
Apple is reducing daily spending caps for its engineering teams' internal AI usage from $300 to $200, with further cuts to $100 reportedly in progress. Non-engineering departments may face limits as low as $25 per day, according to Bloomberg reports. This policy shift reverses earlier strategies encouraging maximum AI adoption and reflects broader concerns about the cost-to-benefit ratio of enterprise AI tools. TechCrunch has contacted Apple for comment on the new restrictions.
Read originalTopicApple Internal AI Budget CutsNew
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Apple slashes internal AI spending caps
2 developments
© TechCrunch AIGoogle is acquiring an unfinished data center from Crusoe in Wyoming, signaling a strategic pivot to direct infrastructure control amid scaling pressures. The $17 billion investment highlights the immense capital required for AI compute, as independent developers struggle with cost and timeline overruns. This move illustrates the growing vertical integration of tech giants into physical infrastructure, reducing reliance on third-party providers like Crusoe for massive deployments. By taking ownership, Google bypasses the bottlenecks that often plague external development teams. The deal reflects a broader industry trend where hyperscalers reclaim control over their most critical assets. Independent builders now face stiffer competition from companies with deeper pockets and direct operational oversight.
© TechCrunch AIOpenAI is securing an additional $11 billion in a funding round that values the company at $1.25 trillion, falling short of its initial $30 billion target but still signaling massive investor confidence. This latest capital injection comes as the broader AI market faces headwinds, with Anthropic’s potential IPO valuation also cooling from earlier highs. The move highlights OpenAI's continued ability to attract deep-pocketed support despite regulatory uncertainties and political shifts affecting data center expansion. While the round hasn't fully closed, the sheer scale of this valuation reinforces OpenAI's dominant position in the race for AI supremacy. Investors are betting big on the lab's ability to maintain its lead in compute and model capabilities. The delay in IPO plans suggests a strategic pause to navigate these complex market conditions. This funding ensures OpenAI remains the financial heavyweight in the sector.
© TechCrunch AICensys uncovered over 800 publicly accessible instances of Artex, an autonomous penetration testing tool linked to major breaches in Korean finance and ConnectWise. These exposed deployments reveal a critical security gap: powerful AI agents running without authentication turn offensive capabilities into open targets for misuse. The developers recently shifted to closed-source distribution, yet the code remains widely available on public repositories, leaving the threat landscape largely unchanged. This situation demonstrates how easily sophisticated AI-driven attacks can be launched by anyone with basic configuration skills. The widespread exposure underscores significant risks associated with misconfigured AI security tools.
© The AI Daily BriefMenlo's latest report reveals enterprise AI spending has increased nearly five times in one year, primarily driven by the adoption of AI agents.
© The AI Daily BriefNLW analysis shows Anthropic's market share is rising alongside increased demand for frontier models, even as doubts about its upcoming IPO grow.
© The AI Daily BriefThe AI sector is experiencing its most significant stock price decline since 2020, marking a notable correction in the tech market.