Economics-Watching: BIS Alerts for 18 August 2025

[from the Bank for International Settlements]

An Approach to Anti-Money Laundering Compliance for Cryptoassets

BIS Bulletin № 111 (13 August 2025)

by Iñaki Aldasoro, Jon Frost, Sang Hyuk Lim, Fernando Perez-Cruz & Hyun Song Shin

Key takeaways
  • Existing anti-money laundering (AML) approaches relying on trusted intermediaries have limited effectiveness with decentralized record-keeping in permissionless public blockchains.
  • The public transaction history on blockchains can enable AML and other compliance efforts, such as FX regulations, by leveraging the provenance and history of any particular unit or balance of a cryptoasset, including stablecoins.
  • An AML compliance score based on the likelihood that a particular cryptoasset unit or balance is linked with illicit activity may be referenced at points of contact with the banking system (“off-ramps”), preventing inflows of the proceeds of illicit activity and supporting a culture of “duty of care” among crypto market participants.

Read the full article [archived PDF]

Macroeconomic Impact of Tariffs and Policy Uncertainty

BIS Bulletin № 110 (12 August 2025)

by Emanuel Kohlscheen, Phurichai Rungcharoenkitkul, Dora Xia & Fabrizio Zampolli

Key takeaways
  • Tariffs affect economies most directly through trade volume and prices. Tariffs lower output growth everywhere, though the magnitude varies by country and scenario. They also tend to raise inflation, most notably in the imposing countries.
  • Tariffs have indirect effects, including exchange rate shifts, supply chain disruptions, trade diversion and heightened uncertainty. These could worsen growth and inflation effects as well as the policy trade-offs central banks face.
  • If it proves persistent, trade policy uncertainty could depress domestic demand and put global growth at risk.

Read the full article [archived PDF]

World-Watching: Old Problem, Modern Solution: Emerging Technologies for Anti-Corruption

[from Asia-Pacific Economic Cooperation, 29 July, 2025]

by Emmanuel A. San Andres and Glacer Nino A. Vasquez

Harnessing new tools to strengthen transparency and accountability can help APEC economies combat corruption and build public trust.

The Code of Hammurabi is one of humanity’s oldest surviving legal texts. Etched in basalt nearly four millennia ago, one of the many crimes it proscribes is corruption by a judge, for which the punishment is a hefty fine—“twelve times the fine set by him in the case”—plus removal and perpetual disqualification from office. Today, laws are published online rather than on stone tablets, but corruption remains a scourge across societies.

Thousands of years later, the fight against corruption continues. Corruption scandals continue to make headlines across the region, affecting both public and private institutions. Whether involving procurement fraud or illicit finance flows, these cases underscore how quickly trust can erode when institutions fail to adapt. The need for preventive systems, powered by data, backed by law and enabled by technology, has never been more urgent. Across APEC, the principles of transparency, accountability and integrity remain central to strong public institutions. As economies become more interconnected and more data-driven, emerging technologies are offering new ways to advance these goals.

APEC economies have long relied on oversight mechanisms such as audits, procurement rules, and internal checks to prevent, detect and prosecute corruption. These tools have been effective in fighting corruption, and they remain essential. But at the same time, new technology has also opened new pathways for corruption: The discreet meeting at a coffeeshop may now occur over an encrypted messaging app, and the cash-filled envelope replaced by a cryptocurrency transfer.

As corrupt actors grow more technologically sophisticated, so too must anti-corruption efforts. APEC economies are not new to digital solutions—e-government and e-procurement portals have reduced opportunities for hidden transactions. Beneficial ownership registries and asset tracking systems make it easier to prosecute and penalise incidents of corruption when they do occur. But emerging technologies offer even more powerful tools to prevent, detect and deter corruption.

For example, artificial intelligence and machine learning (AI/ML) enable real-time monitoring, risk scoring, pattern detection, and predictive analytics. These tools can support monitoring and investigation by automating document review and evidence gathering. AI/ML can also enhance institutional capacity through adaptive, personalized training systems.  Meanwhile, advanced data analytics can support the review of large volumes of data, revealing patterns of corrupt activity and informing decision-making. When data from different sources are connected, it becomes easier to understand corruption risks early and act with greater precision.

Blockchain—the technology that enables cryptocurrencies—can be used to create immutable, transparent ledgers for government transactions, supply chain monitoring and secure identity management, making it harder to conceal corrupt activity. Remote sensing and facial recognition technologies also offer potential in compliance monitoring and anomaly detection.

However, implementing these emerging technologies have their share of challenges and risks. The effectiveness of AI/ML systems is only as good as the quality, integrity and objectivity of the data they are fed; biased inputs can produce biased outcomes. Blockchain technology is very energy-intensive, which may hinder its scalability and availability. Facial recognition raises serious concerns over privacy and due process, enabling widespread surveillance without individual consent.

These trends mirror growing international momentum around the digitalization of integrity systems. International organizations are helping lead the way: the OECD is leveraging AI and big data to detect corruption risks and improve compliance, while the World Bank’s Governance Risk Assessment System [archived PDF] uses analytics to uncover fraud in public procurement, with pilots already underway in Brazil. As stewards of major anti-corruption conventions, these institutions are turning innovation into accountability. For APEC economies, this alignment offers a timely opportunity to shape global standards while advancing domestic reform.

