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Bloomberg reports Apple tightens employee AI usage budgets: some engineers' daily allowance drops 33%, may fall furth...
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Bloomberg published a blog post on November 5 saying that Apple is tightening internal budgets for employee use of artificial intelligence tools in order to curb rapidly rising AI usage costs. People familiar with the matter said Apple has lowered the daily AI spending cap for some engineers from $300 to $200, a reduction of 33%. The report also said Apple plans to further lower quotas for some engineering teams, possibly to as low as $100 per day.
This adjustment comes as Apple seeks to integrate AI more deeply into research and development, engineering, and daily operations. The company hopes to use AI to improve operational efficiency, but as model calls increase, related costs continue to rise. To this end, Apple has begun setting stricter limits on token consumption when employees call AI models, in order to control internal spending.
Tokens are the unit of data volume used when AI models process requests such as text and code, and AI service providers usually charge by usage. More advanced models cost more, and complex tasks such as writing and debugging software code are especially likely to consume large amounts of quota. The report said Apple employees can use services such as Anthropic's Claude, OpenAI's ChatGPT, and Google's Gemini, while some teams have been asked to switch to cheaper models or turn to AI solutions that can run locally on devices.
In addition to engineering teams, budgets for non-engineering teams are also facing compression. People familiar with the matter said some non-engineering teams originally had a daily quota of $100, and Apple is even considering lowering it to $25. Employees with genuinely higher needs can apply to senior management for exemptions, indicating that Apple still retains some flexibility while controlling costs.
The report believes this change reflects Apple's more精细 accounting of AI input and output. Previously, companies generally encouraged employees to experiment with AI tools on a large scale; now they are more focused on the balance between cost, efficiency, and actual returns. Apple has not yet publicly commented on the related budget adjustments.
This trend is not isolated in the tech industry. Microsoft has likewise tightened internal AI spending, Tesla has set a weekly cap of $200 on employee AI spending, Uber limits monthly usage of a single AI coding tool to $1,500, and Meta has introduced token budgets and encourages employees to use its self-developed tools. The practices of multiple companies show that enterprise AI applications are moving from an expansion and experimentation phase to a cost management phase.
For Apple, compressing daily quotas may affect how often engineers use high-cost models for code generation, debugging, and testing. Some teams turning to lower-cost models or local AI solutions may also change their development processes and tool choices. How to strike a balance between improving efficiency and controlling spending will become key to Apple's push for internal AI applications.
Looking ahead, Apple may continue to refine quota management according to team needs and use an exemption mechanism to preserve AI resources for high-priority projects. Budget tightening at the industry level also means that AI service providers need to prove the input-output ratio of their models in enterprise and developer scenarios. The follow-up impact of Apple's adjustment remains to be seen.
