S&P Weighs Banks' AI Strategies in Credit Ratings

S&P Global Ratings has announced that it will be taking into account banks' adoption of artificial intelligence (AI) when assessing their creditworthiness. The move is seen as a significant shift in how ratings agencies evaluate financial institution risk.

The report, released in September 2026, found that 84% of finance firms are currently using AI primarily for support functions and process automation, such as fraud detection and document processing. However, fewer than one in three firms have deployed AI to develop new products or services due to concerns about regulatory compliance and reputational risk.

The report also projects that AI-driven cost reductions will reach up to 4% in 2026, climbing to 6-8% by 2028. S&P's core argument is that uneven AI adoption will produce meaningfully different outcomes across institutions.

Banks that integrate AI effectively are expected to see improvements in financial performance, risk management, and competitive positioning. However, a bank that races to deploy AI without robust oversight frameworks is taking on model risk, regulatory risk, and reputational risk simultaneously.