Vision1

Many tech journalists are quick to say Apple is “late” to the AI race, but they’re missing the bigger picture. Just because Apple hasn’t rushed out flashy demos or standalone AI products doesn’t mean it’s behind. In fact, all major AI models are already available on Apple’s platform—developers now have access to on-device and server-based foundation models through Apple’s new APIs. These models are deeply integrated across iOS, iPadOS, and macOS, with privacy and user context at the core.

What critics overlook is that releasing something early doesn’t always mean leading. Sometimes, holding back signals that something bigger is coming—something more polished, more useful, and more sustainable. Apple has a track record of entering new spaces deliberately, and then changing the game.

And let’s be honest: most current AI features across the industry still aren’t generating real revenue. Apple is focused on building tools that serve its ecosystem and users first—not chasing hype.

Giannandrea came from Google, but he was never trained to think the Apple way. One of the reasons Apple worked so well for so long is because it thought different — a mindset Steve Jobs instilled deeply in the company. That way of thinking shouldn’t be assumed; it must be taught. If Apple wants to keep its soul intact, it needs to train new people in the culture that made it great. Hope they will learn from it. 

I applaud you for speaking out against the DMA and highlighting the serious consequences it brings. The EU’s actions are not just stifling innovation but also putting user privacy and security at risk. It’s great to see voices pushing back against these harmful regulations, and I hope more people will join in raising awareness. The DMA is a step in the wrong direction, and it’s crucial that we continue to challenge it before more damage is done.