Chainlink’s tokenisation valuation model

According to the linked report, Standard Chartered initiated coverage of LINK with a $200 target for the end of 2030. The thesis assumes onchain tokenised assets reach $4 trillion by the end of 2028 and that Chainlink’s fee generation scales by roughly 25 times. Those assumptions turn a token-price headline into an infrastructure argument.

The logic is understandable: tokenised assets need reliable information and ways to interact across systems, and Chainlink aims to provide services around those needs. A larger production market could create more demand for data, verification and interoperability. The leap from market growth to a specific token value is where the model must do its hardest work.

A research target is not a guaranteed destination. It is the output of assumptions about adoption, market share, pricing, costs and how network activity accrues value. When the inputs assume a multitrillion-dollar market and dramatic fee growth, readers should spend more time testing the route than admiring the endpoint.

Tokenisation can expand while value is divided among many participants. Issuers create the assets; blockchains process activity; custodians hold underlying or digital instruments; data providers supply external information; interoperability networks connect systems; and venues support trading. Each layer can compete for a portion of the economics.

That means the projected onchain asset total would describe an addressable environment, not Chainlink revenue. The relevant questions are how often those assets use Chainlink services, what is paid for each service and whether competing methods take part of the demand. Market size is the opening input, not the final calculation.

Pilot announcements are particularly easy to overread. A test can show technical compatibility without proving recurring volume or commercial pricing. The stronger evidence is a production deployment with disclosed activity that continues after the demonstration period. The model needs repeat use, not simply institutional interest.

The projected increase in fee generation is the bridge between adoption and valuation. To assess it, readers need a consistent measure of fees produced by real usage, the cost of supplying the service and the degree to which demand persists. A growing count of integrations is not equivalent to growing collectible revenue.

Different Chainlink services may have different economics. Data delivery, proof-of-reserve functions and cross-chain services can solve separate problems and face separate competitors. Lumping them into one adoption figure can obscure whether one line is becoming commercially important while another remains experimental.

Token value adds a further step. Even strong network revenue does not automatically translate into the assumed LINK outcome. The result depends on how service demand creates demand for the token, how incentives and costs operate, and what investors are willing to pay for the resulting activity. Every step should be evidenced rather than treated as automatic.