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AI on Apple

Apple’s record quarter shows that AI doesn’t sell iPhones

Apple just had its best quarter ever without a fully functional AI product.

Rani Molla

Apple may have just made a great case against AI.

You may have heard: Apple has been an AI laggard for years. The company’s new AI Siri, which debuted later than other similar products, still struggles to answer basic questions, let alone perform more complicated tasks.

But that sure hasn’t hurt iPhone sales.

Apple reported all-time record iPhone revenue during its fiscal first-quarter earnings Thursday. What’s been driving those sales? Here’s CEO Tim Cook on the earnings call:

“Its the display. Its the camera. Its the performance. Its the new selfie camera. Its the design. The design is beloved. And so, its all of these things that come together at once and are producing a very strong product cycle, as witnessed by our December quarter results.”

Notably absent from that list: AI, Apple Intelligence, or Siri. Sure, the iPhone maker is expected to finally release an AI Siri that integrates personal information and on-screen context — features it’s been promising and largely failing to deliver since June 2024 — next month. And a more chatbot-style Siri, something OpenAI and Google have offered for years, is slated to arrive this summer.

But as we’ve written before, AI features — and new phone features generally — don’t really drive sales. (For what it’s worth, AI doesn’t appear to sell PCs, either.)

According to the latest data from Consumer Intelligence Research Partners, only a small segment of iPhone buyers, 14%, bought a new iPhone last year for “new features.” More people, 19%, purchased a new iPhone because their existing one was lost, broken, or stolen. Nearly half made their purchase because their current phone needed replacing — say its battery life was failing, the software began slowing down, or the screen was cracked.

In other words, people aren’t dropping $1,100 — the base cost of the iPhone 17 Pro — for a smarter Siri, let alone the prospect of a smarter Siri in the future.

What’s more likely happening is that many of the people who bought iPhones during the 2020-21 supercycle are now running into the natural limits of those devices. An iPhone typically lasts about five years, which is roughly how long it’s been since a huge wave of consumers last upgraded.

That’s not to say AI isn’t useful, or that it won’t eventually become a baseline expectation for new phones. But for now, Apple’s earnings suggest something much less futuristic is driving sales: replacement demand.

iPhone sales have been going gangbusters without AI because they last and then, eventually, they don’t.

Of course, Apples share price is down 0.8% the morning after it reported record revenue and earnings. Maybe investors are a little more driven by AI hopes and dreams these days than prolific sales and profits.

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Jon Keegan

White House releases AI legislative framework

The White House has released its policy wish list for AI legislation — and what it wants excluded.

Still, the odds of any actual AI regulation getting passed in Congress right now are very slim.

The “National Policy Framework” for AI lays out seven issues that the Trump administration wants to see reflected in any congressional action around AI.

The items listed in the framework include:

  • Child safety protections, age verification, and parental controls for AI.

  • Data center projects voluntarily pay their own way when it comes to power, but incentives should still be encouraged.

  • Copyright laws should allow for training models on copyrighted works, while protecting individuals’ voice and likeness.

  • Free speech should be defended for AI systems, preventing the government from pressuring companies to ban or alter content based on partisan agendas.

  • A light touch to regulation to encourage innovation, and no federal agency to regulate AI.

  • American workers vulnerable to AI job replacement should be retrained and supported.

  • Federal AI rules should preempt any state AI legislation to prevent a patchwork of laws that companies would hate.

The policy list is the latest in a series of proposals from the AI-friendly Trump administration.

The items listed in the framework include:

  • Child safety protections, age verification, and parental controls for AI.

  • Data center projects voluntarily pay their own way when it comes to power, but incentives should still be encouraged.

  • Copyright laws should allow for training models on copyrighted works, while protecting individuals’ voice and likeness.

  • Free speech should be defended for AI systems, preventing the government from pressuring companies to ban or alter content based on partisan agendas.

  • A light touch to regulation to encourage innovation, and no federal agency to regulate AI.

  • American workers vulnerable to AI job replacement should be retrained and supported.

  • Federal AI rules should preempt any state AI legislation to prevent a patchwork of laws that companies would hate.

The policy list is the latest in a series of proposals from the AI-friendly Trump administration.

tech
Jon Keegan

WSJ: OpenAI rolling everything into one desktop “superapp”

OpenAI is trying to eliminate distractions and focus on building AI that helps with enterprise productivity tasks like coding and organizing spreadsheets.

As part of that effort, the startup is consolidating some of its side quests into one superapp, according to a report from The Wall Street Journal.

The plan is to merge ChatGPT, Codex, and the Atlas browser together, as it seeks to focus its efforts as it competes with Anthropic and Google for lucrative enterprise customers.

OpenAI Head of Apps Fidji Simo told staffers in an internal memo that “we realized we were spreading our efforts across too many apps and stacks, and that we need to simplify our efforts. That fragmentation has been slowing us down and making it harder to hit the quality bar we want,” per the report.

The plan is to merge ChatGPT, Codex, and the Atlas browser together, as it seeks to focus its efforts as it competes with Anthropic and Google for lucrative enterprise customers.

OpenAI Head of Apps Fidji Simo told staffers in an internal memo that “we realized we were spreading our efforts across too many apps and stacks, and that we need to simplify our efforts. That fragmentation has been slowing us down and making it harder to hit the quality bar we want,” per the report.

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