Apple’s AI Stumbles Aren’t the Problem. The Problem Is AI

Apple is catching hell right now for its AI rollout, and I get it. The company that built its reputation on polish and precision has been stumbling in public like never before. Delayed Siri features, comically bad text message summaries, and a pulled ad that people hated so much Apple had to yank it.

But here’s the thing nobody wants to say out loud: Apple’s AI problems aren’t really about Apple. They’re about AI.

Let me explain.

Every big tech company is scrambling to cram AI into their products because Wall Street is demanding it. Investors want an Apple “super cycle” — some magical new feature that makes everyone run out and buy a new phone. AI is the story they’ve latched onto. Never mind that customers aren’t asking for it. Never mind that nobody can clearly explain what problem it solves. The stock price wants what it wants.

So Apple rushed. And they botched it. They’re owning the mistake, at least — they’ve delayed the big Siri overhaul indefinitely and said it’ll come “in the coming year.” That’s a rare admission of error from a company that usually just ships and moves on.

But the narrative has already flipped. Now Apple is the laggard. The company that missed the AI boat. The one that failed to meet the moment.

And that’s where this whole thing goes off the rails.

There’s a saying in politics: “The party can never fail, it can only be failed.” Blame the voters, not the platform. The same logic is taking hold among AI’s true believers. AI can never fail — it can only be failed. Failed by you and me, the smooth-brained Luddites who just don’t get it.

Tech columnists like Kevin Roose from the New York Times have been pushing this line. Apple failed AI, he argues, not the other way around. Apple needs to get comfortable with error, with mistakes, with things that are “a little rough around the edges.”

Respectfully: absolutely not.

Apple built a $3 trillion empire on the opposite philosophy. The walled garden, the meticulous design, the obsessive privacy and security — that’s why a billion people trust this company with their face scans, their bank accounts, their real-time location. You buy an iPhone, turn it on, and it works. No manual required. Even your Boomer parents can figure out FaceTime.

Roose says regular users understand AI isn’t perfect, that there’s a right way and a wrong way to query a chatbot. So the problem is us. We need to learn how to tiptoe around the limitations of large language models that may or may not give us accurate information.

To what end?

As Roose’s co-host Casey Newton pointed out in the same conversation, it’s not like Google or Amazon has figured out some incredible use case that’s making people rush to buy new hardware. Nobody is lining up for a Pixel phone because of AI. Nobody is replacing their Echo because of some killer feature.

“AI is still so much more of a science and research story than it is a product story,” Newton said. And he’s right.

Large language models are fascinating science. ChatGPT and Claude are genuinely impressive. But a bot that’s 80% accurate — and that’s being generous — isn’t a product. It’s a research project that got pushed to production before it was ready.

The tech press keeps treating this as Apple’s failure. But look at the actual landscape. Google’s AI overviews told people to eat glue. Microsoft’s Copilot hallucinates constantly. Amazon’s Alexa has been a glorified timer for years. Nobody has cracked this yet.

Apple’s sin is that they refused to ship something that wasn’t good enough. That’s not failure. That’s the discipline that made them Apple in the first place.

Maybe AI will get there. Maybe it won’t. But blaming Apple for not embracing half-baked technology is backwards. The emperor has no clothes, and Apple just happens to be the one who said so out loud.