18 ways AI is rewriting the future of financial services: Key insights from the AWS Financial Services Symposium
AI in financial services has stopped being just another technology tool and started becoming a measure of operational readiness.
In 2025, 45% of IT decision-makers ranked generative AI tools as their top budget priority. By 2026, nearly 100% of financial services respondents said their AI budgets would increase or hold steady, with 41% focusing investment on optimizing AI workflows already in production. Now the bill is coming due: Financial firms have to turn AI experiments into production systems that can spot risk, accelerate decisions and move faster than legacy processes allow.
Of course, the strategic question is becoming less about whether AI can improve the present and more about whether it can help them prepare for futures their historical models were never built to see, according to Ioana Boier, global head of capital markets at Nvidia Corp.
“It used to be that quantitative research was about making certain assumptions or looking at the historical information and try to think of what the future would look like based on the past,” she said. “That’s never repeating itself. The past is not repeating itself.”