It is also important to recognize the central role of human and institutional elements in anti-corruption efforts. Emerging technologies are not a silver bullet; they will only be effective if they are well integrated into government processes and are aligned with the skills of the people who need to use them. Training and capacity building will be essential to bridge capability gaps, while a committed leadership will be needed to implement the legal reforms and oversight structures needed to ensure effective adoption.

Buy-in from anti-corruption stakeholders across government, the private sector and civil society is also crucial to this pursuit. Technologies like AI/ML and advanced analytics require large volumes of reliable data, requiring cooperation and information sharing. Public understanding and trust, ethical use of data and equitable access to technology are all essential to ensuring long-term success.

APEC economies are at different stages of readiness to adopt these emerging technologies. While some economies have yet to develop adequate digital infrastructure, human capital and institutional structures, others are already in a position to expand or integrate more advanced anti-corruption tools into their day-to-day processes. Capacity building, information sharing and dialogue can help narrow this gap while learning from the experiences of those ahead.

This is where regional cooperation can make a difference APEC provides a platform for knowledge sharing, capacity building and policy cooperation. The Anti-Corruption and Transparency Experts Working Group could provide a venue for a collaborative strategy to mainstream emerging technology in anti-corruption work, while building technical capacity for economies that need it. Likewise, the upcoming APEC High-Level Dialogue on Anti-Corruption Cooperation provides an opportunity to reaffirm values and shared commitments in the fight against corruption.

Corruption has existed since the dawn of civilization. As methods to commit corruption have evolved, so must the tools to combat it. People and institutions will always remain at the heart of anti-corruption efforts, but with the right governance and safeguards, emerging technologies can be game-changers in fighting corruption and recovering its proceeds, whether it’s in Babylonian sheqels or in bitcoins.

Emmanuel A. San Andres is a senior analyst, Glacer Niño A. Vasquez is a researcher at the APEC Policy Support Unit. For more on this topic, read the latest issue paper “Technologies for Preventing, Detecting, and Combatting Corruption [archived PDF].

Economics-Watching: From Code to Cash: How Programmable Payments Are Shaping the Future of Finance

[from the Federal Reserve Bank of Atlanta, by Chris Colson, payments expert]

When I was first introduced to computers, programming languages like COBOL, Fortran, and Pascal were standard. None of them were particularly user-friendly, especially for someone like me who isn’t a natural coder. Over time, new languages and tools appeared, making programming more accessible.

Today, we have low-code and no-code platforms [related YouTube video] that allow people with little to no coding experience to build apps. Just as programming has become easier, payments are becoming programmable, offering automation, simplicity, and flexibility.

Programmable payments are automated transactions that occur when specific conditions or events are met. Unlike traditional payment methods, which can rely on manual approvals or fixed schedules (think monthly software transactions), programmable payments offer a more dynamic approach. For instance, a programmable payment might only occur when a product is delivered or a service is completed.

Two key technologies power programmable payments: smart contracts and application programming interfaces (APIs). Smart contracts are self-executing digital agreements that run on blockchain and automatically release payments once specified conditions are met. APIs allow different systems to communicate, which enables the automation of payment processes across platforms. For example, a business might set up an API process that triggers a payment and then marks the invoice as “paid” in its accounting software.

The biggest advantage of programmable payments is automation. By automating transactions, businesses can eliminate repetitive tasks like payroll or vendor payments, reducing the time spent on manual processes while also minimizing the risk of human error. Automation can also help businesses save money, as they may no longer need intermediaries like banks or payment processors to facilitate transactions. Blockchain-based smart contracts can bypass the need for banks to verify payments, resulting in faster, cheaper transactions.

Transparency and security are other significant advantages, particularly when programmable payments are powered by blockchain. Each transaction is recorded on a decentralized ledger, providing a clear, auditable trail of activity. This can help reduce the risk of fraud and create a more secure system for managing payments.

The potential of programmable payments goes beyond automating individual transactions. For supply chain management, payments that are automatically triggered upon delivery of goods can reduce the need for manual verification, and thus improve operational efficiency. In decentralized finance, programmable payments can streamline processes like loan repayments and insurance payouts, improving speed and transparency.

As the Internet of Things expands, integrating programmable payments could allow devices to handle payments autonomously. Imagine a car that automatically pays for tolls or parking, or a smart refrigerator that orders and pays for groceries when supplies run low. The possibilities for real-time, automated payments between connected devices are enormous.

Despite all the potential, programmable payments face challenges. The technology—particularly blockchain-based systems—can be complex and requires specialized expertise, which can increase upfront costs for businesses. In addition, the regulatory environment around programmable payments is still evolving, especially for cross-border transactions. This creates uncertainty for businesses.

Much like low-code and no-code platforms make app development accessible to non-coders, programmable payments are moving toward a future with minimal human intervention. Both are about simplifying complex systems: low-code/no-code platforms hide the complexity of software development, while programmable payments automate financial processes with predefined logic.

Both point to a future where systems execute tasks on their own, based on rules set by users. The goal is simple: Once the conditions are established, the system handles the rest.

Programmable payments are reshaping the future of finance. It’s an exciting future that promises smarter and more streamlined and efficient financial operations.