Generative AI Economic Value in Banking Statistics

Generative AI could add the equivalent of 200 to 340 billion US dollars in annual value to the global banking sector

The estimate corresponds to 9 to 15 percent of operating profit, with the largest projected gains in software engineering, customer operations, and marketing. It is a potential-value estimate under McKinsey's assumptions.

Citi estimated AI could boost the banking industry's 2028 projected profits by about 9 percent, or 170 billion US dollars, from just over 1.8 trillion to close to 2 trillion

Citi's figure draws on a Treasury and Trade Solutions survey of 90 respondents (banks, insurers, asset managers) in April 2024. It is a projection of profit-pool uplift, not a measured result.

65% of respondents said their organizations regularly used generative AI in at least one business function, up from about one third a year earlier

This is the cross-industry adoption baseline for regular generative-AI use; McKinsey's survey included financial-services respondents among 14 sectors. The near-doubling year over year frames how fast value capture is being attempted.

37% of surveyed financial firms cited report generation, synthesis, and investment research as a leading generative-AI use case, and 34% cited customer experience and engagement

These were the top generative-AI use cases by respondent interest, consistent with McKinsey's finding that value concentrates in document-heavy and customer-facing functions.

55% of surveyed financial firms reported actively seeking generative-AI workflows for their companies

The figure reflects demand intent among NVIDIA's surveyed financial-services respondents, a sample skewed toward firms already investing in AI.