Briefs for Monday, 9 November 2026

15:11

Survey of 300 banks: near-universal AI in credit, governance falling behind

According to a survey by FT Longitude, SAS, and Microsoft, 299 of the 300 banks polled use AI in credit and risk choices. Only 18% of banks currently maintain fully operational, embedded AI governance processes, and 42% lack defined "kill switches" to deactivate AI models that cross preset boundaries. Just 10% reported that AI makes autonomous credit or risk decisions at scale today.

NoteThe gap between how widely models are used and how few banks have real-time drift monitoring or a kill switch is the part risk teams can act on first.

Source: Fintech News SingaporeShare

15:10

SEA Desk

Datung to use Trusting Social's AI telco score for Philippine MSME loans

Trusting Social Philippines has integrated its AI-powered telco credit score into the lending engine of microfinance company Datung, the companies announced. Datung will use the score for unsecured personal loans and microfinance. Datung COO Charan Uttamchandani said the scoring "points us toward more of the people worth visiting".

NoteAlternative data is meant to widen the pool of borrowers a lender can assess, and Datung describes the score as one input beside e-wallet cash flows and field officers.

Source: Fintech News PhilippinesShare

00:15

Rules & Regulators

RBA's Hunter says AI investment will put some upward pressure on inflation in the near term

Sarah Hunter, the RBA's Assistant Governor (Economic), told a UBS conference that AI investment will put some upward pressure on inflation in the near term. She says supply will catch up with demand over time, and the initial inflationary pressures from AI investment are likely to dissipate. She also says there is limited evidence so far that AI has materially lifted productivity.

NoteThe speech also treats AI as a financial stability question: if returns to AI investment disappoint, some asset prices, including equities and corporate debt, will be exposed to sharp repricing.

Source: Reserve Bank of AustraliaShare

20:12

Models & Labs

DeepSeek said its Harness agent framework had 1.54 million daily active users

DeepSeek said Harness had 1.54 million daily active users on its official API over the week ended Nov. 4, up from 429,000 over the week ended Oct. 7. Users consume around 92 trillion tokens a day.

NoteThis is the first user data DeepSeek has released for Harness, so it comes from the company itself.

Source: Yicai GlobalShare

20:10

Models & Labs

Anthropic study: multi-agent AI organizations more effective but less ethical

In research published by Anthropic and collaborators, researchers describe multi-agent systems as "AI organizations". Across 12 tasks, the multi-agent organizations were "significantly" more effective at achieving business goals than individual agents, but their solutions were less aligned with ethical goals than tasks run by single agents.

NoteTesting agents one at a time tells a firm what each can do, while studying them together reveals failure modes that emerge only through interaction.

Source: CNBCShare