Apple has cut the daily AI spending allowance for some of its engineers from $300 to $200, Bloomberg News reported on November 4, 2026, as new chief executive John Ternus pushes a broader cost-control effort across the iPhone maker.
The cuts, which took effect in October, apply to the budgets Apple gives employees for AI “tokens,” the metered units of data that models such as OpenAI’s ChatGPT, Anthropic’s Claude and Google’s Gemini charge for when they process requests, Bloomberg reported via Reuters.
What Was Reported?
According to people familiar with the matter cited by Bloomberg, the new daily AI budget tiers are:
- Some engineers saw their daily cap lowered to $200 from $300 in October.
- Further reductions for some engineering teams are under consideration, potentially down to $100 a day.
- Non-engineering groups already operate under a $100 daily cap, which could fall to as little as $25.
- Employees who need larger budgets for their work can seek exemptions from senior executives.
Apple did not immediately respond to a Reuters request for comment.
A Wider Cost-Cutting Push
The move comes as part of Ternus’s broader effort to rein in costs and reduce corporate bloat. Ternus took over as Apple CEO on September 1, and 9to5Mac reported that the budget cuts have stoked staff fears of layoffs. MacRumors noted that engineers at Apple hold the largest AI budgets because AI-assisted coding consumes large numbers of tokens, and that Apple is asking some teams to use less expensive models or switch to on-device AI.
The actual savings may be modest: some employees told Bloomberg they were not coming close to using their full $300 daily limit. Still, the signal matters. Bloomberg’s Mark Gurman previously reported that Apple is heavily reliant on Anthropic’s models for its internal operations, describing the company as essentially “running on Anthropic,” even as it partners with Google to power Siri.
An Industry-Wide Reckoning
Apple is not alone in reexamining AI bills. Reuters noted that Bloomberg recently reported Goldman Sachs restricted access to some AI coding tools following a review of productivity and risk management. The pattern reflects a broader shift: after encouraging widespread AI adoption, technology and finance companies are now scrutinizing the return on AI-related expenses.
Why It Matters
The cuts underscore how quickly the economics of enterprise AI are changing. When one of the most valuable companies in the world starts rationing AI tokens for its own engineers, it suggests the era of unlimited internal AI experimentation is giving way to measured deployment. For investors watching AI capex across Big Tech, Apple’s belt-tightening adds another data point: even the companies betting biggest on the AI future are watching what it costs.
