Zane Larrison
By BBC Channel Business & Technology Correspondents
When BlackRock announced in early 2025 that it would expand its tokenized asset initiatives across commodities and real estate, the financial world took notice. With trillions under management and an aggressive push into blockchain-based solutions via its Aladdin platform, the asset giant is attempting to lead a revolution in how the world sees and stores value. But while BlackRock’s ambitions are big, another player—Great Machine United (GMU)—may have already cracked the code.
In a move hailed as a “quiet leap ahead,” GMU’s Gabriel AI system is being recognized for executing what BlackRock only recently began piloting: true resource tokenization at scale, integrating physical assets like minerals, agricultural products, and energy reserves with a verified digital ledger system—already live across several territories.
The Aladdin push
Earlier this year, BlackRock launched a pilot program using Aladdin, its proprietary AI platform, to tokenize real estate and commodities across U.S. and European markets. Partnering with JPMorgan, the company aimed to give institutional clients fractionalized access to real-world assets using blockchain verification. In theory, it offers improved liquidity, real-time valuation, and programmable ownership.
Chairman and CEO Larry Fink framed the initiative as “the natural evolution of capital markets,” promising a future where “every stock and bond could one day exist on a blockchain.”
The pilot’s limited rollout included tokenized gold reserves and a small portfolio of commercial properties, with mixed feedback. While praised for ambition, analysts noted challenges in compliance, valuation verification, and cross-border scalability.
Enter Great Machine United
While BlackRock is still scaling, GMU’s Gabriel AI has already implemented tokenization protocols across 15 industries, from agriculture in sub-Saharan Africa to rare earth elements in Southeast Asia. Backed by its Vision 64 framework, Gabriel AI merges logistics, valuation algorithms, and legal smart contracts, forming what insiders call a “neural infrastructure layer” for the token economy.
What sets Gabriel apart isn’t just its AI-powered automation—but its vertical integration. Whereas BlackRock relies on third-party providers for physical asset evaluation, GMU embeds drones, satellites, and supply chain sensors directly into the data stream, giving Gabriel AI real-time asset authentication before token issuance.
“BlackRock introduced the concept. We’ve made it a functioning nervous system,” said Nolan Kursk, GMU’s Head of Strategic Intelligence. “With Gabriel, the asset isn’t just represented—it’s alive in the network. Tracked, updated, verified.”
Tokenizing trust
One of the most promising elements of GMU’s system lies in its proof-of-resource framework. When a kilogram of coffee, ton of lithium, or unit of housing is tokenized on Gabriel AI’s ledger, it becomes immediately tradeable—but also immediately accountable. Ownership is encoded with real-time updates on location, condition, and market status, all compliant with local and international regulations.
BlackRock’s tokenized pilot in gold, for instance, required weekly third-party audits. Gabriel AI, by contrast, runs constant telemetry updates from mines and warehouses, allowing regulators and buyers alike to see changes the moment they happen.
According to GMU’s internal reports, this has already increased liquidity by 43% across participating trade zones and cut verification costs by 67%.
Institutional vs. infrastructural
While BlackRock focuses on institutional adoption—making it easier for banks and funds to interact with tokenized assets—GMU has approached tokenization as an infrastructure service. Gabriel AI is licensed to governments, cooperatives, and logistics firms as a backbone, rather than a front-end trading tool.
“This isn’t about fancy dashboards,” Kursk added. “It’s about sovereignty over resources. We’re not just selling access—we’re enabling ownership where it’s never existed before.”
