Privacy, Integration, and the Future of AI Evolution (Apple Intelligence)

A former Googler’s perspective on the shifts going on with — and her shift to — Apple’s ecosystem and its tantalizing AI capabilities

Apple is renowned for its focus on privacy, high integration among apps, and a philosophy of being best rather than being first. Critics highlight the high cost, the “Walled Garden” approach, and late entry into AI compared to Microsoft, Google, OpenAI, and Nvidia.

Despite being an ex-Googler and long-time user of Google’s apps, one source of ours has announced to fully commit to the Apple ecosystem — even before any releases are available, only arriving in the fall, at the earliest. The recent WWDC keynote was extensive and dense, showcasing numerous new features for fall, emphasizing AI integrated into Apple products. Apple’s “Apple Intelligence” will enhance app interaction on your phone, offering a unique, controlled AI experience unlike ChatGPT. This integration promises a powerful orchestration between privacy, security, convenience, and power, unmatched by any open-source platform or vendor.

Apple’s new built-in password manager and the high integration of its ecosystems’ apps make it compelling offers of potentially-unmatched possibilities. Privacy concerns are valid, but the trend towards high-privacy, high-convenience tech is inevitable. This fall, iPhones will become akin to “Confidantes,” AI-based personal assistants long envisioned by researchers, since the 1930s and even more recently in 2001.

Apple’s advantages include its simple office suite, longer battery life for movies on Safari, better Apple Maps, end-to-end encryption, transformative Apple Watch, versatile iPad pen, and a compelling password manager.

With the arrival of killer AI apps - no, not deadly - “killer” as in old Silicon Valley parlance for “way cool,” the Apple Vision Pro now might justify a purchase.

You know that Apple doesn’t care how many Apple Vision Pro 1’s it sells?

Like, Subscribe, and Share to hear our next update on data, materials, and people practices like data science, physical characterization, and flow psychology. We might even explain why Apple doesn’t give an iota of care about how many Apple Vision Pro 1’s it sells.

Or how about I simply tell you?

It’s because the Vision Pro (1) is a developer’s early glimpse that the highly motivated have to pay for.

It’s this approach we think about when we guide integrated product development at Prism14, too.