Tuesday, 29 September 2026Jakarta 18:40 WIBWire updated 18:40 WIB

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The Big OneDeals

Anthropic's IPO prospectus discloses billions in losses and an AI risk warning

$8B+Anthropic's 2025 operating loss

Anthropic's prospectus for its planned US listing shows a 2025 operating loss of more than $8 billion against revenue that grew twelvefold to nearly $4.6 billion, with the company targeting a valuation above $2 trillion. Reuters and the Financial Times reported that the filing is the first on the SEC's database to list existential risk to humanity as a disclosed risk factor.

NoteA company does not usually put existential risk in the same document as its revenue growth, so seeing Anthropic name it as a risk factor is as much a signal to the banks building on its models as it is to the investors pricing a valuation above $2 trillion.

Source: TechCrunch

The Morning Note 29 Sep

Bank controls were built for human speed, and AI is testing them

A voice-cloning fraud caseload in Milan, a warning about an agentic bank run and a burst of new guardrails all point to the gap between how fast AI acts and how fast banks can check it.

Read the note

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Latest

Today

Banking & Lending

Nasdaq opens a sandboxed AI agent environment inside its Calypso platform

Nasdaq built a governed operating environment inside its Calypso trading platform that lets banks run AI agents against trading, risk and collateral data with sandboxing and no external data retention. The first capability is a natural-language assistant for querying platform data and documents, and Nasdaq said nearly half of firms it surveyed pointed to manual work as a bottleneck in post-trade operations.

NoteBanks want agents working their trading desks but not with free rein over the system of record, so wrapping them in the exchange's own sandbox is a template other market infrastructure providers are likely to copy.

Source: Nasdaq

Payments & Fintech

Mastercard launches AI tool to flag which suppliers will take a card

Mastercard rolled out Advanced B2B Analytics, which scores corporate suppliers on how likely they are to accept card payments by analyzing accounts payable data and shows the results in dashboards for banks and their clients. Absa Group and Emirates NBD are among the first banks offering the tool to corporate customers.

NoteB2B card payments lag consumer ones because banks rarely know which suppliers will actually say yes to a card, so a scoring tool turns that guesswork into a sales lead list.

Source: Fintech News Singapore

SEA Desk

Philippine anti-money laundering body tells banks to prove AI actually works

The Anti-Money Laundering Council's executive director, Ronel Buenaventura, said banks using AI to fight financial crime must be able to explain and audit how the systems work, from the data used to how decisions are checked, and show the tools actually help detect or prevent crime rather than just speed up compliance work. He said boards must receive and act on risks the technology flags, and human review stays mandatory.

NoteThe AMLC is doing what US federal banking regulators have so far avoided: setting explicit explainability and audit requirements for AI-driven compliance tools, ahead of the broader agentic AI rollout Philippine banks are only starting.

Source: Philstar.com

Banking & Lending

Capital One says agentic AI lives or dies on data plumbing

Capital One vice president of enterprise AI Rashmi Shetty said the bank treats agentic AI as an end-to-end system, not a model choice, leaning on governed data pipelines, sandbox testing, observability of agent actions and human review for high-risk steps. The bank's Chat Concierge multi-agent tool has been in production for more than two years helping customers shop for cars.

NoteThe lesson from a bank that has run agents in production the longest: the hard part is not picking a model but building the data lineage and guardrails around it, which is the work still missing at banks racing to bolt agents onto legacy pipelines.

Source: Banking Dive

Models & Labs

Anthropic ships a cheaper Sonnet that nearly matches Opus

Anthropic released Claude Sonnet 5.5, which it says runs more than 30% faster and costs up to 30% less per task than Sonnet 5, at the same $2-per-million-input, $10-per-million-output pricing. On benchmarks such as GDPval-AA and OSWorld 2.1, Sonnet 5.5 scores within a few points of the larger Opus 5.5 model.

NoteBanks and fintechs running Claude at scale for coding, document work and agents get most of a flagship model's capability at mid-tier pricing, which lowers the cost floor for the agentic pilots already spreading across back-office and customer-service work.

Sources: TechCrunch, The Decoder

Rules & Regulators

State bank regulators publish their own AI examination playbook

The Conference of State Bank Supervisors released an AI Supervisory Framework on September 16 to help state examiners review AI use at state-chartered banks and state-licensed nonbank financial institutions, covering governance, AI inventories, generative AI, third-party risk and consumer protection. CSBS president Brandon Milhorn said AI "provides a powerful new tool for financial institutions to improve services, protect consumers, and increase operating efficiency."

