Active Use of AI Across Finance Functions More than Double in 2 Years
What's happening
Between 2024 and March 2026 the active use of AI across finance functions more than doubled, according to a KPMG study of more than 1,000 global senior leaders and C-suite direct reports. Firms now use AI to execute trades, manage treasury positions, reconcile invoices, make credit decisions and run agentic workflows, with banks piloting agentic AI (52%) though only 16% report full production deployment. The rapid capability curve has exposed gaps: audit trails and infrastructure to prove agents' actions lag deployments, legacy systems block translation of AI spending into operational change, and many organisations have not reconfigured work to capture sustained value on the balance sheet.
Why it's trending
Because enterprise AI moved from experiment to expectation fast, revealing operational, audit and legacy-infrastructure bottlenecks now that use has scaled.
SignalHolding at its usual pace, confirmed across 2 independent source types.
Momentum
Score per dayStory volume
Stories per dayAngles you could write
Everyone says AI is the finish line for finance, but most banks just signed up for a new compliance headache, not guaranteed profits yet.
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Original sources10
- What’s holding back AI adoption in financial services?
AI has moved from experiment to expectation across financial services. Banks, insurers and investment firms are investing heavily in the technology, yet widespread adoption remains harder than the hype suggests. The challenge is no longer whether AI can deliver value, but whether firms can deploy it safely, at scale and with enough confidence to change […] The post What’s holding back
FinTech GlobalSep 14 - Banks’ wealth units pursue AI — carefully
'Some of the best ideas have come from junior employees doing the analytical work who often understand the technology better.' The post Banks’ wealth units pursue AI — carefully appeared first on ABA Banking Journal .
ABA Banking JournalSep 14 - AI agents in finance grew faster than anyone expected. The audit trail conversation hasn't kept up.
A year ago the conversation was about whether AI agents would ever touch real money. Now they're executing trades, managing treasury positions, reconciling invoices, and making credit decisions autonomously at enterprise scale. The capability curve moved faster than most people predicted. What hasn't moved at the same pace is the infrastructure to prove what those agents actually did. Most deploym
r/fintechSep 8
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