Bridgewater warns Big Tech's reliance on external capital to fund AI boom is 'dangerous'

Bridgewater Co‑CIO Greg Jensen warned the AI spending boom is entering a “dangerous” phase as Big Tech increasingly taps external investors to cover mounting compute and data‑centre costs, raising the probability of a bubble; he noted costs are outstripping internal cash flows and the needed buildout faces material constraints. Jensen pointed to soaring valuations and concentration in the U.S. tech sector, highlighted UBS data showing AI data‑centre and project financing surged to $125 billion through November versus $15 billion in the comparable period, and said recent weak guidance from Oracle has amplified investor doubts about whether massive AI capex will translate into profits.

Analysis

Bridgewater Co‑CIO Greg Jensen warned the AI spending boom is entering a "dangerous" phase and wrote there is a "reasonable probability" of a bubble as companies increasingly tap external investors to cover mounting compute and data‑centre costs. He highlighted that costs are rising beyond what internal cash flows can support and cited UBS data showing AI data‑centre and project financing surged to $125 billion through November versus $15 billion in the comparable period in 2024, underscoring the rapid scale‑up of external funding.

The warning gained traction after Oracle issued weak sales and profit forecasts for the third quarter, which reignited investor doubts about whether massive AI capex will translate into profits. Jensen also noted the compute demand requires an unprecedented physical buildout of data centres that faces material constraints, raising execution and funding risk for capital‑intensive players.

Valuations across the AI ecosystem have soared and the U.S. economy is becoming more concentrated around technology, creating concentration risk if the cycle reverses. Market signals show a moderately negative tone and a meaningful market‑impact score, suggesting AI‑related equities and financing conditions are vulnerable to guidance misses and tightening investor appetite for external financing.

Key Decisions for Investors

• Reassess and reduce exposure to companies that rely heavily on external financing for AI capex; prioritize firms with positive free cash flow or clear paths to profitability.
• Monitor near‑term corporate guidance (Oracle‑style misses) and AI data‑centre financing volumes as leading indicators of stress in the buildout.
• Favor software and service providers with low incremental capex needs over firms undertaking large physical buildouts and avoid increasing concentration in U.S. tech names.
• Employ hedges or position‑size reductions for portfolios with large AI concentrations and apply stricter credit and liquidity screens to firms seeking external capital.
• Track lender terms and private financing growth (UBS's $125bn vs $15bn) for signs of tightening liquidity or worsening economics that could amplify a correction.