NoteThe OCC, Federal Reserve and FDIC updated joint model-risk guidance in April but left generative and agentic AI out of scope, calling it too new to pin down. States just filled that gap themselves, so a state-chartered bank's AI exam can now be more specific than a federally chartered peer's.

Sources: CSBS, PYMNTS.com

Banking & Lending

Bank of America adds AI benchmarking to its CashPro treasury platform

Bank of America launched Payments Insights, an AI-powered addition to CashPro Data Intelligence that gives corporate and commercial clients peer benchmarking and visualizations on payment efficiency, cross-border flows and working-capital performance. The bank says CashPro handled 213 million payments in the first half of 2026, up 10% from a year earlier.

213Mpayments CashPro handled in H1 2026, up 10% year on year

NoteTreasury teams have had their own payment data for years; what they lacked was a peer benchmark to know if their process is actually slow. Folding that into an existing platform, rather than selling separate analytics, is how a large bank makes an AI feature feel like table stakes.

Source: Bank of America Newsroom

Banking & Lending

Milan prosecutors find a second AI voice-cloning fraud, this time at Banca Ifis

A Banca Ifis manager authorized about 24 million euros in transfers in May after a series of fraudulent emails and a cloned voice, the same method used against Fideuram's then chairman in February, according to Ansa. About 20 million euros were recovered after the money was traced through Spain, Singapore, Hong Kong and Bahrain and seized in Barcelona; prosecutors have opened a third, smaller case worth about 2 million euros.

€24Mtransferred after the AI-assisted fraud

NoteMilan's prosecutors are now treating AI-voice fraud against bank staff as a caseload, not an isolated incident. That argues for callback verification and a cooling-off period on any large wire authorized only by phone, message or email, at any bank, not just the ones already hit.

Sources: Ansa.it, beBankers

Payments & Fintech

Shopify opens checkout to browser-based AI shopping agents

Shopify extended its WebMCP standard with three new tools, get_checkout, update_checkout and complete_checkout, letting an AI agent read a cart, change details like address or delivery, and submit a purchase with the buyer's authorization instead of scraping the page. The rollout covers all eligible Shopify merchants, with Meta's Muse and Instinct AI named as early agent partners.

NoteThis gives agents a structured door into checkout instead of a screen to fake being a shopper on. It moves the agentic commerce question from whether agents can buy to who is liable when one gets the order wrong, the gap last week's bank consortium principles were trying to close.

Source: TechCrunch

Yesterday

SEA Desk

Singapore calls for a UN framework on AI safeguards

Foreign Minister Vivian Balakrishnan told the UN General Assembly on September 26 that Singapore wants countries to consider a UN framework convention on AI safeguards, with common methods for assessing AI risks, testing models and reporting serious incidents. He said human beings must remain in control and accountable, and that Singapore will share its own AI governance and testing tools with other countries, joining Finland and Norway in pushing for tighter global standards.

NoteSingapore, home to MAS and the region's financial hub, is trying to shape global AI rules rather than wait for them. If a UN framework moves forward, expect its risk-assessment and incident-reporting language to feed back into how MAS and other SEA regulators supervise agentic AI in finance.

Source: Fintech News Singapore

Rules & Regulators

FTC chair says companies can't blame AI agents for their own actions

FTC Chairman Andrew Ferguson told a Reuters event on September 25 that giving software the power to act does not make the software responsible when something goes wrong. He said regulators will look at the instructions, permissions and controls a company built into its AI agents rather than treating a bad outcome as the agent's fault, and that he prefers applying existing law before writing new AI-specific rules.

NoteThis lands the same message banks have been pre-empting on their own: whoever deploys the agent owns the outcome. It reinforces the case for the audit trails and permission logs banks and card networks are already building into agentic commerce.

Source: PYMNTS.com

Banking & Lending

HSBC rolls out AI tool to speed up trade finance document checks

HSBC launched Smart Checking, an AI tool that extracts and classifies data from trade finance documents to standardize how they are processed, traced and reviewed. The bank handles more than 1 million documentary presentations a year, some running hundreds of pages, and says the tool is already live in the UK, Hong Kong and the UAE with a global rollout planned.

NoteTrade finance is paperwork-heavy, and checking a single presentation can take hours, so shaving that time off speeds up when exporters get paid. It is a narrow back-office task, the kind of AI deployment likely to spread faster than customer-facing agents.

Source: PYMNTS.com

Deals

Goldman sees Big Tech AI spending topping Wall Street's own estimates

Goldman Sachs strategists led by Ryan Hammond forecast Amazon, Alphabet, Microsoft, Oracle and Meta will lift AI infrastructure spending 54% to $1.2 trillion in 2027, above the Street's $1.1 trillion consensus, after an estimated $800 billion this year. The bank says the outlay would be the largest technology investment cycle relative to GDP since 19th century railroad building, and that the five companies would need roughly $300 billion a year in AI revenue to break even on it.

