The current AI boom is built on a dangerous assumption: that AI will keep getting cheaper while replacing more people. 

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That assumption is already starting to crack. 

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The infrastructure behind AI is massively expensive and those costs are compounding. Servers refresh every few years. Data centers consume staggering amounts of power. Depreciation costs are accelerating. Right now, providers are absorbing much of that burden to drive adoption. 

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But subsidies do not last forever. 

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At some point, organizations will face a brutal question: 

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What happens when the cost of AI starts rivaling the cost of the labor it replaced? 

Many companies are aggressively flattening organizations and cutting management layers because the math currently looks irresistible. But they are treating today’s AI pricing as permanent economics rather than temporary market positioning. 

 

The danger is not AI itself. 

 

The danger is organizations redesigning themselves around a cost structure that may not exist five years from now. 

 

And when that moment arrives, many companies will realize they dismantled the very human infrastructure required to adapt when conditions changed. 

 

The next era of winners will not simply automate faster. 

 

They will understand where AI creates leverage and where human coordination, judgment, and leadership still create disproportionate value.