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 is consuming trillions of tokens. This surge in demand is driving a shift towards usage-based pricing, with projections indicating a massive increase in token usage in the coming years.

All this artificial intelligence spending was showing no noticeable increase in productivity, Uber’s chief operating officer says.

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

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.