AI Regulation in Finance Accelerates: Regulators Set the Pace of the Industry

AI regulation in finance: the new speed limit

AI regulation in finance is becoming the decisive factor that will separate leading financial hubs from those that will be sidestepped. The Virtual Assets Regulatory Authority (VARA) chief explains that while most sectors merely adopt artificial intelligence, regulators are both reshaping their own processes and gatekeeping the technology’s diffusion into banking.

After a decade of advising banks on cyber risk, the author built VARA from the ground up and now sees that the delivery platform for supervision matters as much as the statutes themselves. Tier‑1 banks have poured billions into compliance tech; Thomson Reuters’ Cost of Compliance surveys show budgets climbing ↑ 12% year‑on‑year, yet productivity gains remain linear.

“The cost of a regulatory mistake far exceeds the cost of a slower rollout,” the VARA CEO notes.

Regulators such as the Monetary Authority of Singapore and the UK’s FCA have launched serious supervisory‑technology programmes, but many authorities still rely on PDF rulebooks and periodic onsite checks.

Virtual assets force a paradigm shift

Programmable, borderless tokens cannot be audited through quarterly samples. Real‑time, on‑chain monitoring is now mandatory, a fact that will soon extend to tokenised bonds, equities and real‑estate assets. McKinsey predicts ↑ $2 trillion in tokenised assets by 2030, while the BIS’s Project Agorá tests wholesale settlement on a live blockchain.

Two waves of AI‑driven regulatory change are on the horizon. In the next 12‑24 months, approval processes could shrink from weeks to days, and false‑positive alerts—currently between 90% and 95%—are expected to fall dramatically as models learn contextual transaction patterns.

Within three to five years, continuous data feeds will replace periodic submissions, rendering sample‑based inspections obsolete and shrinking compliance teams, especially junior analysts.

Regulators act as the rate‑limiter. If they cling to paper‑based returns, firms’ AI gains remain locked inside. Capital will flow to jurisdictions that embrace data‑driven supervision. The legal question of liability for AI‑generated SARs or fitness‑and‑propriety judgments remains unresolved, a hurdle that frameworks like Europe’s MiCA and the US CLARITY Act must clear.

Those regulators who view AI as a catalyst rather than a burden will shape the next decade of finance.

Analysis by Julian Reed (Consumer Electronics Expert).