Apple rarely shifts direction. When it does, the move is slow, careful, and polished.
But its recent talks with OpenAI and Anthropic suggest something different. Apple seems ready to face a hard truth: it’s falling behind in AI, and it may not be able to catch up alone.
Siri has never quite worked. Apple promised improvements year after year, more context, better responses, but the experience stayed the same.
Meanwhile, assistants like ChatGPT, Claude, and Gemini raised expectations. Siri still fumbles with basic tasks. That’s not just a design issue. It’s a deeper failure.
Part of the problem is leadership. Apple put hardware and operations experts in charge of AI. These teams know how to ship devices, not how to build intelligence systems.
AI doesn’t follow a product roadmap. It’s research-driven. It evolves through trial, error, and exploration. Apple hasn’t adapted to that.
Privacy adds another challenge. Apple has long protected user data, keeping it on-device when possible. That’s good for trust.
However, building powerful AI models requires a substantial amount of data that is varied, large-scale, and centralized. Apple’s privacy-first setup limits what its systems can learn.
This results in compromises that don’t satisfy anyone. Apple Intelligence is secure, but it’s weak. Compared to the best tools in the field, it feels unfinished.
Now the cracks are showing. Engineers are leaving for companies like Meta and OpenAI. Internal teams are frustrated. Deadlines slip. Siri’s next version is already a year behind schedule, and its roadmap is unclear.
So Apple is doing something rare: it’s turning outward. According to Bloomberg, the company is in talks with OpenAI and Anthropic to run their models on Apple’s servers. If a deal goes through, a third-party model could power Siri.
That would mark a major change. Apple has spent years developing its own models and systems. It has been said that this approach proves it can build AI on its own terms, private, local, and secure.
But those models aren’t ready. Now, leaders like Craig Federighi and Mike Rockwell seem willing to step back and rethink the plan.
Key decisions lie ahead. How much of Siri would run on outside models? How much control would Apple give up? Would it name its AI partner? And is it willing to pay the high licensing costs to move faster?
These are tough questions. But continuing with underwhelming tools is no longer an option.
The smart move now is clarity. Apple should say it plans to blend top-tier privacy with the best models available, even if they aren’t homegrown. That would buy time to improve its own systems, restore user trust, and take AI seriously.
Apple doesn’t lack the tools. It has money, reach, and engineering talent. What it lacked was the willingness to admit it didn’t have the answer. Now, it may be ready to ask better questions.
Now over to you, has Apple fallen too far behind in AI, or is there still time to catch up? Let’s hear your thoughts in the comments.
