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CEO Southeast Asia’s top bank DBS says AI adoption already paying off

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Tan Su Shan, chief executive officer of DBS Group Holdings Ltd., speaking at the Singapore Fintech Festival in Singapore, on Nov. 12, 2025.

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SINGAPORE – Amid fears of an artificial intelligence bubble, much has been made of recent reports suggesting that AI has yet to generate returns for companies investing billions into adopting the tech. 

But that’s not what the chief executive of Southeast Asia’s largest bank is seeing — she says her firm is already reaping the rewards of its AI initiatives, and it’s only just the beginning. 

“It’s not hope. It’s now. It’s already happening. And it will get even better,” DBS CEO Tan Su Shan told CNBC  on the sidelines of Singapore Fintech Week, when asked about the promise of AI adoption.  

DBS has been working to implement artificial intelligence across its bank for over a decade, which helped prepare its internal data analytics for recent waves of generative and agentic AI. 

Agentic AI is a type of artificial intelligence that relies on data to proactively make independent decisions, plan and execute tasks autonomously, with minimal human oversight.

Tan expects AI adoption to bring DBS an overall revenue bump of more than 1 billion Singapore dollars (about $768 million) this year, compared to SG$750 million in 2024. That assessment is based on about 370 AI use cases powered by over 1,500 models throughout its business. 

“The proliferation of generative AI has been transformative for us,” Tan said, adding that the company was experiencing a “snowballing effect” of benefits thanks to machine learning. 

A major area in which DBS has applied AI is in its financial services to institutional clients, with AI used to collect and leverage data for clients in order to better contextualize and personalize offerings. 

According to Tan, this has resulted in “faster and more resilient” teams. The CEO believes that these uses of AI have contributed to a recent uptick in the bank’s deposit growth as compared to competitors’.

The company also recently launched a newly enhanced AI-powered assistant for corporate clients known as “DBS Joy,” which assists clients with unique corporate banking queries around the clock. 

ROI concerns 

Despite Tan’s strong convictions about AI, recent evidence suggests that many companies are struggling to turn their AI investments into tangible profits. 

MIT released a report in July that found 95% of 300 publicly disclosed AI initiatives, encompassing generative AI investments of $30–$40 billion, had failed to achieve real returns. 

However, at least in the banking sector, there are signs that the tides are turning. 

While DBS doesn’t differentiate spending in generative AI from other in-house investments, other major banks have recently offered this comparison. 

JPMorgan Chase CEO Jamie Dimon stated in an interview with Bloomberg TV last month that the bank is already breaking even on its approximately $2 billion of annual investments in AI adoption. That represents “just the tip of the iceberg,” he added.

Those expectations are shared by DBS, which plans to continue to accelerate its AI development to become an AI-powered bank.

The ultimate goal, according to Tan, is for its generative AI to develop into a trusted financial advisor for clients, including retail users who are expected to interact with personalized AI agents through the DBS banking app. 

The bank already has over 100 AI algorithms that analyze users’ data to provide them with personalized “nudges,” such as alerts on incoming shortfalls, product recommendations, and other insights. 

Continued AI investments 

While DBS may already be reaping rewards from its AI adoption, Tan acknowledged that it will require continued investments, not only in capital, but in the time needed to reskill employees. 

The company has launched several AI reskilling initiatives across departments this year and has even deployed a generative AI-powered coaching tool to support these efforts. 

This will help the company automate mundane work and refocus its staff on building and maintaining human-to-human relationships with customers, rather than reducing headcount, Tan said. 

“We’re not freezing hiring, but it does mean reskilling. And that’s a journey. It’s a never-ending journey … a constant evolution.”

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Private Credit Expansion and Regulatory Oversight in 2026 Capital Markets

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The global private credit market has solidified its role as a fundamental pillar of enterprise finance, expanding rapidly across middle-market lending, asset-backed finance, and infrastructure financing. As non-bank financial institutions capture a larger share of corporate debt origination, global regulatory bodies are increasing oversight to evaluate market transparency and systemic risk interconnections.

Growth Drivers in Direct Lending
Direct lending platforms have continued to attract substantial institutional allocations from pension funds, sovereign wealth entities, and insurance companies seeking attractive risk-adjusted yields. Private debt funds offer corporate borrowers customized financing structures, faster execution timelines, and confidentiality compared to syndicated loan markets.

In 2026, private credit managers are increasingly financing larger corporate transactions, providing multi-billion-dollar credit facilities for buyout deals and corporate restructurings. The flexibility of private debt contracts—featuring unitranche pricing and tailored covenant packages—has made direct lending the preferred capital source for middle-market enterprise sponsors.

Regulatory Scrutiny and Systemic Risk Assessment
The rapid growth of non-bank intermediation has drawn heightened scrutiny from financial regulators in North America and Europe. Because private debt agreements are negotiated privately without public exchange disclosures, central banks are evaluating potential vulnerabilities related to asset valuation consistency and fund liquidity profiles.

Regulatory agencies are introducing guidelines aimed at improving reporting standards for private investment vehicles managing institutional assets. Key focus areas include monitoring leverage ratios within private credit funds and evaluating indirect credit exposures between commercial banking institutions and private debt funds.

Navigating Elevated Refinancing Costs
With benchmark interest rates remaining elevated, private debt borrowers face higher debt service obligations on floating-rate credit facilities. Financial advisory firms report an increase in proactive liability management strategies, including payment-in-kind (PIK) interest options, equity infusions from sponsors, and covenant modifications.

