Archive · 13 Nov 2025
S&P Report: Banks Face Rising AI Costs and Escalating Risks
Imagine banks are like big companies that lend money and keep it safe.
A new report says these banks are facing a lot of new problems.
One big problem is using smart computer programs called AI.
While AI can help banks do things better and faster, it also costs a lot of money to set up and keep running.
Plus, using AI can sometimes create new kinds of mistakes and make banks rely too much on outside companies.
These new challenges mean some banks might struggle, while others that use AI smartly might do even better.
The report also predicts that banks might have more trouble getting their money back from people who borrowed it, especially in places like Asia.
This means banks need to be very careful about how they use new technology and manage all the new risks.
Global banks face increasing challenges from digitalization, AI adoption, climate change, and cyber threats, according to S&P Global Ratings.
AI presents both opportunities for competitive advantage and potential risks due to rising costs and reliance on third-party vendors.
The report forecasts a widening performance gap between stronger and weaker banks due to these evolving risks.
AI can enhance risk management and financial performance long-term, but requires significant upfront and ongoing expenditure.
Global bank credit losses are projected to rise in 2026, with the Asia-Pacific region expected to see the largest increase.
- Who
- Global banking sectors and S&P Global Ratings
- What
- Facing escalating risks and rising costs associated with AI adoption, alongside other challenges like digitalization, climate change, and cyber threats.
- When
- The report discusses current trends and forecasts credit losses for 2026 and 2027.
- Where
- Global banking sectors, with a specific mention of the Asia-Pacific region and China.
- Why
- To highlight the evolving risk landscape impacting banks' business models, risk management, and financial performance, while noting the dual nature of AI as both an opportunity and a challenge.
Opportunities Presented by AI
Challenges Posed by AI
Business Models and Competition
Opportunities Presented by AI
AI adoption can provide a competitive advantage, with new AI-enabled entrants gaining market share.
Challenges Posed by AI
The increasing costs and risks associated with AI adoption challenge some banks' business models and risk management practices.
Financial Performance and Costs
Opportunities Presented by AI
AI can deliver long-term benefits through efficiency gains, increased revenue, improved brand value, and client loyalty.
Challenges Posed by AI
Banks face significant capital expenditure and ongoing running costs for AI solutions.
Risk Management
Opportunities Presented by AI
AI can enhance risk identification, monitoring, and pricing for banks.
Challenges Posed by AI
Deploying AI introduces new technical risks and increases reliance on third-party vendors.
- Report Source
- S&P Global Ratings
- Key Challenges for Global Banks
- Rapid digitalization, AI adoption, climate change, increasing cyber threats, rising AI costs, and escalating risks.
- Projected Impact of Risks
- Pressure on business models and risk management, widening performance gap between stronger and weaker banks, increased credit divergence.
- AI's Role in Business Landscape
- Determines competitive advantage; AI-enabled entrants gaining market share.
- Financial Performance Considerations
- Capital expenditure and running costs of AI versus long-term benefits from efficiency gains and revenue increases.
- Risk Management Considerations
- AI can improve risk detection but introduces technical risks and third-party vendor reliance.
- Projected Global Credit Losses
- Rise by USD 46 billion in 2026 (to USD 655 billion total) before easing in 2027.
- Region with Largest Loss Increase
- Asia-Pacific, due to tariff uncertainties affecting China's micro/small enterprises and unsecured consumer credit.