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Tesla will limit employee spending on outside AI tools as companies reassess rising costs linked to wider workplace use of artificial intelligence.
The company has told staff that individual spending on external AI systems will be capped at $200 per week from July 6, according to an internal memo. Employees will need special approval to spend above that level.
The cap does not apply to Grok, the AI system linked to Elon Musk’s xAI. The decision comes as several large companies review AI bills after encouraging workers to use the technology across daily tasks.
Tesla’s new rule places a weekly limit on staff use of outside AI tools, including systems used for coding, research, writing, and other workplace tasks. The cap is set at $200 per employee each week, with higher spending requiring approval.
The move marks a shift from earlier corporate pressure to increase AI adoption. Tesla and other companies have urged employees to use AI tools to raise output and speed up work. Musk said earlier this year that AI could make worker “output” get “nutty high.”
However, AI use has become more expensive as workers rely on advanced tools and coding agents. These systems can keep running tasks, retry failed steps, and use large amounts of computing power. As a result, companies are now watching how much each employee spends.
The cap also shows how firms are trying to separate useful AI work from routine or low-value use. Some employees may now have to choose cheaper tools or reserve AI use for tasks that need more support.
Tesla is not the only company adding limits. Uber recently capped employee use of AI tools at $1,500 per month. Meta, Walmart, Coinbase, and AT&T have also moved to review or limit staff use of outside AI systems, according to reports.
The change follows a period when many companies pushed workers to use AI as much as possible. Some firms tracked usage through tokens, which measure how much an AI system processes. This trend became known as “tokenmaxxing,” as workers were judged by how much AI they used.
Nevertheless, the approach created cost concerns. Reports say some companies spent their full annual AI budgets within a few months. In other cases, small groups of employees spent more on AI tools than larger teams.
AI coding agents are one reason for the higher costs. Unlike a chatbot that replies once, an agent may call AI models many times while completing a task. That can raise bills quickly, even when the price of each computing unit falls.
Meanwhile, companies are trying to balance adoption with expense control. The new limits do not signal a full pullback from AI use. Instead, they show that firms want clearer rules on how employees use paid tools.
The cost controls come as investors debate whether heavy AI spending can produce enough business returns. Large AI infrastructure spending has helped lift parts of the stock market, but rapid corporate adoption remains central to that growth case.
Responding to a post on X this week about a possible tech crash, Musk wrote, “There are always momentary dips, even in a rapidly growing economy.” He added that “the productivity gains from AI and robotics are so enormous” that the wider trend is “overwhelmingly up.”
Tesla still wants to present itself as an AI-focused company. Musk has pointed to driverless technology and Optimus Robots as major parts of Tesla’s future. This week, he said Tesla had started making Optimus bots at its Texas factory.
However, the company faces pressure in its main electric vehicle business. Tesla is competing with lower-cost Chinese EV makers, while demand in some markets has shifted. Even so, the company posted a 25% rise in quarterly sales this week after a rebound in Europe.
The weekly AI cap shows that Tesla is still pushing AI use, but under tighter spending rules. For now, the company is asking staff to use outside AI tools with more control as corporate AI bills face closer review.
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