Just 10% of financial institutions and insurers are achieving clear, measurable returns from their artificial intelligence (AI) investments, despite pouring billions into the technology.
Spending on AI across the banking, financial services, and insurance (BFSI) sector is projected to rise to $97b by 2027, up from $35b in 2023, according to Dyna.Ai estimates.
Among the early success stories is Singapore’s DBS, which generated $565m from 350 AI applications in 2024 and is aiming for $745m in 2025, based on a Dyna.Ai report released in February 2026.
“While many banks believe they are making progress with AI, studies indicate that only 10% of organizations deploying agentic AI are realizing significant, measurable ROI,” said Tomas Skoumal, chairman and co-founder of Dyna.Ai.
Organizational hurdles such as fragmented data, unclear governance frameworks, and slow adoption continue to hamper BFSI AI rollouts across Southeast Asia, the Middle East, and Latin America.
Dyna.Ai noted that institutions aligning AI initiatives with revenue generation and integrating governance from the outset are advancing beyond pilot stages toward large-scale deployment.
“Success will depend not on the number of pilots, but on how quickly organizations can scale deployment while ensuring accountability for measurable results,” the company said in a press release.
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