HardwareFreaks

Tag: Tech industry

  • OpenAI mulling giving US gov’t a 5% stake in the company, days after Washington delayed GPT-5.6 — Altman reportedly wants every leading U.S. AI lab paying into an Alaska-style public fund

    Featured image OpenAI mulling giving US govt a 5 stake in the company days after Washington delayed GPT56 Altman reportedly wants every leading US AI

    The Silicon Stake: Is the U.S. Government Ready to Share in the AI Revolution?

    In the high-stakes arena of artificial intelligence, where valuations soar into the tens of billions, a fascinating debate is brewing at the intersection of code and policy. OpenAI, the powerhouse behind generative models like ChatGPT, has floated a bold proposal: handing the U.S. government a 5% ownership stake in the company.

    The thought experiment isn’t just about corporate equity; it’s about a new model for public wealth. CEO Sam Altman has suggested that leading AI developers should contribute their shares to a vehicle modeled on the Alaska Permanent Fund—a mechanism that distributes annual dividends from resource wealth directly to the populace. At OpenAI’s recent $852 billion valuation, this seemingly modest 5% stake translates to an estimated $42.6 billion.

    While the idea is conceptual and early-stage, the implications are staggering. Discussions around this type of public ownership have already surfaced in high-level political circles, with Altman having spoken with figures like President Trump, Commerce Secretary Howard Lutnick, and Treasury Secretary Scott Bessent, as well as Senator Bernie Sanders.

    This push for public AI ownership echoes a broader effort to ensure the American public has a tangible stake in this rapidly evolving technology. It connects to proposals such as the American AI Sovereign Wealth Fund Act, which seeks 50% public ownership and annual dividends.

    This isn’t the first time the government has experimented with equity in the tech sector. The administration previously utilized the CHIPS Act to negotiate ownership stakes, for instance, securing a 9.9% stake in Intel by converting grants into equity at specific rates. This history suggests that involving government oversight in AI development is not a novel concept.

    The current climate of AI is defined by intense regulatory activity and strategic competition. Just six days after these ownership talks emerged, the focus shifted to immediate safety concerns. The federal government had previously cautioned OpenAI against releasing the GPT-5.6 model without prior approval, and competing models like Anthropic faced new U.S. export controls applied to AI models rather than just hardware.

    As companies like OpenAI and Anthropic navigate these complex regulatory waters—with both filing for initial public offerings and facing scrutiny from state attorneys general—the possibility of a government shareholding introduces another layer of complexity. Establishing any such deal would require navigating not just corporate law, but the intricacies of Congressional action.

    Ultimately, whether the U.S. government accepts an ownership stake in AI is less about specific percentages and more about balancing groundbreaking innovation with public interest. It forces a conversation about how we distribute the immense wealth created by artificial intelligence, ensuring that the rewards of this technological leap benefit society as a whole.

    Credit: Tom’s Hardware

  • All MacBooks and iPads just got $200 or more expensive – iPhones are the last holdout

    Apple Adjusts Prices Amidst the AI Memory Crunch

    In what seems like a predictable yet increasingly relevant move, Apple has rolled out new pricing across a wide range of its products. This adjustment is not merely a routine update; it signals that the latest economic pressures stemming from the burgeoning world of artificial intelligence are now directly impacting the devices we use every day.

    Following recent discussions regarding the challenges facing the tech industry, Apple has made it clear that the soaring costs associated with memory and chip production—driven by the demands of advanced AI systems—have inevitably found their way into consumer pricing. It’s a tangible reflection of how macroeconomic forces are reshaping the cost of cutting-edge technology.

    The underlying issue stems from a growing “memory crisis.” As developers push the boundaries of AI, the demand for high-speed memory and specialized processing power has skyrocketed. This scarcity and increased complexity translate directly into higher manufacturing expenses for Apple.

    For consumers, these adjustments mean that owning the latest generation of devices requires a slight shift in budget. While innovation continues at a breakneck pace, the economic reality is that the foundational components required to power tomorrow’s technologies are proving to be significantly more expensive today.

    This situation highlights a fascinating tension in the technology landscape: the race for unprecedented AI capabilities versus the practical realities of supply chain economics. The development of sophisticated artificial intelligence models requires immense computational resources, and that demand is creating ripple effects throughout the entire hardware ecosystem.

    Apple’s decision underscores a broader theme: even titans of the tech world are navigating an increasingly complex economic environment. As AI technologies move from the lab into mainstream applications, understanding the cost structure behind these innovations becomes as important as the innovation itself.

    Ultimately, these price changes serve as a clear indicator that the future of technology will be defined not just by groundbreaking features, but by how effectively companies manage the complex and costly materials required to bring those features to life.

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    Credit: TechSpot

  • Oracle cuts 21,000 jobs, admits AI is reducing its workforce

    The age of massive corporate restructuring is here, and this time, the driving force isn’t a bad quarter or market volatility—it’s artificial intelligence.

    Oracle, the behemoth of software and cloud computing, has recently faced the stark reality that the engine of its workforce is shifting. In an admission that rings with corporate honesty, the company acknowledged that recent eliminations were directly tied to the accelerating impact of AI on the need for a large human workforce.

    This shift wasn’t just about streamlining; it was about acknowledging a fundamental change in how technology operates and delivers value. While innovation continues to explode, the structures built to support previous operational models are being dramatically reshaped by new capabilities.

    The financial implications of this transition were substantial. The cost associated with these workforce eliminations and subsequent restructuring reached an astonishing $1.8 billion, a figure significantly larger than the $374 million reported during the previous financial year.

    This massive expenditure highlights the scale of the transformation Oracle is undergoing. It underscores the difficulty in recalibrating a global enterprise when facing rapid technological evolution.

    Furthermore, the change affected the company’s size dramatically. As of May 31, 2026, Oracle‘s workforce stood at 141,000 employees, marking a notable decline from the 162,000 positions held just one year prior.

    This represents a tangible reduction of 13% in the company’s total headcount. It is a powerful statistic illustrating how quickly the landscape of high-tech employment can be redrawn by the relentless march of artificial intelligence.

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    Credit: TechSpot