DBS CEO Tan Su Shan said AI financing is being repriced as investors demand clearer returns and scrutinize deal structures; she described the shift as healthy, not as proof that funding has stopped. DBS had originated about S$25 billion in AI deals in 2026, often arranging syndicated loans and distributing most of t...
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Research answer

Create a landscape editorial hero image for this Studio Global article: What did Tan Su Shan, chief executive of DBS, Southeast Asia’s largest bank, tell Bloomberg Television’s Haidi Stroud-Watts at the DBS Asia. Article summary: Tan’s message was that AI financing is undergoing a healthy risk repricing, not necessarily a funding shutdown: investors want stronger evidence that enormous infrastructure spending will produce durable returns. Speakin. Topic tags: general, news, general web. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fake numbers,
DBS CEO Tan Su Shan says investors are reassessing the risks of financing the AI buildout—and asking for stronger evidence that heavy investment can generate lasting returns. She described demands for higher returns and closer scrutiny of financing structures as a healthy source of discipline, not a reason to treat every AI project as unfinanceable.1
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In an interview with Bloomberg Television’s Haidi Stroud-Watts at the DBS Asia Future Forward conference in Singapore on October 12, 2026, Tan said, “The market has spoken.” Investors, she said, are looking more closely at returns and deal structures to assess whether spending across the AI capital-expenditure ecosystem can deliver long-term value for debt, bond and equity holders.1
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That scrutiny can make financing decisions more selective. Some weaker AI-related borrowers could also face credit-rating downgrades, according to reporting on Tan’s remarks.5 The point is not that investment automatically produces a return, but that borrowers may need to make a more convincing case for how it will.
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Tan said DBS had originated about S$25 billion in AI-related deals during 2026. The bank often acts as lead manager on syndicated loans and distributes them to other lenders, meaning it does not retain all of the lending exposure represented by the deals it originates.6
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That distinction matters when interpreting the headline figure: deal origination is not the same as the amount of risk DBS ultimately holds on its own balance sheet.6
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Tan’s warning extends beyond financing. She has criticized applying AI to existing processes without changing how a business works, describing that approach as “AI lipstick.” Instead, companies should redesign workflows around clear goals and outcomes.8
Together, the two messages set out a practical test for AI investment: a company needs more than access to capital or a new technology label. It needs a credible use for AI and a plausible path from that use to business value. For lenders and investors, closer scrutiny of those plans is part of the market discipline Tan welcomed.1
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Studio Global AI
This page includes a source-backed answer you can continue inside Studio Global.
DBS CEO Tan Su Shan said AI financing is being repriced as investors demand clearer returns and scrutinize deal structures; she described the shift as healthy, not as proof that funding has stopped.
DBS CEO Tan Su Shan said AI financing is being repriced as investors demand clearer returns and scrutinize deal structures; she described the shift as healthy, not as proof that funding has stopped. DBS had originated about S$25 billion in AI deals in 2026, often arranging syndicated loans and distributing most of the exposure rather than holding it all.
Tan also warned companies against “AI lipstick”: adding AI without redesigning workflows around clear business outcomes.
DBS CEO Tan Su Shan said AI financing is being repriced as investors demand clearer returns and scrutinize deal structures; she described the shift as healthy, not as proof that funding has stopped. DBS had originated about S$25 billion in AI deals in 2026, often arranging syndicated loans and distributing most of t...
Published byEdited with GPT-6 LunaImages generated with GPT Image 2
Research answer

Create a landscape editorial hero image for this Studio Global article: What did Tan Su Shan, chief executive of DBS, Southeast Asia’s largest bank, tell Bloomberg Television’s Haidi Stroud-Watts at the DBS Asia. Article summary: Tan’s message was that AI financing is undergoing a healthy risk repricing, not necessarily a funding shutdown: investors want stronger evidence that enormous infrastructure spending will produce durable returns. Speakin. Topic tags: general, news, general web. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fake numbers,
DBS CEO Tan Su Shan says investors are reassessing the risks of financing the AI buildout—and asking for stronger evidence that heavy investment can generate lasting returns. She described demands for higher returns and closer scrutiny of financing structures as a healthy source of discipline, not a reason to treat every AI project as unfinanceable.1
2
In an interview with Bloomberg Television’s Haidi Stroud-Watts at the DBS Asia Future Forward conference in Singapore on October 12, 2026, Tan said, “The market has spoken.” Investors, she said, are looking more closely at returns and deal structures to assess whether spending across the AI capital-expenditure ecosystem can deliver long-term value for debt, bond and equity holders.1
2
18
That scrutiny can make financing decisions more selective. Some weaker AI-related borrowers could also face credit-rating downgrades, according to reporting on Tan’s remarks.5 The point is not that investment automatically produces a return, but that borrowers may need to make a more convincing case for how it will.
1
5
Tan said DBS had originated about S$25 billion in AI-related deals during 2026. The bank often acts as lead manager on syndicated loans and distributes them to other lenders, meaning it does not retain all of the lending exposure represented by the deals it originates.6
18
That distinction matters when interpreting the headline figure: deal origination is not the same as the amount of risk DBS ultimately holds on its own balance sheet.6
18
Tan’s warning extends beyond financing. She has criticized applying AI to existing processes without changing how a business works, describing that approach as “AI lipstick.” Instead, companies should redesign workflows around clear goals and outcomes.8
Together, the two messages set out a practical test for AI investment: a company needs more than access to capital or a new technology label. It needs a credible use for AI and a plausible path from that use to business value. For lenders and investors, closer scrutiny of those plans is part of the market discipline Tan welcomed.1
8
Studio Global AI
This page includes a source-backed answer you can continue inside Studio Global.
DBS CEO Tan Su Shan said AI financing is being repriced as investors demand clearer returns and scrutinize deal structures; she described the shift as healthy, not as proof that funding has stopped.
DBS CEO Tan Su Shan said AI financing is being repriced as investors demand clearer returns and scrutinize deal structures; she described the shift as healthy, not as proof that funding has stopped. DBS had originated about S$25 billion in AI deals in 2026, often arranging syndicated loans and distributing most of the exposure rather than holding it all.
Tan also warned companies against “AI lipstick”: adding AI without redesigning workflows around clear business outcomes.