NEAR is testing a new way to pay for artificial intelligence tools: instead of a credit card, users can now lock up NEAR tokens and receive monthly compute credits in return. The staking-based model, detailed in materials released by NEAR on July 31, gives holders access to 43 hosted AI models sourced from OpenAI, Anthropic, and Google without routing payment through traditional cloud billing rails.
How the Staking Mechanism Works
Under the new system, users lock NEAR tokens and receive monthly compute credits instead of paying through traditional cloud billing or credit-card rails. Crucially, the tokens themselves are not consumed in the process — users retain ownership of their stake while it generates the compute-access benefit, similar in spirit to other staking mechanisms where the principal remains intact even as it produces a yield-like return.
The Trade-Off: Locked Capital, Moving Prices
The model isn't free of downside for participants. Locked tokens cannot be freely used elsewhere while committed, and their market value can move in the meantime — meaning users are effectively taking on price exposure and an opportunity cost in exchange for AI access. If NEAR's price falls sharply during the lock period, the effective cost of the compute credits rises accordingly; if it rises, users could end up paying comparatively little for the same access.
Positioning NEAR Around AI Infrastructure
The move fits into NEAR's broader strategy of positioning its token and network around AI infrastructure rather than purely as a general-purpose smart contract platform. By bundling access to models from three of the biggest names in AI — OpenAI, Anthropic, and Google — under a single staking mechanism, NEAR is betting that demand for AI compute can become a recurring reason to hold and lock its native token, rather than relying solely on transaction fees or speculative trading activity to sustain demand.
What's Still Unclear
NEAR has not published specific credit-conversion rates or pricing tiers alongside the announcement, leaving open questions about exactly how many compute credits a given stake size will generate, and how that compares to paying directly for API access to the same models. Those details will likely determine whether the staking route proves more cost-effective for heavy users than conventional billing, or whether it functions primarily as a token-demand mechanism dressed up as a utility feature.
