Tim Cook to Step Down Sept. 1, Apple Taps Insider John Ternus as AI Pressure Mounts

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La Revue TechEnglishTim Cook to Step Down Sept. 1, Apple Taps Insider John Ternus...
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Apple is about to change captains at the worst possible moment to look anything but steady: the generative AI boom. Tim Cook will hand over the CEO job on Sept. 1, and Apple has picked longtime hardware chief John Ternus to take over one of the most profitable companies on the planet, one that critics say is late to the AI party.

The move caught even seasoned Apple-watchers off guard. Cook leaves behind a $3.66 trillion company and a money machine that pulled in $416 billion in revenue and $112 billion in profit in 2025. But Wall Street is increasingly focused on what Apple hasn’t done: ship a Siri overhaul and a clear AI strategy that matches rivals like Google, Microsoft, and Meta.

Cook exits with Apple printing cash, and questions about what’s next

By the numbers, Cook’s Apple is a juggernaut. The company says it generated $416 billion in revenue and $112 billion in net income in 2025, rare air even among Big Tech’s heavyweights.

Apple’s workforce has ballooned to about 166,000 employees worldwide, roughly triple what it was when Cook took over in 2011. Under his watch, revenue and profit quadrupled, and Apple’s market value multiplied roughly tenfold.

Cook’s signature wasn’t flashy product reinvention so much as relentless execution. The iPhone, introduced before he became CEO, turned into a global mass-market product powered by a tightly managed supply chain and a premium pricing strategy that reset what consumers would pay for a top-tier phone. Apple crossed the $1,000 iPhone threshold in 2017 with the iPhone X, a price point that quickly became normal across the industry.

The tradeoff: Apple became more optimized and more profitable, but less synonymous with surprise breakthroughs. That’s a fine formula, until the industry shifts under your feet. Generative AI is that shift.

Meet John Ternus: Apple’s hardware engineer turned CEO

Ternus, who joined Apple in 2001, has run the company’s hardware engineering organization, placing him at the center of the iPhone, Mac, and other flagship devices. Apple is betting that a leader who knows how products get built and shipped can steer the company through its next platform transition.

His profile contrasts with Cook’s reputation as a supply-chain master and financial strategist. In plain terms, Apple is choosing an operator, someone expected to deliver features, not just narrate a vision.

Cook isn’t vanishing. Apple says he’ll become executive chair, replacing longtime board chair Art Levinson. That kind of continuity matters at Apple, where stability is practically part of the brand. Still, the abruptness of the announcement suggests internal urgency.

Ternus inherits a company so large that every strategic move gets priced in instantly. His challenge isn’t simply to “do AI.” It’s to do AI in a way that doesn’t degrade the iPhone experience, fracture Apple’s ecosystem, or make the company look like it’s borrowing innovation instead of leading it.

Apple’s AI plan leans on OpenAI, and a reported $1 billion Google deal

Apple’s generative AI lag has become a product problem, not just a talking point. Siri’s long-promised revamp has drawn criticism, and reports suggest the delays have been a sore spot inside the company.

Apple’s answer is “Apple Intelligence,” a suite of AI features designed to live inside everyday tasks, smarter assistants, photo editing tools, and automations, rather than a headline-grabbing race to build the biggest model. The company has partnered with OpenAI to bring ChatGPT into parts of the experience.

Then came another signal of how serious the gap has become: an announced deal valued around $1 billion with Google to use its Gemini model in the next generation of Siri and Apple Intelligence. For a company that has long sold itself on controlling the full stack, leaning this heavily on outside AI is a notable shift.

The upside is speed. The risk is dependence, and direct comparison. If consumers start to see Apple as “catching up” while competitors are “inventing,” that perception could stick.

Wall Street is already voting: Apple stock trails the market

Investors have been sending a message. Apple shares are down about 14% so far this year, while the S&P 500 is up roughly 8% over the same period.

That gap doesn’t prove Apple is in trouble, but it reflects what the market is rewarding right now: a credible AI growth story. Analysts also point out that, unlike cloud-first rivals that can sell AI computing and model access directly, Apple’s path to monetizing generative AI is less obvious.

Apple still commands a premium valuation, around 27.7 times forward earnings, according to the article, but that premium gets harder to defend if growth slows and AI doesn’t open new revenue streams.

There’s also a talent issue. If Apple can’t offer top AI researchers and engineers a compelling platform to build on, it risks losing them to companies like Meta, OpenAI, or Anthropic, firms that are spending aggressively and moving fast.

Three problems Ternus can’t dodge: AI spending, China risk, and services scrutiny

First: investment. The article notes that Big Tech poured more than $300 billion into AI infrastructure in 2025 while Apple stood out for restraint. Apple’s capital expenditures fell 19% year over year to $2.37 billion in the first quarter of its fiscal year ending in late December 2025. That thrift protects margins, but it can cost time in an AI arms race.

Second: manufacturing and geopolitics. Cook built Apple’s modern supply chain with China as both factory floor and crucial market. Rising U.S.-China tensions have pushed Apple to diversify production toward India and Vietnam. For Ternus, a hardware veteran, keeping production stable without blowing up costs, or missing launch windows, will be a core test.

Third: services and regulation. Apple has built a lucrative services business and a tightly controlled App Store ecosystem, but that control draws antitrust scrutiny and political pressure in the U.S. and abroad. If AI becomes the new layer that mediates how people find apps, shop, and communicate, the fight over who controls access, and who takes a cut, will only intensify.

Apple also carries recent scars: a high-profile car project that never shipped and a Siri roadmap that slipped. Ternus doesn’t need to promise a revolution every six months. He does need to prove Apple can still hit the turn when the road changes, without breaking the profit engine Cook leaves behind.

Key Takeaways

  • Tim Cook will step down as CEO on September 1 and become executive chairman.
  • John Ternus, an Apple insider since 2001, will take over the company.
  • Apple remains extremely profitable, with $416 billion in revenue and $112 billion in net profit in 2025.
  • Falling behind in AI is pushing Apple to rely on OpenAI and on a roughly $1 billion deal with Google.
  • Markets are ramping up the pressure, with the stock down 14% since the start of the year.

Frequently Asked Questions

When will Tim Cook step down as Apple CEO?

Apple announced that Tim Cook will hand over the reins on September 1. He will then move into a more behind-the-scenes role as executive chairman.

Who is John Ternus, the designated successor?

John Ternus is an internal executive who has been at Apple since 2001. He served as vice president in charge of hardware products, at the center of developing devices like the iPhone and the Mac.

Why is Apple seen as behind in generative AI?

Apple is viewed as having missed the start of the generative AI wave, with notable delays in Siri’s evolution. This has led the company to speed up progress through technology partnerships.

What AI partnerships has Apple put in place?

Apple relies on OpenAI for certain features in its Apple Intelligence offering and has struck an approximately $1 billion deal with Google to use Gemini in the next generation of Siri and Apple Intelligence.

What are the main risks for Apple if AI doesn’t accelerate?

Analysts cite increased investor pressure, the risk of a valuation discount versus competitors, potential feature lag behind Android, and challenges retaining AI-specialized talent.

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