While most of Big Tech is in an AI spending arms race, Apple $AAPL ( ▲ 0.54% ) is taking a noticeably different route. In the latest quarter, its capital expenditures actually declined year over year, making it the only major tech giant not ramping up infrastructure spending at full throttle.
That stands in sharp contrast to the rest of the hyperscaler crowd, which is opening the financial floodgates.
Everyone Else Is Writing Massive Checks
Amazon $AMZN ( ▼ 1.56% ) , Alphabet $GOOGL ( ▼ 2.08% ) , Meta $META ( ▲ 1.46% ) , and Microsoft $MSFT ( ▲ 1.42% ) all posted record spending on property and equipment last quarter, much of it tied to AI chips and data centers. Their forward guidance turned even more heads.
Amazon expects 2026 capex to hit about $200 billion. Alphabet is guiding for roughly $175 billion to $185 billion. Meta sees spending between $115 billion and $135 billion. Microsoft has not issued formal guidance, but Wall Street already expects around $114 billion for the calendar year, and that may prove conservative.
Those eye-popping figures have, in many cases, weighed on stocks as investors grapple with just how expensive the AI buildout is becoming.
Apple’s Asset-Light AI Strategy
Apple $AAPL, meanwhile, is embracing AI without fully committing to the same infrastructure-heavy playbook. Rather than building massive in-house data center capacity, the company is leaning on a hybrid model that mixes its own systems with third-party providers. That keeps a large chunk of AI-related infrastructure spending off its balance sheet.
This approach is also visible in its decision to partner with Alphabet $GOOGL to use Gemini for the next generation of Siri and Apple Intelligence. Instead of pouring tens of billions into developing and running its own frontier models, Apple is effectively renting top-tier AI capabilities.
Reports suggest that deal costs Apple around $1 billion per year, a rounding error compared with what rivals are spending to build and operate their own AI stacks.
Less Control, Less Risk
The trade-off is clear. Apple does not fully own the AI engines that many believe will power the next wave of tech innovation. But it also avoids taking on the massive financial risk tied to building out hyperscale AI infrastructure.
If AI delivers an economic boom on the scale some predict, Apple may look overly cautious. If progress is slower or returns disappoint, Apple could end up looking like the most disciplined spender in Silicon Valley.
For now, while others are racing to build the factories of the AI era, Apple is content to lease the tools and keep its balance sheet lighter.