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Tim Cook's legacy hinges on Apple's AI bet

For better or worse, Tim Cook's legacy is likely to be determined by something we don't really know the answer to yet: the company's bet to build its AI strategy partly around other companies' models. Why it matters: In the short term, the move could save substantial sums compared with building and operating a frontier-model business of its own, but it's left Apple dependent on Google for some of…

Tim Cook's legacy hinges on Apple's AI bet

Tim Cook's legacy will likely hinge on Apple's decision to build its AI strategy in part around other companies' models. This approach has both advantages and disadvantages for the tech giant. In the short term, outsourcing AI development could save Apple considerable costs compared to building and running its own frontier-model business. However, this reliance on models from competitors, such as Google, leaves Apple somewhat dependent on external AI capabilities.

Since John Ternus officially became Apple's CEO, much of the analysis of Cook's tenure has centered on his impressive record. Under Cook's leadership, Apple's annual revenue has more than quadrupled and its market capitalization has grown to over $4 trillion. Apple has also transformed into a services powerhouse, enticing millions of iPhone and Mac users to spend billions more on Apple TV+, Apple News, iCloud, and other subscription services.

On the downside, Apple's car project was scaled back and then abandoned during Cook's tenure, and the Vision Pro has struggled to find a mass market, existing primarily as a niche product for VR enthusiasts.

Looking back 10 years from now, Cook's legacy may be judged more on Apple's AI strategy than any of the other aspects of his leadership. If, 10 years from now, AI models become a commodity, Cook might be seen as a visionary for avoiding the significant investments made by other AI companies like Google, Meta, Microsoft, OpenAI, and Anthropic in model development and infrastructure.

The true test for Cook will be how Apple's AI strategy plays out in the future, especially if successful AI companies leverage their work into hardware platforms.

Written by urgent.news from Axios's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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