Apple simply named a brand new AI chief with Google and Microsoft experience, as John Giannandrea steps down

In a rigorously worded announcement on Monday, Apple mentioned John Giannandrea, who has been the firm’s AI chief since 2018, is “stepping down” to, effectively, not work at Apple anymore. He’ll stick round via spring as an advisor.

His substitute is Amar Subramanya, a extremely regarded Microsoft govt who spent 16 years at Google, most just lately main engineering for the Gemini Assistant. It’s a savvy rent, on condition that Subramanya is aware of the competitors intimately.

The transfer is being characterised as a shake-up. It was seemingly inevitable looking back. Apple Intelligence, the firm’s reply to the ChatGPT second, has been stumbling since its October 2024 launch. Critiques have ranged from “underwhelming” to outright alarmed.

Its first months had been a few of the roughest. A notification abstract function meant to condense a number of alerts into digestible snippets generated a sequence of embarrassing, unfaithful headlines in late 2024 and early 2025. Amongst different missteps, the BBC complained twice after Apple Intelligence falsely reported that Luigi Mangione, the man accused of killing UnitedHealthcare CEO Brian Thompson, had shot himself (he hadn’t) and {that a} darts participant, Luke Littler, gained a championship before the last even began.

Then there was Siri’s promised overhaul, which grew to become a black eye for Apple.

A Bloomberg investigation revealed in Might revealed the depths of Apple’s AI struggles. As an example, when Craig Federighi, Apple’s software program chief, examined the new Siri on his personal cellphone simply weeks before its deliberate launch in April, he was dismayed to discover that lots of the options the firm had been touting didn’t work. The launch was delayed indefinitely, triggering class-action lawsuits from iPhone 16 patrons who’d been promised an AI-powered assistant.

By that time, Giannandrea had already been sidelined, in accordance to Bloomberg. The information group reported that Tim Prepare dinner had stripped Siri from Giannandrea’s oversight completely again in March, handing it to Imaginative and prescient Professional creator Mike Rockwell. Apple eliminated its secretive robotics division from Giannandrea’s management, too.

Bloomberg’s investigation painted an image of organizational dysfunction, with weak communication between AI and advertising groups, funds misalignments, and a management disaster extreme sufficient that some staff had taken to mockingly calling Giannandrea’s group “AI/MLess.” The report additionally documented an exodus of AI researchers to rivals, together with OpenAI, Google, and Meta.

Apple is reportedly now leaning on Google’s Gemini to energy the subsequent model of Siri, an astonishing and likewise, presumably, humbling twist contemplating the intense rivalry between the two firms that dates again greater than 15 years, throughout cell working programs, app shops, browsers, maps, cloud companies, good dwelling units, and now AI.

Giannandrea got here to Apple from Google, the place he ran Machine Intelligence and Search. At Apple, he oversaw the AI technique, machine studying infrastructure, and Siri improvement.

Now Subramanya inherits these duties, reporting to Federighi with a transparent mandate to assist Apple catch up in AI.

It’s an attention-grabbing second for the firm. Whereas rivals have been pouring billions of {dollars} into large AI information facilities, Apple has targeted on processing AI duties instantly on customers’ units utilizing its customized Apple Silicon chips, a privacy-first method that avoids gathering consumer information. (When extra complicated requests require cloud processing, Apple routes them via Personal Cloud Compute, servers that promise to course of information briefly and delete it instantly.)

Whether or not that philosophy pays off or whether or not it has completely left Apple behind is an excellent query. Apple’s method comes with clear trade-offs. Amongst them, on-device fashions are smaller and fewer succesful than the large fashions working in rivals’ information facilities, and Apple’s reluctance to acquire consumer information has left its researchers coaching fashions on licensed and artificial information relatively than the big troves of real-world information that gas its rivals’ programs.