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The Tech Diff > Blog > Technology > “Apple Appoints New AI Chief with Google, Microsoft Experience”
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“Apple Appoints New AI Chief with Google, Microsoft Experience”

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Last updated: December 2, 2025 2:02 am
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Apple’s AI Leadership Shake-up: A New Era Begins

In a carefully worded announcement on Monday, Apple revealed that John Giannandrea, the company’s AI chief since 2018, is “stepping down” and will no longer work at Apple. He will continue to serve as an advisor until spring.

Contents
Apple’s AI Leadership Shake-up: A New Era BeginsNew Appointment: Amar Subramanya Takes the HelmA Necessary Shake-up Amid Poor PerformancesThe Struggles of Siri’s OverhaulOrganizational Challenges and External CompetitionThe Legacy of John GiannandreaFuture Directions: Apple’s Unique AI Approach

New Appointment: Amar Subramanya Takes the Helm

The tech giant has appointed Amar Subramanya, a highly regarded Microsoft executive with a wealth of experience from his 16 years at Google, most recently leading engineering for the Gemini Assistant. This strategic hire signifies Apple’s recognition of the pressing need to optimize its AI initiatives.

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A Necessary Shake-up Amid Poor Performances

This leadership transition is being described as a shake-up, which seems inevitable in retrospect. Apple Intelligence, a critical venture launched in October 2024, has faced significant criticism. Early reviews have ranged from “underwhelming” to outright alarmed. The first few months have been riddled with challenges, marred by instances of erroneous reporting.

For example, a notification summary feature intended to distill alerts into easily digestible bites made headlines for generating misleading information. Notable misfires included a statement from the BBC regarding false claims about alleged criminal activities and sports events. These missteps have tainted Apple’s reputation in the AI arena.

The Struggles of Siri’s Overhaul

Furthermore, the anticipated overhaul of Siri surfaced as a significant disappointment for Apple. According to a Bloomberg investigation published in May, the new features expected to be part of Siri’s upgrade failed to meet expectations during internal testing, which subsequently led to a delayed launch. The situation escalated, resulting in class-action lawsuits from disgruntled iPhone 16 buyers who anticipated an AI-powered assistant.

Amid these disruptions, Giannandrea had already been marginalized, with reports indicating that Tim Cook reallocated oversight of Siri and other AI components to different leaders within the company.

Organizational Challenges and External Competition

Bloomberg’s report elucidated a troubling narrative of organizational dysfunction, characterized by poor communication between AI and marketing teams, budget discrepancies, and a leadership crisis severe enough that some employees mockingly referred to Giannandrea’s team as “AI/MLess.” Such challenges compelled several prominent AI researchers to seek opportunities at rival companies, including OpenAI and Meta.

Interestingly, Apple is now reportedly considering Google’s Gemini to enhance the next version of Siri. This choice stands out as a remarkable and humbling twist, especially given the intense rivalry that exists between Apple and Google across various tech sectors for over 15 years.

The Legacy of John Giannandrea

John Giannandrea, who transitioned to Apple from Google, was responsible for the overarching AI strategy, machine learning infrastructure, and Siri’s development. With his departure, Subramanya has inherited these significant responsibilities, now reporting to software chief Craig Federighi, with a clear mandate to help Apple regain its footing in the AI domain.

Future Directions: Apple’s Unique AI Approach

This is a crucial moment for Apple. While competitors have been pouring substantial investments into developing expansive AI data centers, Apple has opted for an on-device processing model utilizing its custom Apple Silicon chips. This approach prioritizes user privacy by avoiding excessive data collection. However, it raises questions about whether this strategy can effectively keep pace with rivals leveraging vast repositories of real-world data to fuel their AI systems.

Ultimately, the effectiveness of Apple’s privacy-centric philosophy versus a data-driven approach remains to be seen. Apple’s commitment to processing tasks directly on devices may yield trade-offs, producing smaller and less capable models compared to competition, which could leave the tech giant lagging in the fast-evolving AI landscape.

For further reading on this evolving story, check our detailed coverage here.

Image Credit: techcrunch.com

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