… By targeting AI tokens, the Shanghai exchange’s derivative product would be tied to how AI companies price their services, giving businesses, investors, and data center operators a way to hedge against the cost of compute. …
… The tokens themselves may sweeten the deal further: As inference costs continue to fall, what OpenAI is giving away today could cost it very little to produce tomorrow — making the equity it receives in return look increasingly cheap. …
… But critics argue that “tokenmaxxing”—as this concept is known—is the wrong metric because it simply racks up AI expenses. “The people that automate their jobs with AI will always have a job,” Evans claimed in his post. …
… Consider the $113 million Series B raised for OpenRouter this week, reflecting the company’s ability to offer customers access to multiple models in order to optimize their token spend. …
… OpenRouter provides access to over 400 models, including Anthropic, Google, OpenAI, xAI, and DeepSeek, it says. It claims 8 million global users and 100 trillion tokens processed per month, or about 25 trillion per week. …
… Meanwhile, top dev teams are trying to outcompete one another by tokenmaxxing — a proxy for understanding who at the company is experimenting with AI more often, based on the number of AI tokens they use. …
… Jain claims that Glean’s context graph also helps enterprises cut AI computing costs. “If you connect your AI to Glean, it gives you all the information that you need to do your work, and that results in AI consuming far fewer tokens compared to if you unleash AI onto your systems directly,” Jain s… …
… Hachem said that she and her co-founder are token maximalists — people who would spend more tokens to get to a result even if it costs more — and would rather spin up a toolbar for a particular context than keep a static one. …
… Token throughput So again, tokens are the small chunks of text — often parts of words rather than whole ones — that AI language models break language into before processing it; they are roughly analogous to “words” for the purposes of understanding AI workloads. …
… Token throughput So again, tokens are the small chunks of text — often parts of words rather than whole ones — that AI language models break language into before processing it; they are roughly analogous to “words” for the purposes of understanding AI workloads. …
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