The days of tokenmaxxing are over. Earlier this year, the AI industry encouraged companies to make the most of their AI budgets, with some companies building employee leaderboards to encourage the use of AI within their companies. They are now realizing how easy it is to spend huge amounts of money on AI and get little return.
It seems we are now entering an era of token rationing.
The recent news has been full of talk about AI reduction, with 404 Media reporting that consulting firm Accenture is looking to stop employees from depleting their token holdings by using AI for basic tasks such as converting PDFs into presentation slides.
The cuts came not long after Accenture threatened employees with using AI or “risking losing promotions,” 404 writes.
The 404 report is based on leaked audio from a recent internal meeting attended by Justice Kwak, Accenture’s head of agent AI strategy.
“We are at a tipping point where AI is becoming critical to the cost structure,” Kwak says. “Spending has become very unpredictable, and leaders, especially at the CFO, COO, and CIO levels, are still questioning whether we are getting value from what we are spending in the context of AI.”
The cost of tokens calls into question the AI business model. This is evidenced by the so-called “AI divestment” that has hit some AI-dependent companies, especially memory chip makers, in recent days. The AI industry has reached a point where it is no longer just exciting and new. It has to prove its worth.
