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Finance firms set to pour more investment into AI amid ‘data divide’ fears

A majority of surveyed global asset management firms plan to raise their artificial intelligence budgets by at least 50% within the next year, according to a study released Tuesday by US fintech firm Clearwater Analytics. The study found that 62% of polled fund managers expect transformative change in data generation and summarisation, while 58% cited effects on decision-support systems and 57% cited predictive modelling and stress-testing. “What’s striking is that AI adoption is forcing fund managers to confront the fundamentals of data management in a way nothing else has,” said Souvik Das, chief technology officer at Clearwater Analytics.

read1 min views1 publishedJul 30, 2026
Finance firms set to pour more investment into AI amid ‘data divide’ fears
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A majority of surveyed asset management firms plan to raise their AI budgets next year, affecting data management and workforce dynamics

A majority of surveyed global asset management firms plan to raise their artificial intelligence budgets by at least 50 per cent within the next year as the technology transforms the finance industry, a recent study showed.

The adoption of AI is also going to have a big impact on labour-intensive operations: 62 per cent of polled fund managers expect transformative change in data generation and summarisation, according to a study released Tuesday by US fintech firm Clearwater Analytics.

According to those surveyed, 58 per cent pointed to the effects on decision-support systems, including portfolio rebalancing, while 57 per cent cited predictive modelling and stress-testing.

“What’s striking is that AI adoption is forcing fund managers to confront the fundamentals of data management in a way nothing else has,” said Souvik Das, chief technology officer at Clearwater Analytics.

The study, titled “GenAI and the Data Divide,” drew on responses from 178 senior executives across hedge funds, private credit, and institutional asset managers located in Europe, the US and Asia.

Beyond these day-to-day advances, AI is rapidly taking on more complex and historically challenging operational tasks.

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