Apple is developing what’s called “on-device AI” which means some AI tasks – like summarizing a text, editing a photo, or responding to a voice command – will be handled directly on your phone, off-line, instead of being sent to the cloud. 

With the incredible sums being spent to build AI data centers recently, many of us investors are watching the markets to see what factors could influence AI infrastructure spending in the future. After reading about Apple’s plans, I found myself wondering if their rollout of on-device AI might be the kind of issue that could burst the bubble. After all, if you can do AI off-line, why build data centers?  

But here’s the key point many headlines miss: Apple is not eliminating the cloud. It’s using a hybrid model.  Simple tasks will be handled on your iPhone, and complex tasks will still be handled in large data centers. 

Think of it like doing quick math in your head but using a calculator for harder problems. The calculator hasn’t gone away – you just use it more selectively. 

Most of the heavy lifting in AI still happens in data centers, especially training AI models (teaching them how to work), running complex queries, and supporting enterprise and business applications. 

Even if some tasks move to your phone, the overall demand for AI is exploding. That’s the bigger story. Here are three reasons data centers may be impacted: 

1) AI Use Is Growing Faster Than the Shift to Devices 

AI is being added to everything – phones, cars, healthcare, finance, and more. Even if each device uses the cloud a little less, the number of AI-powered applications is growing so fast that total demand keeps rising. 

2) The Hardest Work Still Happens in Data Centers 

Training AI models requires enormous computing power – far beyond what a phone can handle. Companies like Microsoft, Amazon, and Google are still spending heavily to build out data centers for this purpose.  This is where demand remains. 

3) Businesses Are Driving the Biggest Growth 

Consumer AI (like what’s on your phone) is only part of the story. The larger opportunity is in business use: 

• Companies automating customer service 
• Banks analyzing risk 
• Healthcare systems processing data 

These applications rely heavily on centralized computing, suggesting more, not less, need for data centers. 

What This Means for You 

Rather than a threat, Apple’s move may actually expand the AI market. 

Technology rarely follows an “either/or” path. Instead, it expands. 

• Personal computers didn’t eliminate mainframes 
• Smartphones didn’t eliminate servers 
• Streaming didn’t eliminate the internet backbone 

Each new layer increased total demand for computing.  AI appears to be following the same pattern. 

Bottom Line 

Apple’s push into on-device AI is real – and important. It will shift where some computing happens and could slightly reduce reliance on the cloud for simple tasks. 

But it won’t eliminate the need for data centers. In fact, by making AI faster, cheaper, and more accessible, it may encourage broader adoption – leading to even greater overall demand for computing infrastructure over time. 

For investors, that means this is not a story of winners versus losers across the entire sector. It’s a story of how the opportunity is evolving. 

And for now, the data center investment continues. 

Disclosure: Certain client accounts managed by Shadowridge Asset Management may hold positions in Apple Inc. as part of a broader investment strategy. Holdings are subject to change and should not be considered a recommendation to buy or sell any security.      

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