Apple Accused of Lagging Behind in AI, but Cook's "Winning Without Fighting" Strategy Is Being Reassessed by Wall Street
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Apple CEO Tim Cook is about to step down, and controversies surrounding his tenure are surfacing.
Critics focus on Apple’s obvious lag in the AI field, questioning its delay. But another viewpoint is gaining resonance on Wall Street: Cook may never have intended to participate in an "involution-style" AI race, instead choosing to preserve the key value node of the iPhone and use cash to retain future options.
Currently, AI large model capabilities are nearly balanced. AI may ultimately become a highly fragmented industry, where participants find it hard to earn excess profits.
This year, Apple’s iPhone shipments reached a record 247 million units, accounting for 43% of global smartphone revenue share. Meanwhile, the company has accumulated $145 billion in cash and securities on its books, which before the AI competitive landscape becomes clear, is likely the most valuable bargaining chip.
The Battle of Bottlenecks: The iPhone as a Key Value Node
The underlying logic of Cook’s strategy is a deep understanding of "value chain bottlenecks".
In most value chains, companies that control key nodes tend to reap rich profits. For example, TSMC produces about 90% of the world’s top chips with a gross margin of about 60%, and both Apple and Nvidia are its paying clients.
The smartphone is the most valuable bottleneck in the modern economy. In Q3 2025, Apple captured 43% of global smartphone revenue with an average selling price of $870, while the industry average was only $351.
This advantage also extends to other product lines—technology media Engadget commented while reviewing the new MacBook Neo that the product "makes all Windows PCs below $600 look inferior". Brand research firm Interbrand has ranked Apple as the world’s most valuable brand for 13 consecutive years.
Microsoft’s Lesson: Importance Does Not Equal Dominance
The decision made by former Microsoft CEO Steve Ballmer 17 years ago is a key reference for understanding Cook’s restraint logic.
In 2009, Ballmer launched Bing, citing "search is so important, it cannot be given away," and leveraged Microsoft’s financial strength to catch up. As a result, Bing amassed a $5.5 billion loss in just over two years after launch. Fifteen years later, Bing has only around 5% of global search market share, while Google still holds about 90%.
Ballmer’s costs were not limited to the balance sheet. This catch-up battle also caused Microsoft to lose focus on mobile devices and tablets, the arenas that ultimately reshaped the industry landscape.
Search is important for the entire industry, but for Microsoft, it was a field it could never dominate—what was paid was money, what was lost was more precious strategic focus.
Near Parity: AI May Be a Battlefield No One Can Dominate
Technical realities support Cook’s calculations. According to Epoch AI’s capability index, the average lag between frontier open-weight models and closed-source models is about three months, and this gap can sometimes disappear entirely.
At the top of the Chatbot Arena ranking, Anthropic, xAI under Musk, Google under Alphabet, and OpenAI—four US labs—only differ by a few percentage points.
In a nearly balanced landscape, AI might ultimately be a field valuable for the entire industry but hard for any single player to build dominance—a highly fragmented and difficult-to-sustain field for profitability.
$145 Billion: A Strategic Option That Can Be Flexibly Exercised
Cook’s restraint is not inactivity, but accumulation of $145 billion in cash and securities while maintaining existing advantages.
This capital is itself a strategic option: If AI truly explodes, Apple has the financial strength to directly acquire a frontier lab; if the AI craze turns out to be a bubble, no company is better positioned than Apple to take the lead after the bubble bursts.
Apple demonstrates the viability of this "low-cost" strategy—paying Google about $1 billion annually for Gemini system integration; while Google pays Apple roughly 20 times that amount in exchange for being the default search engine on iPhone.
The stark contrast in willingness to pay between the two companies is an unmistakable signal: In their judgment, the current cooperative value of the iPhone far exceeds that of AI models.
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