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Apple's iPhone and iPad devices have become the first consumer electronics to receive clearance for handling classified NATO information, marking a significant step for their use in secure environments.

These articles discuss how AI is reshaping the consumer electronics market, from the future of smartphones to the rising demand for essential components and the strategic shifts by chip designers like Arm.

Two recent reports predict further declines in the smartphone market in 2026, as dwindling memory supplies continue to drive up prices of consumer electronics.

Google's AI boss Demis Hassabis said the memory market came down to "a few suppliers of a few key components." PONTUS LUNDAHL/TT NEWS AGENCY/AFP via Getty Images Google DeepMind CEO Demis Hassabis said that the "whole supply chain" for memory chips is constrained. "You need a lot of chips to be able to experiment on new ideas," Hassabis told CNBC. Google produces its own TPUs, but Hassabis said that there were still "key components" that were supply-constrained. The memory shortage takes no prisoners. Even Google isn't immune. AI companies are duking it out for greater and greater quantities of memory chips. The problem? The industry is heavily supply-constrained. Costs have skyrocketed, products have been tied up, and some companies — especially those in consumer electronics — are increasing prices. On the AI front, Google DeepMind CEO Demis Hassabis told CNBC that physical challenges were "constraining a lot of deployment." Google sees "so much more demand" for Gemini and its other models than it could serve, he said. "Also, it does constrain a little bit the research," Hassabis said. "You need a lot of chips to be able to experiment on new ideas at a big enough scale that you can actually see if they're going to work." Researchers want chips, whether they work at Google, Meta, OpenAI, or other Big Tech companies, and memory is a key component. Mark Zuckerberg said that AI researchers demanded two things beyond money: the fewest number of people reporting to them, and the most chips possible. Hassabis said that wherever there was a capacity constraint, there was a "choke point." "The whole supply chain is kind of strained," Hassabis said. "We're lucky, because we have our own TPUs, so we have our own chip designs." Google has long built TPUs — Tensor Processing Units — for internal use. The company also leases them to external customers through its cloud, which has also put Nvidia on edge. But even access to their own TPUs won't save Google from having to navigate the highly competitive memory market. "It still, in the end, actually comes down to a few suppliers of a few key components," Hassabis said. Three suppliers dominate memory chip production: Samsung, Micron, and SK Hynix. These companies are struggling to meet demand for chips from AI hyperscalers without dropping their longtime electronics customers. It doesn't help that AI companies mainly want a different type of memory chip than PC manufacturers do. Large language model producers want HBM (high-bandwidth memory) chips. Don't expect Google's spending on AI infrastructure and chips to go down anytime soon. On its fourth-quarter earnings call, the company projected capital expenditures of $175 billion to $185 billion for 2026. Read the original article on Business Insider

A boom of investment in artificial intelligence has led to an unforeseen problem: a shortage of the world's memory chip supply, which threatens to drive up the price of consumer electronics like laptops, smartphones and video game consoles.

The artificial intelligence boom is shifting focus towards smart glasses, positioning them as the next major interface in consumer electronics, alongside other AI-powered wearables and home devices.