back to top
HomeTechOpenAI Wanted Distribution on the iPhone. Apple Had Other Plans.

OpenAI Wanted Distribution on the iPhone. Apple Had Other Plans.

- Advertisement -

OpenAI was supposed to become part of the iPhone experience. Apple would finally have an AI answer for Siri. ChatGPT would sit in front of hundreds of millions of users.

It didn’t work out that way.

According to Bloomberg, OpenAI has brought in outside legal counsel to explore its options, including a formal breach-of-contract notice against Apple. The integration that was supposed to funnel billions in new subscriptions toward ChatGPT instead got buried deep enough that most iPhone users probably don’t know it exists. One OpenAI executive put it plainly: “They basically said, ‘OpenAI needs to take a leap of faith and trust us.’ It didn’t work out well.”

ChatGPT got onto the iPhone. Almost nobody noticed

When Apple announced the ChatGPT integration at WWDC 2024, it looked like a genuine win for OpenAI. ChatGPT would live inside Siri and power Apple’s Visual Intelligence feature, putting it in front of hundreds of millions of iPhone users by default. For a company that built its growth on web traffic and app downloads, that kind of embedded distribution was hard to pass up.

OpenAI expected billions. The iPhone is the most attractive platform for consumer software growth, and being baked into the operating system is as close to a guaranteed audience as you get. What OpenAI got instead, per Bloomberg, was an integration that was hard to find, features that were difficult to surface, and revenue nowhere near what either side projected.

Apple’s side of it

Apple isn’t sitting quietly either. The company has its own grievances, concerns about OpenAI’s privacy standards, and irritation over OpenAI’s push into hardware, an effort led by former Apple design chief Jony Ive. Apple doesn’t appreciate a partner it helped legitimize turning around and competing in territory Apple considers its own.

You May Like: OpenAI’s Daybreak Wants to Fix Vulnerabilities Before Hackers Exploit Them

The Google move

While OpenAI was waiting for the integration to deliver, Apple was having a different conversation entirely. Earlier this year it struck a separate AI infrastructure deal with Google, paying roughly $1 billion annually to power Apple Intelligence with Gemini models.

Think about what that means for a second. Apple chose to pay its oldest rival a billion dollars a year rather than deepen its relationship with the company already living inside its operating system. OpenAI didn’t get replaced outright, the ChatGPT integration technically still exists but when your partner is cutting nine-figure checks to someone else, the message isn’t subtle.

For Google, it’s a remarkable turnaround. The two companies have been rivals since Android launched in 2008. For Apple, it’s a purely transactional move. Gemini gives them what they need without the complications that apparently came with OpenAI. For OpenAI, it’s the part of this story that stings most.

This isn’t the first time Apple has done this

It’s worth remembering that OpenAI is not the first major software company to learn this lesson the hard way. Google Maps was a flagship feature of the original iPhone. Apple pulled it in 2012, replaced it with its own markedly inferior product, and issued a rare public apology when the fallout was bad enough. Google and Apple eventually found their way back to each other, Google is now paying Apple billions annually to remain the default search engine but the dynamic never really changed. Apple’s platform, Apple’s rules.

Adobe found out too. Steve Jobs refused Flash on the iPhone and iPad, published an open letter explaining why, and Flash never recovered on mobile. Spotify spent years fighting Apple over App Store rules that disadvantaged rival music apps after Apple Music launched, eventually winning a nearly €1.8 billion fine from the European Commission.

The pattern is consistent. Apple embraces partners when it needs them and makes things difficult when it doesn’t.

You May Like: OpenMythos: The Closest Thing to Claude Mythos You Can Run (And It’s Open Source)

Where this leaves OpenAI

Any formal legal action would likely wait until OpenAI’s ongoing trial with Elon Musk concludes. But the mobile distribution problem doesn’t go away in the meantime.

ChatGPT is the most recognized AI brand in the world and it still couldn’t get traction inside the iPhone. That’s the uncomfortable part of all this.

OpenAI is expanding Codex to iOS and Android, building out its own mobile presence the hard way, but getting developers to monitor coding agents remotely is a different challenge than getting everyday iPhone users to reach for ChatGPT over whatever Apple puts in front of them by default.

Apple has the platform. It has Google’s money and Gemini’s models. And it has a long history of making things very difficult for guests who overstay their welcome.

Don’t miss any Tech Story

Subscribe To Firethering NewsLetter

You Can Unsubscribe Anytime! Read more in our privacy policy

LEAVE A REPLY

Please enter your comment!
Please enter your name here

YOU MAY ALSO LIKE
Claude Will Soon Leave a Hidden Mark on Everything It Writes

Claude Will Soon Leave a Hidden Mark on Everything It Writes

0
Anthropic is adding invisible watermarks to text generated by Claude, and unlike a visible label, the marking is designed to travel with the text when users copy and paste it elsewhere. The move comes as AI-generated content becomes harder to distinguish from human writing and as the European Union begins requiring AI companies to make generated or manipulated content machine identifiable. Anthropic says the marking happens at the model level, meaning it can follow Claude-generated text across different products and surfaces rather than being tied to a particular app. The company also says it may survive some editing. But it raises a question, can AI-generated text actually be made traceable once it leaves the model that created it? And Anthropic's approach suggests the answer may be more complicated than simply adding a hidden signature to every sentence.
Zuckerberg Wrote 14 Pages About Open AI. His Best AI Model Is Still Closed

Zuckerberg Wrote 14 Pages About Open AI. His Best AI Model Is Still Closed.

0
Mark Zuckerberg published a 14-page essay today about why open-source AI is the path forward for humanity. Distribute intelligence rather than centralize it. Put the power in everyone's hands. A new era of personal empowerment. On the same day, Meta released Muse Glimmer, an open-source version of its most powerful model, Muse Spark, that anyone can download, modify, and build on for free. But the interesting part is, Muse Spark itself stays closed. You still pay to access it. The open version is nearly identical, Meta says, but the model that actually competes at the frontier, the one Zuckerberg's essay is implicitly defending remains behind a paywall. That gap between the philosophy and the product decision is what makes today's announcement interesting.

The Biggest AI Companies Are All Building Their Own Chips. That’s Not a Coincidence.

0
Anthropic confirmed this week it's hiring a custom silicon team to design chips for running Claude. The announcement was quiet a job listing, a spokesperson confirmation, no big launch event. Easy to file under "interesting but expected" and move on. But zoom out for a second. OpenAI shipped its first custom inference chip in June. Google has been running models on its own TPUs for years. Meta has designed and deployed its own silicon. Mistral is reportedly exploring the same path. And now Anthropic. Five of the most important AI labs in the world, all arriving at the same decision, within roughly the same window. None of them are copying each other. All of them looked at the same competitive landscape and reached the same conclusion independently. That kind of convergence doesn't happen by accident. It happens when an entire industry agrees that the thing everyone assumed was someone else's problem is actually the problem and that whoever solves it first has an advantage that's very hard to close later.