MAS Flags AML Gaps Across Singapore's Crypto Firms, Manila's IBPAP Cuts Its 2028 Outsourcing Targets on AI, and Fitch Says Malaysia's Data-Centre Capacity Will Overtake Singapore's

MAS Flags AML Control Gaps Across Singapore's Crypto Firms

On July 16, the Monetary Authority of Singapore published a supervisory information paper flagging weaknesses in how digital payment token (DPT) service providers implement anti-money-laundering controls, according to Fintech News Singapore. The findings span the compliance chain: some firms leaned too heavily on customer self-declarations when verifying the source of wealth for higher-risk clients rather than independently corroborating it; transaction-monitoring teams failed to investigate unusually large transfers or properly assess alerts generated by blockchain-analytics tools; firms lacked clear internal guidance for assessing and documenting the risk of a new token before listing it; and some providers did not fully screen originators and beneficiaries on token transfers as required under the crypto Travel Rule.

The paper supplements MAS Notice PSN02 and its accompanying guidelines — the existing AML/CFT framework for DPT providers — rather than introducing new rules. MAS said providers "generally understand their obligations but need to improve how some controls are implemented," a framing that shifts the burden from rule clarity to execution, and it directed that boards and senior management take direct ownership of reviewing the gaps and remediating them rather than leaving the fix to compliance teams alone.

Philippines' IT-BPM Industry Cuts Its 2028 Roadmap as AI Reshapes Outsourcing Demand

The IT & Business Process Association of the Philippines (IBPAP) has lowered its six-year growth targets for the country's outsourcing sector, president Jack Madrid said this week, according to The Manila Times. The industry's 2022 roadmap had targeted US$59 billion in annual revenue and 2.5 million full-time jobs by 2028; the "roadmap refresh" now points to a narrower US$43.3 billion to US$50.5 billion in revenue and 1.85 million to 2.14 million FTEs by the same year, with 2027 pegged at US$45.3 billion and 1.99 million jobs. For 2026 itself, IBPAP still expects growth — to US$42.3 billion in revenue and 1.96 million workers.

Madrid attributed the downgrade to "shifts in technology, buyer behavior and global competition, as countries adapt to new technology and businesses take longer to make decisions" — language that places AI adoption inside client operations, alongside slower enterprise decision cycles and rival outsourcing destinations, among the forces compressing the original targets. IBPAP is now pointing growth toward healthcare, banking and financial-services process work and AI-enabled analytics, engineering and digital services, rather than the traditional voice and back-office volume the 2022 roadmap was built on.

Fitch: Malaysia's Data-Centre Capacity Set to Overtake Singapore's This Year, Financing Now the Binding Constraint

Fitch Ratings does not see Malaysia's data-centre buildout facing near-term oversupply risk, Sajal Kishore, the agency's Asia-Pacific head of infrastructure and project finance, told The Edge Malaysia. Malaysia could reach roughly 2 gigawatts of operational and planned capacity by year-end — above Singapore's current 1.4 to 1.5 gigawatts — with Johor's proximity to Singapore, and its comparative abundance of land and power, positioning it to absorb cloud and AI-inference demand that Singapore's own land and power constraints won't allow it to host domestically.

Kishore's de-risking logic rests on repurposability: demand at Malaysian sites currently splits roughly 70% cloud and 30% AI, a ratio Fitch expects to invert over time, and a facility built for AI that can be repurposed for general cloud workloads is inherently less exposed if AI-specific demand cools. Fitch flagged financing, not power or land, as the emerging constraint: lenders are growing more cautious about AI-related contract-renewal risk, a shift that could push the sector toward capital-markets and structured-finance models resembling those already established for data-centre debt in the United States.

Eyes on the Day Ahead

Watch for MAS to follow its AML information paper with targeted inspections of the specific gaps named — wealth-source verification, large-transaction escalation and Travel Rule screening are the areas licensed Singapore exchanges should expect to be tested on first. In the Philippines, IBPAP's downgraded targets will likely draw reaction from BPO-reliant property and staffing names over the coming days. And Malaysia's AI Governance Bill public consultation, flagged in this week's weekly signal, remains open through July 31 — still the nearest hard deadline for anyone shaping the compliance regime that AI deployers and data-centre operators will eventually work under.