Apple and Money: Does Tim Cook Himself Not Know How to Profit from AI?

On a recent call with investors, a Morgan Stanley analyst asked what people have been whispering about behind the scenes: how exactly does Apple plan to recoup the billions it is pouring into artificial intelligence? Tim Cook's answer was predictably vague and, frankly, empty. While Microsoft and Google aggressively sell subscriptions to their "copilots," Apple sticks to the old school. Cook hints that AI is simply a feature that will make you buy a new iPhone. No paid Apple Intelligence tiers (for now), just hope for a hardware upgrade supercycle. It is a classic Cupertino strategy, but given the cost of AI compute, investors are starting to eye the earnings reports nervously.

AI-processed from TechCrunch; edited by Hamidun News
Apple and Money: Does Tim Cook Himself Not Know How to Profit from AI?
Source: TechCrunch. Collage: Hamidun News.
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Let's be honest: we all saw this question coming. On the latest investor call, one brave soul from Morgan Stanley decided to break corporate etiquette and ask point-blank: "Tim, where's the money?" More precisely, the analyst asked how Apple plans to monetize its colossal investments in Apple Intelligence. The answer that followed can be summed up in one phrase: "We haven't decided yet, but hang in there."

The situation looks comical next to the competition. Satya Nadella has long been counting profit from Copilot subscriptions. Google is building Gemini into everything and charging for it through Google One. Even OpenAI, though a startup (a gigantic one), has a clear business model: 20 dollars a month, and the magic is yours. Apple, meanwhile, bursts into the AI race with a product that is... free. Well, almost.

Cook, in his trademark diplomatic dodge, made it clear that for Apple monetization right now is not the direct sale of services. It is the good old sale of hardware. Cupertino's logic is disarmingly simple: want a smart Siri and emoji generation? Great, ditch your iPhone 14 and buy a 15 Pro, or wait for the 16. Apple Intelligence runs only on A17 Pro chips and newer (plus the M series in Macs). In other words, AI here is not a product but a marketing hook for upgrading.

But there is a problem here that Tim Cook carefully sidesteps. AI infrastructure costs are not iCloud costs. They are an entirely different order of magnitude. Training models and, more importantly, inference (processing user requests) demand enormous computing power. Apple is building its secure Private Cloud Compute servers, buying chips, spending energy. And while Microsoft passes these costs on to subscribers, Apple is currently subsidizing every one of your queries to a neural network out of its own pocket, hoping the margin from selling the smartphone will cover it.

Historically, Apple has always been brilliant at selling us an ecosystem. But AI is the first case in a long time where a technology demands constant, minute-by-minute spending on every user AFTER the device is purchased. Hardware is sold once, but servers run all the time. Will the "iPhone tax" be enough to pay for the banquet?

Most likely, we are watching only the first act of the play. Cook's job right now is not to scare users off with paid subscriptions and to catch up with the market on features. But don't be surprised if in a year or a year and a half, when Apple Intelligence exits "beta" status (which, by the way, will not even be fully available when the new iPhones go on sale), we see the announcement of Apple Intelligence+. Because even Apple's money is not infinite, and Morgan Stanley's investors are very good at counting.

The bottom line: Apple is going all-in on the bet that AI will drive hardware sales rather than become a separate service. It is a risky game against a market where everyone else has already moved to a subscription model. If the iPhone 16 does not post record sales, Cook will have to come up with a plan B in a hurry.

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Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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