Token Doesn't Mean What You Think: The Word's Double Life in Crypto and AI

The word "token" is one of the most common sources of confusion where crypto and AI overlap, because it means two completely different things depending on context. Here's each meaning on its own.

A token in crypto

In crypto, a token is a digital asset issued on top of an existing blockchain (as opposed to a native coin like bitcoin or ether, which has its own blockchain). Tokens can represent almost anything: voting rights in a protocol, a stake in a project, access to a service, or simply a speculative asset. This is the kind of token we're talking about when we write about, say, how Jito is directing its platform's revenue toward buying back and burning the JTO token.

A token in artificial intelligence

In AI, a token is the basic unit of text a language model works with — part of a word, a whole word, or a punctuation mark. When you send a prompt to a model, the text gets broken down into tokens first, and the cost of calling the model is almost always billed in tokens — both for your input and the model's output.

Why the distinction matters

The confusion is especially easy to run into in crypto-AI news, where both meanings can show up in the same sentence: a project might "launch a token" (the crypto sense) to pay for the "tokens" its AI model consumes during inference (the AI sense). In practice, a simple rule helps: if it's about a blockchain, wallet, or exchange, it's a crypto token; if it's about a prompt, response length, or API cost, it's an AI token.

This material is for educational purposes only.