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Apple Is Putting Employees On an AI Budget

According to Bloomberg, Apple is cutting employee AI spending limits to reduce costs, lowering some engineers from $300 to $200 per day and considering limits as low as $100, with some teams capped at $25. Employees are also being encouraged to use cheaper models or on-device AI. MacRumors reports: Engineers at Apple have the largest budgets because using AI for coding can consume a large number…

Apple is reducing employee access to artificial intelligence tools in an effort to control costs, according to Bloomberg. In October, the company limited some engineers to a daily AI budget of $200, down from $300. Further cuts may be on the horizon, with daily allowances potentially dropping to $100 for certain engineers. Some teams already have a $100 daily cap, while others could see their spending limited to as little as $25.

Apple is encouraging teams to utilize more affordable AI models or opt for on-device AI solutions. Employees needing a larger budget can request an increase from executives. Engineers typically enjoy the largest AI budgets due to the high token consumption required for coding assistance. Apple permits the use of various AI models, including Claude, ChatGPT, and Gemini.

However, some employees told Bloomberg that few were utilizing the full $300 daily allowance, suggesting the savings may be minimal. The company has also engaged external productivity consultants for some divisions to help offset the AI cost reductions. These budget cuts, coupled with reviews of employee performance, have raised concerns about potential restructuring at the tech giant.

Apple CEO John Ternus, who assumed his role on September 1, is reportedly aiming to streamline corporate structure and reduce bureaucracy to achieve greater efficiency with fewer employees.

Written by urgent.news from MacRumors's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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How to Organize and Improve Your AI Prompts Over Time

The basic approach to managing prompts is simple: don't leave them buried in chat history. Save one text file per type of task, and every time you use a prompt, write back whatever you had to fix.

  • Store prompts in separate text files per task type.
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  • Name files descriptively; organize into folders as prompt count grows.

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