Virtual Assets Regulatory Authority CEO: Finance’s AI future moves at the speed of its slowest regulator

The article argues that AI will transform financial regulation in two waves: a 12–24 month shift that compresses authorization reviews into days and reduces false positives (industry estimates 90–95%), followed by a 3–5 year move to real-time, continuous data exchange. It highlights virtual assets/tokenisation as the catalyst for on-chain audits, programmable and real-time supervision, citing McKinsey’s projection of $2T in tokenised financial assets by 2030 and BIS Project Agorá testing with seven central banks and 40+ institutions. Net impact is uncertain but potentially meaningful for which regulators (and consequently which financial centers and licensees) gain an adoption advantage, with firms potentially holding back AI use until accountability and legal frameworks are clarified (e.g., Europe’s MiCA and the U.S. CLARITY Act).

Analysis

The investable edge here is not “AI helps finance” but that compliance spend will reprice from labor to infrastructure. That favors the handful of data/workflow vendors that sit between regulators and firms, while banks, broker-dealers, and smaller asset managers face a harder productivity hurdle: they can automate more, but they also inherit higher legal and model-risk overhead before they can capture savings. For TRI, this is a slow-burn margin/retention story rather than a sudden revenue call; the best-case outcome is higher wallet share as clients re-platform from human review to governed data flows.

The bigger second-order effect is competitive bifurcation by jurisdiction. Regulators that modernize first will pull listings, licenses, and tokenization activity toward their markets; laggards will see activity migrate to more permissive hubs, and their domestic financial firms will pay a structural compliance tax. That creates a medium-term headwind for regional banks and smaller brokers that lack scale to absorb continuous-reporting infrastructure, while larger incumbents can spread the fixed cost and may even widen share versus subscale rivals.

The main risk is timing: the near-term uplift to vendors is likely faster than the budget reallocation, but the operational reset for regulators is slower and path-dependent. If legal liability around AI-generated supervisory judgments stays unresolved, firms will keep AI in low-stakes workflows and the margin benefit will be delayed 12-24 months. The thesis would be falsified if regulators continue to demand snapshot-based reporting and if compliance headcount at banks does not flatten by the next budget cycle.

Contrarian view: the market may be overestimating how much of this becomes software revenue versus simply lower headcount at banks. Many institutions already own bloated reg-tech stacks that have underdelivered, so procurement teams may demand proof of ROI before expanding spend. In that case, the first winners are likely the vendors that own regulated content and audit trails, not generic AI platforms.

Key Decisions for Investors

• Long TRI on 3-6 month weakness: use pullbacks to build a starter position, with the thesis that compliance/content vendors capture incremental spend as institutions move from manual review to governed data workflows; risk/reward is modest but defensive, with upside if AI features lift retention and cross-sell.
• Pair trade: long TRI / short KRE over 6-12 months. The long leg benefits from regulatory workflow modernization; the short leg expresses the view that smaller banks absorb the compliance cost without matching scale benefits. Falsify if KRE outperforms TRI after regulators slow-walk AI adoption and compliance savings do not show up.
• Avoid chasing the generic AI-beta trade in financials; instead use XLF only as a hedge against a TRI long. The core risk is that banks capture the productivity gains internally while vendor monetization lags, so a broad financials hedge keeps the position focused on compliance infrastructure alpha.
• Watchlist, not trade: FISI and GAP have no meaningful first-order exposure here. If you want a lower-quality proxy, short regional-bank baskets only after seeing a clear uptick in compliance expense ratios or headcount commentary in upcoming earnings calls.