$1.2TGoldman's 2027 hyperscaler AI capex forecast

NoteGoldman is both a forecaster and a lender into this buildout, so a number this far above consensus is a signal the debt and equity backing hyperscaler capex has room to grow further before anyone calls it overextended.

Source: PYMNTS.com

Top story: Banking & Lending

Threat researchers find a banking trojan whose phishing screens were written by AI

Group-IB says it uncovered RemControl, an Android trojan sold as malware-as-a-service that overlays fake screens on more than 30 banking apps across Italy, France, Spain, Poland, Portugal, Canada and Gulf states, streaming the victim's screen and logging keystrokes. Researchers found a verbatim AI assistant reply embedded in a live phishing page, evidence the operators, tracked as UNKK, used an AI coding assistant to build the panel and overlays by describing the project to it as a parental-control app.

NoteBanks' own fraud teams are racing to deploy AI defenses while the same tools are lowering the skill bar for the criminals building the attacks, so the AI arms race in fraud now runs on both sides of the ledger.

Source: Group-IB

Banking & Lending

NatWest trials a voice AI that talks customers through their spending

NatWest Group is trialling a generative audio-visual tool, built on its own small language model, that lets Royal Bank of Scotland customers ask about their spending in natural voice or text and get interactive graphs back. Cora, NatWest's digital assistant, also gained a Fraud Triage Agent that has handled about 19,000 conversations routing customers who report suspicious card transactions to the right team.

NoteA homegrown model instead of a bought-in chatbot signals banks want to own the AI layer that sits on top of customer transaction data, not rent it from a vendor who also serves their rivals.

Source: NatWest Group

SEA Desk

Singapore commits 80,000 finance workers to AI training by 2028

The Institute of Banking and Finance launched an AI Workforce Co-Lab with 23 banks, insurers and asset managers, including DBS, OCBC and UOB, that together employ about 40 percent of Singapore's financial sector workforce. They have committed to train more than 80,000 employees in AI skills through IBF-recognised programs by 2028, with more than half already trained. Deputy Prime Minister Gan Kim Yong, who chairs MAS, Singapore's central bank, announced the plan on September 24.

NoteSingapore is trying to retrain its banking workforce rather than let AI adoption outrun it, in roles like credit underwriting and fraud detection where agents already do part of the work. Whether training keeps pace with that adoption is the real test.

Sources: MAS, PressNewsAgency

Banking & Lending

Nvidia launches agent guardrails with JPMorgan and Citi on board

Nvidia introduced the Open Agent Safety Platform, pairing runtime software that sets boundaries for AI agents with a hardware watchdog on its BlueField-4 chips that can quarantine one in milliseconds. JPMorganChase and Citi are among more than 100 organizations working with Nvidia on the open-source project. The software is available on GitHub.

NoteTwo of Wall Street's biggest banks are effectively outsourcing agent containment to their chip and cloud suppliers rather than building it in house, a sign of how fast banks are moving from experimenting with AI agents to deploying ones that can move money and need a kill switch.

Source: GlobeNewswire (Nvidia)

Top story: Banking & Lending

AI voice cloning scam drains $108 million from Italy's Fideuram

Fraudsters combined a spoofed WhatsApp message impersonating Intesa Sanpaolo's chief executive with an AI-cloned voice of a law firm partner to convince Fideuram's then chairman to authorize transfers to accounts in China and Hong Kong in February. Italian, Chinese and Portuguese authorities have recovered more than half of the roughly $108 million, about 95 million euros, taken; about 39.5 million euros remains missing, some of it converted into cryptocurrency.

NoteThis is a case of voice cloning beating a bank's internal controls rather than a customer's. Expect wealth managers and private banks, where large wires can move on a senior executive's say so, to add callback verification and delay rules for any instruction that arrives only by phone or chat.

Sources: Gulf News, Ansa.it

Top story: Banking & Lending

Apollo economist warns AI agents could drain banks of cheap deposits

Torsten Slok, Apollo's chief economist, asked "Is an agentic bank run coming?" in a note arguing that AI assistants could soon sweep household cash automatically out of checking accounts paying around 0.1 percent into accounts yielding 3.3 to 5 percent. If every household did that, he said, banks could lose much of the cheap deposit funding they lend from.

NoteDigital bank runs so far have needed people to panic together. An agent chasing yield needs only the rate gap, so a gap between checking and savings rates that regulators have long tolerated starts to look like a standing risk to deposit funding.

Source: Apollo

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