Private credit managers with deep operational capabilities are actively working alongside portfolio companies to optimize working capital and maintain cash flow coverage ratios during periods of higher borrowing costs.

Key Financial Takeaways
1. Mainstream Asset Class: Private credit has expanded beyond niche alternative asset status into a core corporate finance solution.
2. Enhanced Transparency Standards: Regulatory frameworks are evolving toward greater disclosure requirements for private debt managers.
3. Proactive Risk Management: Lenders and sponsors must prioritize debt sustainability and active portfolio monitoring amid high benchmark rates.

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Venture Capital and Startup Valuations in 2026: Focus on Unit Economics and Sustainable Growth

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The global venture capital (VC) ecosystem is operating under a disciplined investment framework in 2026. Following years of valuation adjustments and shifting liquidity environments, venture capital firms and private equity investors are prioritizing proven unit economics, positive cash flow pathways, and capital efficiency over rapid, unconstrained user acquisition.

The Shift Toward Disciplined Startup Valuations
Early-stage and growth-stage startup valuations have stabilized at sustainable historical averages. Venture capital partners are conducting rigorous due diligence processes before deploying capital, scrutinizing gross margins, customer acquisition costs (CAC), net revenue retention (NRR), and lifetime value (LTV) metrics.

While total capital deployed remains robust, seed and Series A funding rounds are taking longer to finalize. Founders are expected to demonstrate clear product-market fit and defensible intellectual property rather than relying on top-line revenue projections unsupported by strong underlying economics.

M&A Activity and Liquidity Solutions
The market for venture-backed exits is seeing renewed momentum through strategic mergers and acquisitions (M&A) and secondary market liquidity facilities. Established corporate enterprises are acquiring high-performing technology startups to integrate proprietary artificial intelligence models and specialized software solutions into their product ecosystems.

Simultaneously, secondary market transactions have become an essential liquidity mechanism for early employees and institutional investors. Specialized secondary funds are purchasing pre-IPO shares at discounted valuations, providing liquidity opportunities while companies remain private for longer durations.

Sector Allocation: Deep Tech, Clean Energy, and Enterprise Automation
Venture capital investment is heavily concentrated in deep technology and capital-intensive engineering sectors. High-growth investment themes include:
– Next-Generation Semiconductors: Hardware startups designing specialized AI processors and energy-efficient microchip architectures.
– Clean Technology: Battery chemistry innovations, carbon capture solutions, and grid-scale energy storage startups.
– Enterprise Process Automation: Software platforms that automate complex workflows in healthcare, financial services, and industrial logistics.

Key Insights for Entrepreneurs and Investors
1. Prioritize Capital Efficiency: Startups focused on achieving operational profitability receive higher valuation premiums from institutional investors.
2. Strategic Exit Planning: Corporate M&A is serving as a primary exit route for venture-backed startups navigating prolonged IPO windows.
3. Focus on High-Moat Technologies: Deep tech and proprietary software architectures are securing the majority of growth-stage capital allocations.

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The Evolution of Digital Payments: Cross-Border Settlement and Central Bank Digital Currencies in 2026

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The infrastructure supporting global commerce is undergoing a major technological upgrade as real-time digital payment rails, cross-border settlement solutions, and Central Bank Digital Currency (CBDC) pilot programs achieve widespread commercial adoption. Financial institutions and fintech developers are reimagining payment processing to eliminate friction, lower transaction fees, and accelerate settlement speed.

Transforming Cross-Border Settlement Infrastructure
For decades, international corporate payments relied on legacy correspondent banking networks characterized by multi-day settlement delays, opaque fee structures, and high foreign exchange markups. In 2026, modern cross-border payment networks are enabling near-instantaneous settlement for international trade transactions.

Financial technology platforms are leveraging distributed ledger technology and real-time gross settlement (RTGS) interconnections to settle transactions in seconds. International trade participants benefit from reduced working capital requirements and minimized foreign exchange volatility risks during cross-border transfers.

Commercial Expansion of Central Bank Digital Currencies
Central banks representing major global economies are advancing CBDC initiatives from research phases into active commercial deployment. Wholesale CBDCs—designed specifically for interbank settlement and financial institution clearing—are demonstrating substantial efficiency gains in domestic and international transactions.

At the retail level, several nations have introduced public digital currency options alongside existing commercial banking networks. These sovereign digital payment channels aim to expand financial inclusion, lower consumer transaction fees, and improve the efficiency of government-to-citizen financial disbursements.

Open Banking and Embedded Finance Ecosystems
Alongside settlement infrastructure upgrades, open banking regulations and embedded finance frameworks are transforming merchant-consumer interactions. Commercial businesses across retail, travel, and business-to-business (B2B) services are integrating seamless payment APIs directly into their customer software interfaces.

Through open banking frameworks, consumers can initiate secure bank-to-bank payments without relying on traditional credit card networks, significantly reducing merchant processing fees. Integrated Buy-Now-Pay-Later (BNPL) options and point-of-sale credit facilities continue to expand, driving higher conversion rates for digital commerce platforms.

Strategic Financial Takeaways
1. Treasury Optimization: Corporate treasurers should leverage instant cross-border payment platforms to minimize liquidity buffers and foreign exchange exposure.
2. CBDC Integration: Financial institutions must prepare internal core banking systems to interface with emerging wholesale CBDC payment rails.
3. Merchant Fee Reduction: Enterprise merchants can lower payment processing overhead by adopting account-to-account (A2A) open banking checkout solutions.

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