In the first article on the agentic USD - “The blind spot in modern finance: why central banks need visibility into agentic dollar flows” - we discussed how agentic dollars and AI-driven payments could create dangerous visibility gaps for central banks. The next question is even more significant. What happens if stablecoins become the preferred currency of AI agents, multinational corporations and global commerce? The challenge then shifts from monitoring money flows to preserving monetary sovereignty itself. As programmable money gains traction, central banks may face their greatest test since Bretton Woods: competing with financial networks designed for machines rather than nations. For more than eighty years, central banks have occupied the commanding heights of monetary power. Since the collapse of the Bretton Woods system in 1971, governments have largely controlled the issuance of national currencies, influenced credit creation through banking systems and implemented monetary policy through interest rates. That model is now facing its most significant challenge since the emergence of modern central banking. The challenge is not Bitcoin but the rise of programmable digital dollars.

US $ remains dominate in global trade

Source:X

The digital expansion of dollar power

The US dollar already dominates global trade, reserves and international finance. According to SWIFT, the dollar remains the leading currency used in international payments. Stablecoins are extending that dominance into digital networks - issuers such as Circle Internet Group and Tether Holdings have effectively created privately issued digital representations of the dollar that can move globally without relying on traditional banking rails. According to CoinMetrics State of Stablecoins Research and the Block Stablecoin Dashboard, stablecoin transaction activity has expanded dramatically over recent years, with adoption increasingly extending beyond crypto trading into payments, remittances and treasury operations. The next phase may be even more significant; artificial intelligence agents are beginning to interact with financial systems directly. As autonomous software gains the ability to negotiate contracts, purchase services and allocate capital, it requires a native payment mechanism. Stablecoins are emerging as a leading candidate.

The monetary sovereignty question

If AI agents increasingly transact in digital dollars, what happens to national currencies? This question is becoming increasingly relevant for policymakers worldwide, and the concern is not simply currency substitution. It is the emergence of a parallel financial system whose operating logic may sit outside domestic monetary frameworks. The ECB has expressed concerns that foreign stablecoins could increase dependence on non-European payment infrastructure and reduce monetary autonomy. ECB Digital Euro Project Similar discussions are occurring across Asia, Latin America and the Middle East. Governments face a difficult reality. Businesses and consumers often adopt technologies based on efficiency rather than national policy objectives. If digital dollars become faster, cheaper and easier to integrate into software-driven commerce, adoption may occur because of economics rather than ideology.

The rise of programmable finance

The deeper shift is that money is becoming software. Traditional money was largely passive - programmable money can carry instructions, automate compliance, trigger payments and interact directly with smart contracts. This creates entirely new economic possibilities. Supply chains can settle automatically, insurance claims can execute without manual intervention, machine-to-machine commerce becomes possible and AI agents can manage treasury functions continuously. The result is a financial system increasingly designed for software rather than humans.

Geopolitical vulnerabilities

The lack of visibility also creates stark geopolitical vulnerabilities. Historically, the US has enjoyed what economist, Barry Eichengreen, famously termed an “exorbitant privilege ” leveraging the US dollar’s status as the global reserve currency to project asymmetric financial power and run structural deficits funded by global capital. Agentic USD represents the digital mutation of this privilege. By embedding the US dollar as the native, friction-free settlement layer for autonomous global AI agents, the US is poised to expand its economic hegemony deeper into foreign domestic economies. For non-US nations such as the UK, operating in the dark means they are susceptible to this digital exorbitant privilege. For non-US nations, operating in the dark means they are susceptible to financial leverage without understanding the mechanisms or extent of its application. This reinforces the trajectory toward economic vassalage, where national economic decisions are increasingly subordinated to external influences.

How central banks may respond

Central banks are unlikely to remain passive observers. Several potential responses are already emerging. First, regulators are developing frameworks for stablecoins. The UK, EU, Singapore and Hong Kong have all introduced or proposed rules aimed at integrating digital assets into regulated financial systems. Second, many jurisdictions are exploring tokenised forms of commercial bank money and wholesale settlement assets. Projects involving institutions such as JPMorgan Chase, Citigroup, Mastercard and Swift are testing how tokenised deposits, and programmable settlement infrastructure could operate within regulated environments such as the proposed Regulated Settlement Network Project in the USA or the Regulated Liability Network being worked on the UK. Third, central banks may eventually need digital currencies or tokenised settlement systems that are compatible with autonomous software and AI-driven commerce. The strategic challenge is clear - if AI agents naturally prefer programmable dollars, countries may need equally programmable domestic alternatives. To counter the erosion of visibility, central banks and government treasuries must surely develop and implement a new generation of strategic monitoring frameworks to track and trace digital money flows. These frameworks must move beyond traditional financial surveillance to embrace the unique characteristics of blockchain technology and decentralised finance.

