Payments, Finance and Artificial Intelligence are beginning to converge around a common idea: turning information, money and assets into tokens that digital systems can move and use. In a recent analysis, Crédit Agricole expert Romain Liquard describes tokenization as entering an industrial phase, extending well beyond its early association with cryptocurrency and decentralized finance. The shift is visible in the growth of tokenized Treasury bills, new payment networks and efforts to make computing resources easier to price and trade.
For newcomers, one distinction matters: the word “token” can describe very different things. A blockchain token may represent ownership of a financial asset, while an AI token is a unit of text processed by a model; a payment token, such as a stablecoin, serves another purpose again. Their technologies are not interchangeable, but the systems around them are increasingly connecting. That convergence could reshape how a business pays a supplier, how an investor accesses markets and how an AI agent purchases a digital service—bringing the Future of Money into practical, everyday use.
In brief: Tokenized real-world assets are growing, payment companies are combining traditional accounts with stablecoins, and AI computing is attracting new financial products. The key development is not that every token does the same job, but that shared infrastructure is starting to let them interact.
Tokenization is moving from crypto markets into mainstream finance
Tokenization uses a digital token to represent an asset or claim, with ownership and transfers recorded on a Blockchain or another digital ledger. That can make certain transactions easier to automate and assets easier to divide into smaller units, although the token’s legal rights still depend on the structure behind it. For investors who first encountered blockchain through Cryptocurrency, the important change is its growing use by established financial institutions.
Liquard’s analysis points to a real-world asset market valued at nearly $40 billion, with growth of more than 2,200% over two years, based on RWA.xyz figures cited in the report. U.S. Treasury products account for around $14.7 billion of that total, illustrating why familiar financial instruments have become an early use case. Readers looking at how these systems intersect with conventional markets can explore the broader shift toward tokenization in traditional finance.
Imagine Maya, who runs a small import business. If a regulated tokenized asset or payment rail gives her faster access to funds, the benefit is not the novelty of owning a token; it is the possibility of reducing friction in a real transaction. Yet transparency, custody, investor protections and the enforceability of ownership remain essential. Tokenization can modernize the wrapper around an asset, but it cannot remove the need for sound rules and reliable institutions.
Why tokenized assets are attracting financial institutions
Traditional markets rely on intermediaries and processes that can take time to reconcile. Digital ledgers may coordinate records and transfers more directly, while smart contracts can automate parts of an agreed transaction. That prospect is drawing banks, asset managers and regulators into conversations once dominated by crypto-native firms; developments in Europe are also prompting debate about how French regulators and the Banque de France approach tokenization.
For a beginner, the practical test is straightforward: what does the token represent, who recognizes the claim, and how can it be redeemed or transferred? A tokenized share, bond or fund is not automatically equivalent to holding the underlying asset in every legal or operational sense. Clear rights and dependable settlement matter more than the technology label.
Payments and stablecoins are connecting money to digital services
Payment networks are also adapting as customers and businesses expect money to move across banking systems and digital platforms. According to the report, Mastercard acquired stablecoin infrastructure firm BVNK for $1.8 billion in August and subsequently introduced its modular Global Money Platform, designed to bring bank accounts, stablecoins and payments together through a shared interface. The strategic direction is significant: payment providers increasingly want to connect different forms of money rather than operate only within one channel.
Stablecoins are digital tokens designed to maintain a relatively stable value, commonly by referencing a currency such as the U.S. dollar. They can support transfers on blockchain networks, but their reliability depends on reserves, redemption arrangements, regulation and operational safeguards. For Maya’s business, the promise would be a more direct way to pay an overseas supplier; the deciding factor would still be whether the recipient can safely receive and use the funds.
The report also describes a July milestone for the European Central Bank’s Pontes infrastructure for tokenized assets and initial client transactions in tokenized sterling involving banks including Barclays, HSBC, Lloyds, Monzo and NatWest. These efforts show that Financial Innovation is not limited to public crypto networks. Institutions are testing how digital settlement can fit within regulated financial systems, an issue also explored in coverage of European markets moving on-chain.
The payment opportunity lies in interoperability: making different accounts, currencies and ledgers work together without asking users to understand every technical layer beneath them.
From AI tokens to machine-to-machine payments
Artificial Intelligence introduces another meaning of “token.” Generative AI models break text into units called tokens so they can process prompts and produce responses. These units are not financial assets by default, but they can become part of a market when companies charge for model access, computing capacity or data services.
Liquard’s analysis says Stripe acquired OpenRouter for $8 billion, describing the company as a gateway to a broad range of AI models. OpenRouter reportedly handles more than 19 trillion tokens each day across over 500 models. Those figures illustrate the scale of demand described in the report, while the acquisition points to payment companies’ interest in the infrastructure that lets developers access AI services.
Protocols such as Anthropic’s MCP, Google’s Agent Payments Protocol and Coinbase’s x402 are examples of tools intended to help software systems communicate or initiate transactions. In a possible workflow, an AI agent could request a service, select a provider and trigger a payment in stablecoins or tokenized deposits, subject to rules set by its user. For Maya, that might mean an automated system booking a shipment-related service and paying for it within an approved budget.
That scenario also raises questions about authorization, fraud prevention and accountability. An automated purchase should be traceable, limited by clear permissions and reversible where appropriate; speed alone is not a measure of safety. As AI agents gain the ability to act, payment controls must be designed as carefully as the software itself.
AI computing is becoming a potential financial market
The infrastructure behind AI is now attracting financial experimentation of its own. The Shanghai Futures Exchange was reportedly studying in May the possibility of futures linked to AI tokens, while CME Group announced in August a plan for futures based on rental prices for two Nvidia processors. The proposed CME contracts were still awaiting CFTC approval at the time described in the source, so they should be understood as plans rather than established products.
These ideas reflect a broader question: if computing power is scarce and its price fluctuates, can it be measured and traded like other resources? A futures market could help some participants manage price exposure, but it would also introduce familiar concerns about liquidity, valuation and risk. The connection between AI infrastructure and finance is therefore an emerging experiment, not a guarantee of easy or safe investment.
For newcomers, it helps to separate the layers. AI language tokens measure model inputs and outputs; compute markets concern access to processing capacity; blockchain tokens can represent financial claims or facilitate settlement. Their convergence may create new services, but it does not erase the differences between them.
What the tokenized economy could mean for users
The emerging picture is an economy where financial assets, payments and digital services can interact through programmable infrastructure. That may reduce delays and enable new business models, but it can also concentrate influence among the firms that control wallets, payment rails, AI gateways and settlement networks. Digital Transformation is not simply a technical upgrade: it changes who can connect to markets and who sets the terms of access.
Before using a tokenized product, a beginner should ask what the token represents, which organization is responsible for it, what fees or restrictions apply, and what happens if a platform fails. These basic questions are as relevant to tokenized funds as they are to stablecoins or AI-linked products. The world may be becoming more tokenized, but informed participation still begins with understanding the rights and risks behind each token.
