
The Virtual Assets Regulatory Authority CEO argues that AI's impact on finance over the next decade will be determined primarily by how fast regulators adopt new supervisory technology and resolve accountability questions around AI-generated decisions. Regulators who treat themselves as engines driving transformation—rather than passive recipients—will attract capital and talent; those that fall behind face the risk of being bypassed. Near-term wins include compressing authorization reviews and cutting false-positive alert rates; longer term, the shift from periodic reporting to real-time data flows will reshape compliance inside banks.
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The Virtual Assets Regulatory Authority CEO argues that regulators—not tech firms—will be the pace-setters for AI's impact on finance over the next decade. Regulators face a choice between treating AI as something happening to their industry or treating themselves as the engine driving transformation.
Why it matters
Financial firms can build advanced compliance infrastructure, but productivity gains stay trapped if regulators still demand PDF returns and manual supervisory cycles. Capital and talent follow the regulators that move fastest; jurisdictions that fall behind risk being bypassed entirely. The way regulators solve accountability questions around AI decision-making will determine which licensees keep pace.
What to watch
Two regulatory moments will shape the outcome: MiCA's full implementation across Europe and the United States' CLARITY Act framework. Near-term (12-to-24 months), AI will compress authorization reviews from weeks to days and cut false-positive compliance alerts (currently running between 90% and 95%). Medium-term (three-to-five years), the interface between regulators and licensees will shift from periodic submissions to continuous real-time data exchange.
The article frames a critical shift in how financial regulation will operate. Historically, banks have spent over a decade and billions of dollars on regulatory technology with mixed results—compliance budgets and headcount climb steadily while productivity gains remain linear at best. The gap between leading regulators (those running serious supervisory-technology programmes) and the majority (still operating on PDF rulebooks and sample-based inspections) is widening. Virtual assets are the catalyst for change, not because they are large in themselves, but because their structure forces regulators to build genuine innovation: on-chain audits instead of sampled reviews, real-time monitoring instead of after-the-fact reporting, programmable compliance instead of rule-engine workflows. This is not optional; it is the only way to supervise a 24/7 cross-border smart contract or autonomous lending protocol.
The transformation will unfold in two waves. The near-term wave (12-to-24 months) is already arriving and will compress routine processes—authorization reviews that take weeks today will compress into days, and AI will learn to read transactions in context rather than flag them by blanket rules, cutting compliance false-positive rates currently running between 90% and 95%. The medium-term wave (three-to-five years) will break the existing model entirely: the interface between regulators and licensees will move from periodic submissions to continuous real-time data exchange, which will collapse the operational case for sample-based inspection and shrink compliance functions inside global banks. The article identifies a bottleneck: a firm can build supervisory-grade compliance infrastructure, but if its regulator still demands PDF returns, the productivity gains stay trapped. Capital follows regulators that move. This dynamic will be reinforced by how regulators answer an urgent accountability question—who carries legal responsibility when AI generates a suspicious activity report or contributes to a fitness-and-propriety decision—with MiCA's full implementation across Europe and the United States' CLARITY Act framework serving as two critical moments where these answers will be given.
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