Blockmaze: AI and tokenisation will power the foundational layers of future finance
Artificial intelligence will drive financial decisions while tokenisation provides the programmable infrastructure for autonomous, compliant markets, says Tajinder Virk of Finvasia Group and Blockmaze
07 July, 2026
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The financial industry has fixed its attention on artificial intelligence, yet AI alone cannot reshape global markets. Machine intelligence is advancing quickly, but the infrastructure beneath it was built for an earlier era. The future of finance will instead rest on two foundational layers, with AI serving as the intelligence layer and tokenisation serving as the infrastructure layer.
AI is already creating a new class of market participant. Autonomous agents now research opportunities, allocate capital, rebalance portfolios and execute trades with limited human involvement. The scale of that shift is already measurable. Wolters Kluwer reports that 44 per cent of finance teams will use agentic AI in 2026, an increase of more than 600 per cent on the previous year, while McKinsey records 50 of the world’s largest banks announcing more than 160 agentic AI use cases in 2025 alone.
“The next generation of investors may not always be human. Increasingly, they will be AI-powered systems acting on behalf of individuals, institutions, and businesses. Such systems hold an advantage in speed and scale, acting far faster than any human trading desk. Markets that serve them continuously, across borders and without manual intervention will capture that activity first,” said Tajinder Virk, co-founder and CEO of Finvasia Group and Blockmaze.
Yet that intelligence is being asked to operate on infrastructure that was never designed for it. Legacy markets depend on fragmented intermediaries, manual reconciliation, limited trading windows and jurisdictional barriers. Each handoff adds cost, delay and risk of error, frictions a machine operating at scale cannot absorb. AI can make intelligent decisions in milliseconds, yet it cannot operate efficiently on plumbing assembled decades ago.
Tokenisation closes that gap, as tokenised stocks and real-world assets create programmable, machine-readable ownership that AI systems can verify, settle and transfer instantly. Settlement that once took days can complete in seconds, and compliance rules can be written directly into the asset itself. Ownership becomes something software can read and act upon directly, rather than a record locked inside incompatible systems. AI supplies the intelligence, tokenisation supplies the infrastructure that allows autonomous markets to function securely and compliantly.
The rise of AI investing strengthens the case for tokenised equities. Investors are allocating more capital towards AI companies and AI-powered sectors, and tokenised stocks make those opportunities more globally accessible through fractional ownership, seamless cross-border investing and continuous digital infrastructure.
Forecasts for that transition are substantial. Boston Consulting Group estimates tokenised assets could reach around $16tn by 2030, close to 10 per cent of global GDP, while a more recent projection produced with Ripple points to almost $19tn by 2033. Each trend reinforces the other. Growth in AI investing increases demand for assets that machines can hold and move, while tokenised equities give AI systems the rails they need to act.
Trust will determine which infrastructure prevails. Autonomous agents cannot be allowed to transact on rails that lack verifiable ownership, regulatory recognition and built-in compliance. Regulators will not permit autonomous systems to move capital through markets that cannot prove who owns what, and institutions will not commit volume to rails that sit outside established legal frameworks. Compliance, rather than slowing this transition, is its precondition. The convergence of AI, tokenisation and regulated digital markets therefore depends on a foundation that institutions and regulators can rely on.
“Artificial intelligence is transforming how investment decisions get made, but intelligence on its own has nowhere to act without trusted infrastructure beneath it. Tokenisation provides that foundation, recording, transferring and governing ownership in a form machines can verify and act on directly. The firms that lead the next decade will treat AI and tokenisation not as competing trends but as two layers of a single system, intelligence on top and infrastructure underneath,” added Virk.
Blockmaze positions itself at exactly this convergence, as a compliance-first infrastructure layer for the next generation of finance. The company is building regulated, tokenised rails where AI, tokenisation and digital markets meet, allowing autonomous and human investors alike to own and exchange assets with confidence. Blockmaze’s regulatory alignment gives banks, asset managers and digital-native investors a single venue they can trust. The future, on this view, belongs not simply to AI, but to AI operating on trusted, tokenised financial infrastructure.





















