The Productivity Paradox in the AI Era: Not 10x Output, but 10x Profit for Shareholders

I have written and been interviewed about this phenomenon quite a bit. Whenever I said AI would replace employees, the almost knee-jerk reaction was: "There’s no need to lay people off, we’ll just leverage the technology to produce 10x more."

But that argument hits a simple economic reality: You cannot 10x market demand.

Producing 10 times more content, code, or products does not mean there is anyone in the market ready to buy them. Consequently, the 'profitability through technological efficiency' model is rapidly replacing the 'growth through hiring' model.

In the past, when a company hired employees, it was a signal to shareholders that the business was expanding. Today, to show higher profitability, it is far simpler to cut expenses, especially when new tools allow companies to do so without hurting revenue.

This article about monday.com illustrates the new equation in the clearest possible way: A company slashes 20% of its workforce. Thanks to efficiency and technology, it manages to maintain the same output and revenue. Profitability surges overnight, shareholders are pleased, and executive compensation doubles.

What is actually happening here?

• Ease of Cutting vs. Difficulty of Growth: Increasing sales through product innovation or market expansion is a hard, slow process that requires upfront investment. Cutting payroll expenses, on the other hand, delivers an immediate impact straight to the bottom line.

• Perceptual Shift in Capital Markets: Layoffs are no longer a warning sign of distress, but a signal of "aggressive efficiency."

• Executive Incentives: When compensation packages reward short-term profitability, shifting to lean, AI-backed teams becomes the obvious strategy.

The Management Irony: Where is the Loyalty? The very executives who sign off on these efficiency layoffs are often the ones who later complain that the younger generation "lacks loyalty" and constantly job-hops between companies. But why should employees be loyal to a company if the company shows no loyalty to them? These employees weren't let go for poor performance. They didn't fail; they did their jobs exceptionally well—they were simply sacrificed on the altar of bottom-line expansion.

The Employee Trap: Training Their Own Replacement The deepest paradox hits employees in their day-to-day work: employees who invest time learning, adopting AI tools, and embedding them into organizational workflows boost output with their own hands. The absurdity is that by building the blueprints, automations, and AI prompts, they are effectively training their own digital replacements- and paving the way for the next wave of layoffs.

Artificial intelligence is a powerful tool, but right now, its primary use across many companies isn't creating new value, it's enabling companies to part ways with employees while maintaining the same output.

Is this a necessary step to stay competitive, or a cynical exploitation of new tools at the expense of workers?

#AI #FutureOfWork #Strategy #MondayCom #Economics #Productivity