Apple is reportedly lowering the amount its employees can spend on AI tools each day. The change starts with engineering teams, where daily limits have already been reduced, and could extend to other parts of the company.
Engineering teams face lower daily caps
Bloomberg reported Wednesday that Apple lowered its engineering teams’ daily AI spending cap in October, from $300 to $200. The report says additional reductions are being considered, with some allowances potentially falling to $100 per day.
Those figures describe spending limits, not necessarily how much each employee or team actually uses. Still, changing the cap sets a clearer boundary around AI costs inside the company, which has worked to integrate the technology into its engineering processes.
Apple is also reportedly weighing a daily limit for employees outside engineering, potentially as low as $25. The company had not publicly commented on the reported changes; TechCrunch said it had reached out to Apple for comment.
From encouraging use to rationing costs
The reported reductions come after a period when companies pushed employees to use AI tools as much as possible. TechCrunch described that earlier push as “tokenmaxxing,” a term for maximizing AI usage in pursuit of efficiency gains that were often loosely defined.
That approach did not last long in the account provided by the report. As the bills for AI tokens arrived, companies began considering limits as a more financially sensible way to manage usage. Apple’s reported changes fit that broader shift from promoting widespread adoption to watching the expense more closely.
A daily cap offers a direct way to constrain spending. It can also make trade-offs more visible: teams may need to decide which tasks merit AI use when their allowance is limited. The source does not say how Apple’s teams are making those decisions or whether the changes have affected their work.
The productivity question remains open
The underlying concern is whether the costs of building and running AI systems are matched by clear productivity gains. The source describes an apparent gap between those expenses and the benefits AI is supposed to deliver, which remain unclear.
That uncertainty makes spending limits consequential. If a company cannot readily show what additional AI use accomplishes, a budget cap gives it a way to keep costs in check while it evaluates the technology’s role in work. The reported limits alone do not establish whether Apple’s AI tools are effective or whether the company plans to reduce their use permanently.
For now, the reports point to a change in how Apple may manage internal AI usage: engineering budgets have already come down, more reductions are being considered, and a separate limit for employees outside engineering is under discussion. The wider question for companies is how to balance access to AI tools with evidence that their expense is producing useful results.