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AI, Implementation, and the Infrastructure Revolution

Wednesday, July 15, 2026
5 min read
AI, Implementation, and the Infrastructure Revolution

AI is completely reshaping how businesses operate right now. And Canadian billionaire Kevin O’Leary sees massive opportunities bubbling up for young professionals in this space.

He recently talked about what he’d do if he were twenty-five again. Forget trying to chase the biggest tech giants. He said he’d focus on two areas that are just going to explode as AI gets everywhere.

First, helping small businesses actually use it. That’s where he sees the real gap.

He expects AI growth to be exponential. “I think AI growth is going to be exponential,” he put it. Instead of diving into building complex models himself, he thinks the opportunity lies in implementation .

He wants to help those smaller companies the ones with fewer than five hundred employees figure out how to actually plug AI tools into their daily work.

There’s a huge problem there. Lots of small businesses want to use AI but they don't know where to start, or how to use it right. He pointed out that there will be a massive crowd wanting to use these tools, people willing to pay to fix that specific pain point. It’s not just about giving advice; O’Leary thinks the real money is in the execution . In the implementation and execution part of putting AI into practice.

He actually used the term “implementation and execution” instead of just traditional consulting. That shifts the focus entirely.

Meanwhile, there’s this massive physical layer that supports all of it. He hammered home that data centers are going to be a huge demand area. It’s the bottleneck for everything.

The biggest headache with AI? Data centers. Real estate development is tied up in that mess.

O’Leary noted that the current pace of building these facilities just isn't keeping up. The demand, he insisted, is insatiable.

He’s already backed some big moves here. Reports show he’s put money into several large data center projects. Think about the planned C$70 billion industrial park in Alberta aiming for 7.5 gigawatts of computing power. Or that US$100 billion project they’re looking at in Utah. But even those massive builds are raising questions about timelines and how they affect local communities.

This connects directly to the infrastructure side. As more companies jump on AI, the need for the supporting structure skyrockets. Goldman Sachs research suggests something staggering: data center electricity demand could jump by 165 percent before the end of the decade just because of AI needs. That’s a huge number.

Big players are already throwing billions at this infrastructure work. Amazon, Microsoft, Google they’ve committed massive sums just to expand their data center capacity. And Morgan Stanley estimates that spending from these tech giants on data centers and related hardware is pushing toward $400 billion annually. It's a whole ecosystem demanding serious power.

So O’Leary’s argument comes down to this: both helping businesses adopt AI and building the physical infrastructure for it support the entire industry. They aren't focusing on creating the models themselves; they are supporting the mechanism. It’s about making sure the foundation can handle the flood.

Written by Gree News Team — Senior Editorial Board

Gree News Team covers international news and global affairs at Gree News. Our collective of senior editors is dedicated to providing independent, accurate, and responsible journalism for a global audience.

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