The AI Race: Are Big Tech Companies Spending More for Less? (2026)

The AI Arms Race: Are Big Tech Giants Just Running to Stay in Place?

There’s a saying in tech: ‘If you’re not moving forward, you’re falling behind.’ Nowhere is this more evident than in the current AI arms race among Big Tech giants like Google, Amazon, Microsoft, and Meta. As earnings season kicks off, the spotlight isn’t on profits or revenues—it’s on capital expenditures, or capex, specifically how much these companies are pouring into AI data centers. But here’s the twist: what if all this spending is just keeping them in the same spot?

The Capex Conundrum

Big Tech is set to spend over $700 billion this year on AI infrastructure. That’s a staggering number, but what’s even more fascinating is the why behind it. Personally, I think this isn’t just about innovation—it’s about survival. No one wants to be the company that blinked in the AI race. But what many people don’t realize is that a huge chunk of this spending isn’t driving real growth; it’s just covering inflated costs.

Memory chip prices have surged, construction materials are harder to come by, and skilled labor is in short supply. Morgan Stanley estimates that the cost of building AI capacity has jumped by 20%. For example, a Nvidia-based setup that once cost $29 billion per gigawatt now costs $35 billion. This raises a deeper question: are these companies spending more just to maintain their current position?

The Inflation Illusion

Brad Gastwirth, head of research at Circular Technology, puts it bluntly: ‘About 20% to 30% of the next increase in AI capex will reflect inflation, while 70% to 80% will still represent real expansion.’ In my opinion, this distinction is crucial. Investors are watching capex numbers like hawks, but they’re missing the nuance. If you take a step back and think about it, soaring memory prices alone could explain 45% of the growth in capex this year.

What this really suggests is that Big Tech’s spending spree might not be as transformative as it seems. Sure, they’re building more capacity, but a lot of that money is just covering higher costs. It’s like running on a treadmill—you’re exerting a lot of energy, but you’re not actually moving forward.

The Psychological Game

One thing that immediately stands out is the psychological dimension of this race. No company wants to be seen as cautious while their rivals are doubling down. This creates a vicious cycle: one company increases spending, others follow suit, and before you know it, everyone’s spending more just to keep up.

From my perspective, this is less about strategic foresight and more about fear of missing out. What makes this particularly fascinating is how it mirrors human behavior. We’ve all been in situations where we’ve spent more than we should just to keep up with the Joneses. Big Tech is doing the same, but the stakes are in the hundreds of billions.

The Future: A New Normal?

Cantor Fitzgerald predicts that capex estimates for 2027 will skyrocket, with Google, Amazon, and Meta spending over $200 billion each. But here’s the kicker: will this spending translate into meaningful advancements, or will it just be a new baseline?

A detail that I find especially interesting is how this race is reshaping the tech landscape. Smaller players are being left behind, and the barriers to entry are higher than ever. If you’re not a Big Tech giant with deep pockets, you’re out of the game. This raises a broader question: is this level of spending sustainable, or are we heading toward a bubble?

The Bottom Line

In my opinion, the AI arms race is as much about perception as it is about progress. Big Tech companies are spending more, but a significant portion of that spending is just covering higher costs. What many people don’t realize is that this could lead to a new normal where massive capex becomes the baseline, not the exception.

If you take a step back and think about it, this isn’t just about AI—it’s about the future of innovation itself. Are we entering an era where only the biggest players can afford to compete? And if so, what does that mean for the rest of the tech ecosystem?

Personally, I think this is a pivotal moment. The companies that can navigate this capex spiral without losing sight of genuine innovation will be the ones that truly move forward. The rest? They might just be running to stay in place.

The AI Race: Are Big Tech Companies Spending More for Less? (2026)

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