyperscaler debt come up. He highlights winner-take-all risks in hyperscaler buildouts and his top near-term worry: economic overheating.
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INSIGHT

Scale Of The AI Data-Center Finance Wave

  • The AI data-center buildout requires roughly $5.3 trillion of financing, with about $4 trillion expected to hit the bond market.
  • Greg Peters warns investors to be careful because this is an eye-popping supply wave that must be absorbed soon.
ADVICE

Prefer Shorter, Collateralized Loans

  • Favor shorter-tenor, collateralized construction-style financing over long unsecured bonds when lending into data-center builds.
  • Greg Peters prefers five-year in structures with strong collateral and backstops to mitigate refinancing and technology risks.
INSIGHT

Mismatch Between Debt Tenor And Tech Risk

  • Hyperscalers have been issuing long-term unsecured investment-grade debt despite high uncertainty about tech and useful-life of racks and chips.
  • Peters questions issuing 40-year unsecured debt given rapid technology and refinancing unknowns.
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