On-chain analytics and blockchain forensics

The core of any strategic monitoring framework for agentic USD must be robust on-chain analytics capabilities. This involves:

• transaction graph analysis - mapping the flow of agentic USD in and out of its jurisdiction, identifying clusters of activity and understanding the relationships between different entities (e.g., distributed exchanges (DEXs), DeFi protocols, corporate digital wallets, individual users).
• entity resolution - whilst blockchain addresses are pseudonymous, advanced techniques can link addresses to real-world entities. This includes leveraging public data, exchange KYC information (where accessible) and heuristic analysis, to identify key players in the agentic USD ecosystem relevant to the domestic economy.
• pattern recognition - identifying unusual transaction patterns, large-value transfers or rapid shifts in holdings that could signal illicit activity, capital flight or significant changes in economic behaviour. AI and machine learning algorithms will be crucial for detecting these anomalies in vast datasets.
• smart contract analysis - understanding the logic and functionality of smart contracts that interact with agentic USD. This includes identifying automated payment flows, collateralisation mechanisms and other programmable financial activities.

Network mapping and ecosystem intelligence

Beyond raw transaction data, strategic monitoring requires a comprehensive understanding of the agentic USD ecosystem:

• infrastructure mapping - identifying the blockchain networks on which agentic USD operates (e.g., Ethereum, Solana, Tron), the bridges used for cross-chain transfers and the key infrastructure providers (e.g., node operators, wallet services).
• intermediary identification - pinpointing the regulated and unregulated intermediaries that facilitate agentic USD usage, such as centralised exchanges, decentralised exchanges (DEXs), lending platforms and payment gateways. Understanding their operational models and regulatory compliance is essential.
• AI agent activity monitoring - developing specialised tools to detect and analyse the activity of autonomous AI agents using agentic USD. This could involve identifying specific wallet patterns, transaction frequencies or interactions with smart contracts that are characteristic of AI-driven operations.

The real battle ahead

The future conflict may not be between stablecoins and central bank digital currencies. It may be between competing monetary operating systems. Who defines the standards? Who controls settlement infrastructure? Who governs identity, compliance and interoperability? Who determines the rules that autonomous economic agents follow? These questions increasingly matter more than the physical form of money itself. For decades, monetary power was linked to currency issuance. In the coming decade, monetary power may increasingly belong to those who control the networks, protocols and software through which money moves. The first currency war was fought through trade, reserves and capital markets. The next one may be fought through APIs, stablecoins, AI agents and programmable financial infrastructure. And unlike previous monetary transitions, it is already underway.

The unavoidable path to informed governance

The rise of agentic USD and the ensuing dollarisation represent a fundamental challenge to the traditional governance capabilities of central banks and government treasuries. The decentralisation and opacity inherent in blockchain-based financial systems threaten to blind national authorities, rendering traditional policy tools ineffective and paving the way for economic vassalage. Strategic monitoring - leveraging advanced on-chain analytics, network mapping and AI-driven insights - is the unavoidable path to informed governance in this new era. By meticulously tracking where, by whom and for what purposes agentic USD is being deployed, nations can reclaim a critical degree of visibility. This renewed insight is not a panacea but a foundational prerequisite for developing effective policy responses, mitigating financial risks, preserving fiscal autonomy and ultimately safeguarding national economic sovereignty.

Blockchain was the atomic bomb. Agentic USD, fused with AI, is the fusion bomb. It does not simply increase the destructive potential - it erases the very concept of economic locality. Capital arrives, reallocates and departs before policymakers can register the impact. The critical question for central banks is no longer whether they can control the supply of money but whether their traditional tools (especially interest rates) retain any meaningful traction when machines, not humans, are making the allocation decisions in real time.

In Article 3 of The agentic US dollar, we will look at how autonomous AI agents could become the next drivers of global dollarisation - favouring yield-bearing digital dollars for payments, trade and investment, and potentially weakening central bank control.

This article first appeared in Digital Bytes (23rd of June, 2026), a weekly newsletter by Jonny Fry of Team Blockchain.