AI and the Future of Wealth: Access, Trust and the Limits of Regulation

The closing panel of a 2026 technology innovation forum brought together three executives from wealth management, digital assets and cybersecurity to examine how AI is changing who gets to invest, the way they invest, and which institutions they trust.

The session, titled "The Future of Wealth: How AI is Democratizing Investing," featured Ramesh Murthy, senior executive officer at CUSP Wealth; Viktor Uzunov, co-founder and CEO of UEB3; and Naeem Hussain, founder and CEO of LockThreat.

The Future of Wealth: How AI is Democratizing Investing,

Two exits from traditional finance

Uzunov spent close to a decade on the global markets floor at Jefferies in London. Around 2020 he concluded that finance was moving toward something that at the time had no label beyond crypto, and he read it as the future of the wider financial system, not merely of investing. That conviction led him to UEB3, whose assets have grown from $70 million to $150 million. He expects AI to accelerate a broad migration toward on-chain finance, with technology embedded across investments, payments and the sector at large.

Murthy arrived at a different conclusion after more than 30 years spanning corporate and investment banking, institutional banking and personal finance. Traditional wealth management, he said, was never built to serve everyone: the best tools, advice and research went to the wealthy, leaving first-time investors and wealth builders without the same opportunities. CUSP Wealth, in his description, is not a cheaper edition of an existing model but a different kind of platform, one that delivers institutional-grade advisory to anyone holding a smartphone.

Trust gets a new definition

Hussain said the meaning of trust has moved. Where investors once asked only whether an institution could safeguard their money, they now also weigh the AI models behind it, the security built into those models and the governance surrounding them. Fintech has already delivered access, he said; the task now is ensuring AI systems are governed so that consequential failures do not happen. That discipline, he predicted, will turn into a competitive advantage.

Smaller firms, wider reach

Uzunov framed on-chain finance as the access layer and AI as the productivity edge that makes complicated markets easier to grasp. Data that once belonged to men in suits in corporate boardrooms is now available to any small firm; his own boutique, he said, holds an edge that would have been out of reach ten years ago, or even two. AI hands smaller operators research and analytics capacity that used to sit inside large institutions. Even so, he cautioned that AI is a productivity tool rather than a cure for everything, and that human accountability matters more, not less.

Murthy linked broader access to regulation, transparency and products shaped around what investors actually need. He pointed to a young first-time investor building wealth while staying guided by her faith, and said entry thresholds at CUSP Wealth start as low as $50 — not the $5,000 to $50,000 the market has known — with no hidden fees.

Judgment as the scarce input

Hussain argued that as AI becomes abundant, judgment becomes scarce. Speed can be exponential, he said, yet human judgment and expertise remain critical.

Regulation drew the sharpest disagreement. Uzunov questioned how much protection rules genuinely provide, citing the collapse of major institutions during the 2008 financial crisis, and said neither investors nor technologists will alter course because of regulation. His own approach is to stay transparent with investors and avoid sugar-coating. Hussain pushed back: rules cannot enforce themselves and rest on the credibility and integrity of the people running institutions. Murthy sided with the rulebook, saying rules exist for a purpose.

What comes next

UEB3 is moving heavily into real-world assets and tokenization, from watches and collectible handbags to property, which Uzunov expects to widen retail access further; AI-fed information, he added, is making investors better educated. LockThreat is building what Hussain calls "GRC 3.0" — governance, risk and compliance that is continuous, automated, integrated and intelligent — a response to agentic AI that shifts from producing intelligence to executing decisions. That adoption, he warned, carries risks that have to be managed.

Murthy closed with advice for founders: design for a real person, find the customer before the product, and pair technical and financial skill with local knowledge of customer needs. Both belong in the room.