Apple CEO John Ternus is pressuring software chief Craig Federighi to accelerate the company's AI roadmap beyond incremental improvements to Siri. The move signals mounting frustration with Apple's pace in AI development as competitors advance rapidly. Meanwhile, Vision Pro leader Mike Rockwell may leave his Siri AI role.

Apple CEO Demands Faster AI Progress

Apple CEO John Ternus has pressured senior vice president of software engineering Craig Federighi to accelerate AI roadmap development beyond incremental improvements to Siri, according to Bloomberg's Mark Gurman

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. In a closed-door meeting, Ternus expressed frustration with what he perceives as reluctance to embrace AI with the same urgency as competitors

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. This push for speed marks a significant shift in Apple's AI development strategy as the company faces mounting pressure from rivals like Meta, Google, OpenAI, and Anthropic

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Source: PYMNTS

Source: PYMNTS

Craig Federighi's Cautious Approach Creates Tension

Craig Federighi has earned a reputation as an AI skeptic, voicing concerns about the technology's privacy and security concerns, along with societal and employment implications

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. His hands-on management style leaves little room for competing ideas to gain traction, with some employees feeling they have limited influence over product direction

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. Federighi is known for vigorously debating opposing viewpoints using his command of technical details to push back against proposals he disagrees with. Additionally, his planning typically spans only 12-18 months, contrasting sharply with the years-long roadmaps used in Apple software engineering hardware divisions

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Source: 9to5Mac

Source: 9to5Mac

Mike Rockwell Considers Departure Amid Leadership Changes

Mike Rockwell, who led Vision Pro development before taking the Siri AI reins, is seriously considering leaving his role as vice president of Siri engineering or departing Apple altogether next year

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. Rockwell has reportedly been frustrated about not receiving enough credit for fixing Apple's digital assistant

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. If he leaves, his Siri AI work could transfer to Amar Subramanya, a Google veteran hired last year to strengthen Apple AI efforts, and Sebastien Marineau, a Federighi deputy

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. Such leadership changes would represent a major blow given Rockwell's role in bringing the new Siri to market after an embarrassing two-year delay

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Agentic AI Capabilities Emerge as Priority

Siri's AI upgrade that arrived with iOS 27 finally delivered many promises Apple made in 2024, yet remains more limited than competing AI systems

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. Users still cannot ask Siri to execute lengthy agentic AI capabilities in the background

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. Apple wants to make Siri more agentic, with Ternus calling these capabilities "promising" during a recent earnings call

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. This focus on agentic AI capabilities represents Apple's attempt to catch up with competitors who have already deployed more advanced autonomous AI features.

Apple Revamps Software Development Process for iOS 28

Apple is updating its software development process across major platforms for iOS 28 and other upcoming OS updates

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. The company is adjusting development cycles to allow 50% more time for coding, exploration and feature development, while reducing time spent on integration

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. Apple employees have responded positively to the change, indicating it creates more time for generating and exploring ideas before locking them in

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. However, questions remain about whether rushing the timeline for incorporating these ideas into operating systems will result in more bugs for users.

Enterprise AI Spending Reveals Broader Industry Pressure

The pressure on Apple AI development reflects broader enterprise AI trends. Among American enterprises with at least $1 billion in yearly revenue, 62% reported spending more than $10 million on new forms of enterprise AI in the previous 12 months, with median spending between $10 million and $25 million

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. This rapid adoption creates new cost realities, as usage-based AI expenses increase with greater worker reliance on the technology

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. Apple's internal AI restrictions and development challenges mirror concerns facing finance teams across industries about balancing AI utilization costs against productivity gains.

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