Apple is tightening internal spending on artificial intelligence tools while continuing to expand AI use across its operations. The changes affect daily allowances for engineers and other staff, highlighting broader pressure on technology companies to scrutinize AI costs.
Highlights
- Apple reduced daily AI tool spending limits for some engineers to $200 from $300 in May and is considering further cuts to $100.
- Non-engineering groups at Apple already face $100 daily AI caps, with possible future reductions to as little as $25 per day.
- Apple's stricter AI budget controls reflect a broader tech-sector trend, with firms like Goldman Sachs also limiting AI tool access due to rising costs and risk concerns.
Lower internal limits for AI tool usage
As reported by Reuters, citing Bloomberg News, Apple last month cut the daily AI spending allowance for some engineers to $200 from $300. The company is also considering further reductions for some engineering teams, potentially lowering daily limits to $100, while some non-engineering groups already operate under a $100 daily cap that could fall to as little as $25.Employees who need greater access to AI tools can seek exemptions from senior executives, according to the report. The budgets cover AI tokens, the units of data processed by models such as OpenAI's ChatGPT, Anthropic's Claude and Google's Gemini.
Apple does not immediately respond to a Reuters request for comment.
Broader pressure to rein in AI costs
The move reflects a wider shift across the technology sector as companies review AI-related spending after initially encouraging broader adoption. Businesses are weighing the productivity benefits of generative AI tools against rising operating costs and risk controls.Bloomberg recently reported that Goldman Sachs restricted access to some AI coding tools after reviewing productivity and risk management. Apple's latest budget changes suggest that even companies investing in AI expansion are applying tighter controls to day-to-day usage.
Our earlier article on CEO adoption of AI agents highlighted that many large U.S. companies are seeing efficiency and growth gains, even though only a small share currently view the technology as truly transformational. It also noted that executives expect continued hiring, retraining, and sustained investment in AI infrastructure as organizations work through the harder process and governance needed to scale AI into core workflows.
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