Apple is tightening how much employees can spend on external AI tools, reducing daily allowances for engineers who rely on services like ChatGPT, Claude, and Gemini.
The company cut engineering AI budgets from $300 to $200 per day in October, with further reductions under consideration. Some engineers could eventually see their limits fall to $100, while certain non-engineering teams may face daily caps as low as $25.
Employees who need additional spending capacity can request temporary increases through executive approval.
Apple Wants Employees to Use Cheaper AI Tools
Apple provides access to several commercial AI models, particularly for software development and other technical work.
Engineers receive larger allowances because AI-assisted coding can consume significant amounts of tokens, making intensive use of cloud-based models expensive.
However, the reductions may not deliver substantial savings right away. Some employees reportedly weren’t spending anywhere near the previous $300 daily limit, meaning the lower caps may have little effect on their existing workflows.
Apple is also encouraging teams to use less expensive AI models or on-device alternatives when possible.
Spending Cuts Raise Concerns Inside Apple
The tighter AI budgets come as Apple brings in outside productivity consultants to review operations in certain divisions.
Together, those developments have raised concerns among some employees about possible organizational changes.
There is no confirmed connection between the AI spending reductions and any potential workforce restructuring, but the timing has prompted questions internally.
John Ternus Is Pushing for a Leaner Apple
Since becoming CEO on September 1, John Ternus has emphasized simplifying Apple’s corporate structure and reducing unnecessary layers of management.
His broader objective is to help the company develop and release products more quickly while operating more efficiently.
The AI spending reductions fit that approach, placing tighter controls on tools that employees previously had more flexibility to use.
Whether these changes lead to broader cost-cutting measures or organizational restructuring remains unclear.
