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Rani Molla

Apple’s AI phone utterly failed to drive sales

Apple’s iPhone revenue declined nearly 1% to $69.1 billion in its all-important holiday quarter, compared to the same period one year prior. Analysts had expected a 1.4% increase. It’s disappointing not only because the December quarter is Apple’s biggest, but also because it represents the first full quarter of sales for Apple’s new iPhone 16.

Shares are down about 2% in after-hours trading.

Apparently Apple’s AI phone wasn’t enough to drive a much-needed upgrade cycle. With the iPhone 16, the consumer electronics giant reimagined its signature product with artificial intelligence at its base.

AI will reinvent and provide a new era and a new chapter for iPhone and iPad and the Mac and all of our products over time, CEO Tim Cook said in an interview with Wired in December. Because I think it changes the way you interface with the product.

But Apple Intelligence is not very intelligent so far (some experiments have shown that Siri has gotten even less helpful with its advent) and perhaps consequently hasn’t caused people to buy the iPhone, which represents about half of Apple’s revenue. Apple also hasn’t spent as much as other tech companies on AI capex and outsourced a lot of that to leaders in the space, like OpenAI’s ChatGPT.

On the bright side, not really being considered an AI company after all has proved to be an asset amid this week’s AI tech rout, and Apple is again the world’s most valuable company. This hasn’t, however, protected the stock from a flurry of recent downgrades.

“Today Apple is reporting our best quarter ever, with revenue of $124.3 billion, up 4% from a year ago,” Cook told investors today, numbers which were roughly in line with analyst expectations. That good news, however, was thanks to its Services division and not the iPhone.

Revenue in China, a very important market for Apple, was lower than Wall Street expected, down 11% to $18.5 billion.

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Trump AI executive order is a “major win” for Open AI, Google, Microsoft, and Meta, says Ives

President Trump’s new executive order aiming to keep states from enacting AI laws that inhibit US “global AI dominance” is a “major win” for OpenAI, Google, Microsoft, and Meta, according to Wedbush Securities analyst Dan Ives. Big Tech companies have collectively plowed hundreds of billions into the technology, while seeing massive stock price gains, and Ives believes they stand to gain much more.

“Given that there have been over 1,000 AI laws proposed at the state level, this was a necessary move by the Trump Administration to keep the US out in front for the AI Revolution over China,” Ives wrote, adding that state-by-state regulation “would have crushed US AI startup culture.” The presidential order would withhold federal funds from states that put in place onerous AI regulations.

This morning, Whitehouse AI adviser Sriram Krishnan said in a CNBC interview that he’d be working with Congress on a single national framework for AI.

Despite Ives’ rosy read-through on the order, with the exception of Nvidia, which jumped on a report of boosted Chinese demand, many AI stocks are in the red early today. The VanEck Semiconductor ETF is down nearly 1% premarket, as the AI trade struggles thanks to underwhelming earnings results from Oracle earlier this week.

“Given that there have been over 1,000 AI laws proposed at the state level, this was a necessary move by the Trump Administration to keep the US out in front for the AI Revolution over China,” Ives wrote, adding that state-by-state regulation “would have crushed US AI startup culture.” The presidential order would withhold federal funds from states that put in place onerous AI regulations.

This morning, Whitehouse AI adviser Sriram Krishnan said in a CNBC interview that he’d be working with Congress on a single national framework for AI.

Despite Ives’ rosy read-through on the order, with the exception of Nvidia, which jumped on a report of boosted Chinese demand, many AI stocks are in the red early today. The VanEck Semiconductor ETF is down nearly 1% premarket, as the AI trade struggles thanks to underwhelming earnings results from Oracle earlier this week.

tech
Rani Molla

Epic scores two victories as “Fortnite” returns to Google Play and appeals court keeps injunction against Apple

“Fortnite” maker Epic Games notched two wins Thursday in its drawn-out battle against Big Tech’s app stores. “Fortnite” returned to the Google Play app store in the US, Reuters reports, as Epic continues working with Google to secure court approval for their settlement.

Meanwhile, a US appeals court partly reversed sanctions against Apple in Epic’s antitrust case, calling parts of the order overly broad, but upheld the contempt finding and left a sweeping injunction in place — keeping pressure on Apple to allow developers to steer users to outside payment options and reduce its tight control over how apps can communicate and monetize on iOS.

tech
Jon Keegan

Report: AI-powered toys tell kids where to find matches, parrot Chinese government propaganda

You may want to think twice before buying your kids a fancy AI-powered plush toy.

A new report from NBC News found that several AI-powered kids toys could easily be steered to dangerous as well as sexually explicit conversations in a shocking demonstration of the loose safety guardrails in this novel category of consumer electronics.

A report out by the Public Interest Research Group details what researchers found when they tested five AI-powered toys for kids bought from Amazon. Some of the toys offered instructions on where to find matches and how to start fires.

NBC News also bought some of these toys and found they parroted Chinese government propaganda and gave instructions for how to sharpen knives. Some of the toys also discussed inappropriate topics for kids, like sexual kinks.

The category of AI-powered kids toys is under scrutiny as major AI companies like OpenAI have announced partnerships with toy manufacturers like Mattel (which has yet to release an AI-powered toy).

A report out by the Public Interest Research Group details what researchers found when they tested five AI-powered toys for kids bought from Amazon. Some of the toys offered instructions on where to find matches and how to start fires.

NBC News also bought some of these toys and found they parroted Chinese government propaganda and gave instructions for how to sharpen knives. Some of the toys also discussed inappropriate topics for kids, like sexual kinks.

The category of AI-powered kids toys is under scrutiny as major AI companies like OpenAI have announced partnerships with toy manufacturers like Mattel (which has yet to release an AI-powered toy).

tech
Jon Keegan

OpenAI releases GPT-5.2, the “best model yet for real-world, professional use”

After feeling the heat from Google’s recent launch of its powerful Gemini 3 model, OpenAI’s response to its “code red” has been released, reportedly on an accelerated schedule to keep up with the competition.

The company’s new flagship model, GPT-5.2, is out, and the company is calling it “the most capable model series yet for professional knowledge work.”

OpenAI CEO Sam Altman called it the “smartest generally-available model in the world” and shared benchmarks that showed it achieving higher scores than Gemini 3 Pro and Anthopic’s Claude Opus 4.5 in some software engineering tests and abstract reasoning, math, and science problems.

In a press release announcing the new model, the company said: “Overall, GPT‑5.2 brings significant improvements in general intelligence, long-context understanding, agentic tool-calling, and vision — making it better at executing complex, real-world tasks end-to-end than any previous model.”

OpenAI CEO Sam Altman called it the “smartest generally-available model in the world” and shared benchmarks that showed it achieving higher scores than Gemini 3 Pro and Anthopic’s Claude Opus 4.5 in some software engineering tests and abstract reasoning, math, and science problems.

In a press release announcing the new model, the company said: “Overall, GPT‑5.2 brings significant improvements in general intelligence, long-context understanding, agentic tool-calling, and vision — making it better at executing complex, real-world tasks end-to-end than any previous model.”

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