Almost all asset managers using AI in their risk management systems say the technology has improved the real-time insights they receive, according to research from Clearwater Analytics.
The study found that 95% of surveyed managers had seen an improvement in real-time insights since adopting AI, including 17% who described the change as dramatic.
Overall, 92% said it had made their risk management more proactive, including 32% who said it had become much more proactive.
AI is also improving managers’ predictive analytics capabilities. Some 87% of respondents said their ability to use predictive analytics had improved, including 20% who reported a dramatic improvement. Only 1% said it had worsened.
It is also supporting other key business functions such as reporting and operations. Some 88% of managers had increased the speed of regulatory and accounting reporting, with 42% experiencing an improvement of between 10% and 24%, and 30% reporting gains of between 25% and 49%.
However, AI has not been without its implementation challenges.
Although more than half of managers said the technology had reduced their reliance on manual reconciliations, 24% said it had slowed their reconciliation processes.
Souvik Das, CTO at Clearwater Analytics, said the results underline the importance of having clean, reconciled data underpinning AI systems.
“The technology only delivers on this shift when the data and systems underneath it are ready to support it,” he added.
Clearwater commissioned PureProfile to survey 178 senior executives at asset management firms, including hedge funds, private markets specialists and insurance asset managers, across Europe, the US and Asia in March 2026.
