When Apple Inc. (AAPL) announced it would integrate Alphabet Inc.'s (GOOGL) Google Gemini models to power Siri, most observers saw a pragmatic partnership between tech giants. Cathie Wood's ARK Invest research team sees something else entirely: a company in serious trouble.
Why ARK Thinks This Is a Strategic Disaster
On the latest episode of ARK's "The Brainstorm" podcast, Chief Futurist Brett Winton didn't mince words about what Apple's Google dependence really signals. According to Winton, the iPhone maker is "floundering," and this partnership exposes Apple's inability to keep pace in the AI arms race.
"I think Apple's in huge, hairy trouble," Winton said bluntly. His argument hinges on a fascinating economic reversal that's happened between these two companies.
Here's the thing: Google has historically paid Apple an estimated $20 billion per year to remain the default search engine on iOS devices. That's been a beautiful arrangement for Apple—billions in essentially free money for doing nothing except maintaining the status quo. But now the tables have turned in a revealing way.
Under the new AI arrangement, Apple must pay Google approximately $1 billion annually for access to Gemini's intelligence capabilities. Do the math, and you get a striking picture: "They're net losing $21 billion a year on people trying to find information through their system," Winton noted. That's not exactly the kind of margin story Apple investors are used to hearing.
Beyond Money: A Culture Problem
The financial concerns are just the surface layer. Winton's critique cuts deeper into Apple's product development culture, arguing that the company has fundamentally "lost its ability to curate" and doesn't have the internal talent necessary to build a frontier foundation model.
Simply throwing money at Google won't fix Apple's underlying product problems, according to Winton. He pointed to the current "Apple Intelligence" features as evidence—features that are reportedly so problematic that users are actively turning them off.
Winton shared that even his own family members have disabled these features because they keep accidentally triggering unwanted actions. When your product is annoying enough that people prefer to disable it rather than use it, that's not a great sign for your AI strategy.




