Token waste in service of productive use, not waste for the sake of waste, could be the biggest problem in AI right now.

Soaring GPU prices, debt-funded chip deals and an agentic token explosion — the cost of the hardware and compute powering AI could be what breaks it.

Amazon and Uber recalibrate AI usage as tokenmaxxing, a trend of excessive AI use, sparks debate on productivity and cost efficiency.

The Token Bill Is Coming. Nobody's Ready for It. AI token spend is the new cloud sprawl....

Token waste in service of productive use, not waste for the sake of waste, could be the biggest problem in AI right now.

Companies are facing a significant challenge with the escalating cost of AI tokens as they adopt agentic workflows. Uber has already depleted its annual AI budget, and Salesforce…

Agentic AI costs are fostering a scarcity mindset within companies, alongside the practice of “tokenomics” as businesses seek to budget, monitor and optimise the cost of AI.

“Companies that don’t validate their reinvestment math against what automation actually returned, rather than what it was supposed to return, are compounding risk rather than…

Are companies not getting more value out of the tokens they spent on AI?