Banks face a new triple threat: Iran, AI and private credit

The phrase refers to three intertwined risk themes currently weighing on bank valuations and supervision: geopolitical/energy risk from Iran, structural disruption and tail risk from AI, and credit-cycle and liquidity risk from the rapid growth of private credit markets.

Iran: geopolitics and energy

• Escalating Iran–US/Israel conflict has included explicit threats to target U.S. and Israeli economic and banking interests, raising the perceived cyber and physical risk to financial institutions and market infrastructure.

• The conflict has already driven oil-price volatility and concerns about a more persistent energy shock, which would pressure growth, keep inflation elevated, and complicate central banks’ rate-cut plans.

• For banks, that means renewed macro stress scenarios: higher funding costs, market losses on rate-sensitive assets, and potential credit deterioration in energy-exposed sectors if disruption persists.

AI: disruption and model risk

• Banks are exposed to AI both directly and indirectly: they fund data centers, software and semiconductor firms, and are rapidly integrating generative AI into underwriting, fraud, and customer-service workflows.

• Supervisors and analysts are increasingly focused on tail-risk scenarios where AI-driven overinvestment or demand swings leave banks with concentrated exposures to borrowers whose profitability proves more uncertain than modeled.

• Internally, AI raises model-risk, operational-risk, cyber and conduct concerns (black-box credit decisions, biased outputs, data leakage), which in turn could trigger future regulatory capital, governance and compliance costs.

Private credit: shadow banking and contagion

• The private credit market has grown to roughly the multi‑trillion‑dollar range globally, with banks providing funding, facilities and risk-sharing to private funds and BDCs rather than booking all leveraged loans on balance sheet.

• AI disruption is now specifically cited as a catalyst that could push default rates in some software- and services-heavy private credit portfolios well into double digits under stress scenarios, significantly above leveraged-loan baselines.

• Regional and mid-sized banks in particular have “hidden” ties to private credit through fund finance, warehousing lines, and co‑lending structures; a deterioration there could transmit losses and liquidity stress back into the regulated system.

Why this is a “triple threat” for banks

• Geopolitics (Iran) threatens macro conditions, markets and operational resilience; AI challenges the durability of existing business models and risk models; private credit concentrates credit risk in a less transparent channel that still relies on bank funding.

• These three risks are correlated in bad states of the world: a prolonged conflict-driven energy shock could hit growth just as AI-related disruption erodes cash flows for tech and services borrowers, exposing vulnerabilities in opaque private credit structures that banks ultimately backstop.

• For equity investors, the combination helps explain why European and other banks trade at depressed valuations despite stronger capital ratios: large, hard‑to‑model tail risks are keeping a structural discount on the sector.