
The tech giant is lowering the daily spending limit on artificial intelligence for its engineers, while other companies are also rationing their use of AI.
Apple is reducing its engineers' daily AI spending cap from $300 to $200, and is considering a drop to $100, while Meta, Microsoft, Uber and Tesla are also rationing their use of artificial intelligence in the face of rising costs.
AI-generated summary
Several technology companies are reducing their budgets and their use of artificial intelligence due to the rising costs of GPU chips and the energy consumption of recent models.
Our era seemed to promise the massive replacement of employees by artificial intelligence. While this time may come, some companies now find themselves forced to ration AI. To control its costs, the tech giant Apple has reduced the amount its employees can devote to artificial intelligence. Engineers at the world's most valuable company will see their daily AI spending limit drop from $300 to $200, while a further reduction to $100 is already being considered. For non-engineering employees, it could drop to $25 a day, compared to $100 currently.
The AI bill is directly linked to the consumption of tokens, the unit that measures the use of the technology. Apple therefore intends to reduce the volume, in contrast to “tokenmaxxing”, very popular at the start of the year, which encouraged employees to use AI as much as possible to find productivity gains.
Meta, Microsoft, Uber, Tesla…
But AI now costs too much to support this frenetic practice, between the soaring prices of GPU chips, essential to its operation, and the ever-increasing energy consumption of the latest generation models. Apple is not the first company to ration it internally. Thus, the consulting firm Accenture has capped certain expenses of its employees at 29 euros per month, while Uber and Tesla have reduced their budget, and Microsoft and Meta have reduced their use of Claude, a model designed by Anthropic. Others, like the British neobank Revolut, the United Kingdom's first start-up, have even moved from the latest generation models to less expensive Chinese models.

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