Tan Su Shan, chief government officer of DBS Group Holdings Ltd., talking on the Singapore Fintech Competition in Singapore, on Nov. 12, 2025.
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SINGAPORE – Amid fears of a synthetic intelligence bubble, a lot has been manufactured from latest studies suggesting that AI has but to generate returns for corporations investing billions into adopting the tech.
However that is not what the chief government of Southeast Asia’s largest financial institution is seeing — she says her agency is already reaping the rewards of its AI initiatives, and it is solely only the start.
“It isn’t hope. It is now. It is already occurring. And it’ll get even higher,” DBS CEO Tan Su Shan advised CNBC on the sidelines of Singapore Fintech Week, when requested concerning the promise of AI adoption.
DBS has been working to implement synthetic intelligence throughout its financial institution for over a decade, which helped put together its inner information analytics for latest waves of generative and agentic AI.
Agentic AI is a sort of synthetic intelligence that depends on information to proactively make unbiased selections, plan and execute duties autonomously, with minimal human oversight.
Tan expects AI adoption to deliver DBS an total income bump of greater than 1 billion Singapore {dollars} (about $768 million) this 12 months, in comparison with SG$750 million in 2024. That evaluation is predicated on about 370 AI use instances powered by over 1,500 fashions all through its enterprise.
“The proliferation of generative AI has been transformative for us,” Tan mentioned, including that the corporate was experiencing a “snowballing impact” of advantages due to machine studying.
A significant space by which DBS has utilized AI is in its monetary companies to institutional shoppers, with AI used to gather and leverage information for shoppers with a view to higher contextualize and personalize choices.
In response to Tan, this has resulted in “quicker and extra resilient” groups. The CEO believes that these makes use of of AI have contributed to a latest uptick within the financial institution’s deposit development as in comparison with rivals’.
The corporate additionally not too long ago launched a newly enhanced AI-powered assistant for company shoppers often called “DBS Pleasure,” which assists shoppers with distinctive company banking queries across the clock.
ROI issues
Regardless of Tan’s sturdy convictions about AI, latest proof means that many corporations are struggling to show their AI investments into tangible income.
MIT launched a report in July that discovered 95% of 300 publicly disclosed AI initiatives, encompassing generative AI investments of $30–$40 billion, had failed to realize actual returns.
Nevertheless, a minimum of within the banking sector, there are indicators that the tides are turning.
Whereas DBS would not differentiate spending in generative AI from different in-house investments, different main banks have not too long ago provided this comparability.
JPMorgan Chase CEO Jamie Dimon said in an interview with Bloomberg TV final month that the financial institution is already breaking even on its roughly $2 billion of annual investments in AI adoption. That represents “simply the tip of the iceberg,” he added.
These expectations are shared by DBS, which plans to proceed to speed up its AI growth to turn into an AI-powered financial institution.
The last word objective, in keeping with Tan, is for its generative AI to develop right into a trusted monetary advisor for shoppers, together with retail customers who’re anticipated to work together with personalised AI brokers via the DBS banking app.
The financial institution already has over 100 AI algorithms that analyze customers’ information to supply them with personalised “nudges,” comparable to alerts on incoming shortfalls, product suggestions, and different insights.
Continued AI investments
Whereas DBS might already be reaping rewards from its AI adoption, Tan acknowledged that it’ll require continued investments, not solely in capital, however within the time wanted to reskill staff.
The corporate has launched a number of AI reskilling initiatives throughout departments this 12 months and has even deployed a generative AI-powered teaching software to help these efforts.
This may assist the corporate automate mundane work and refocus its workers on constructing and sustaining human-to-human relationships with clients, fairly than lowering headcount, Tan mentioned.
“We’re not freezing hiring, however it does imply reskilling. And that is a journey. It is a unending journey … a relentless evolution.”