Goldman Sachs said that artificial intelligence as a whole is expected to have a positive impact on the credit situation of the banking industry, mainly through two paths: first, banks can obtain investment banking and financing income from the AI capital expenditure cycle, including consulting, underwriting, syndicated loans, asset management and project financing; second, using AI for internal automation to improve operational efficiency and control costs. Goldman Sachs pointed out that the Bank of America already discusses AI capital expenditure more frequently than non-financial companies during earnings calls, reflecting that AI infrastructure construction such as data centers is bringing more financing opportunities. The Federal Reserve's January senior credit officer survey also showed that banks are more willing to lend to companies that are expected to benefit from AI. Goldman Sachs anticipates that if the capacity of the traditional syndicated loan market tightens, banks may further expand the scale of direct financing for AI-related projects. At the same time, AI-related financing requirements have driven an increase in the issuance of US dollar bank bonds, indicating that bank balance sheets are participating more in financing activities in the AI ecosystem.

Goldman Sachs said that artificial intelligence as a whole is expected to have a positive impact on the credit situation of the banking industry, mainly through two paths: first, banks can obtain investment banking and financing income from the AI capital expenditure cycle, including consulting, underwriting, syndicated loans, asset management and project financing; second, using AI for internal automation to improve operational efficiency and control costs. Goldman Sachs pointed out that the Bank of America already discusses AI capital expenditure more frequently than non-financial companies during earnings calls, reflecting that AI infrastructure construction such as data centers is bringing more financing opportunities. The Federal Reserve's January senior credit officer survey also showed that banks are more willing to lend to companies that are expected to benefit from AI. Goldman Sachs anticipates that if the capacity of the traditional syndicated loan market tightens, banks may further expand the scale of direct financing for AI-related projects. At the same time, AI-related financing requirements have driven an increase in the issuance of US dollar bank bonds, indicating that bank balance sheets are participating more in financing activities in the AI ecosystem.