Remember the 1980s? Big hair, shoulder pads, and companies pouring money into shiny new computers that somehow... didn't make anyone more productive? Nobel Prize winner Robert Solow nailed it in 1987 with one perfect observation: "You can see computers everywhere except in productivity."

Fast forward to 2026, and we're watching the exact same movie play out, only this time it's AI instead of PCs.

A massive new study just surveyed 6,000 executives across the U.S., UK, Germany, and Australia. The finding? Nearly 90% say AI has done absolutely nothing for their productivity or employment over the past three years.

Wait, what? Haven't we heard nonstop about AI transformation? Aren't 374 companies in the S&P 500 discussing their AI wins on earnings calls?

Yeah, they are. But when researchers dug into the results, those wins aren't showing up anywhere that matters. Executives use AI an average of 1.5 hours per week, more than a couple of coffee breaks. And a quarter of them? They're not using it at all.

It gives serious '80s computer vibes, when those expensive new machines mostly just printed way too many reports that nobody read.

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Here's where it gets interesting. Despite seeing zero results so far, executives are still bullish. They're predicting 1.4% productivity gains and 0.8% output increases over the next three years. A bit of job cuts too—around 0.7%, though employees themselves think hiring will actually go up slightly.

Apollo's chief economist Torsten Slok put it bluntly: "AI is everywhere except in the incoming macroeconomic data." Outside the big tech giants, there's no trace of AI boosting profits, margins, or earnings. It's essentially invisible in the data.

The research is all over the place. The St. Louis Fed says productivity's up 1.9% since ChatGPT dropped. But MIT's Nobel laureate Daron Acemoglu? He's calculating more like 0.5% gains over the next decade, way less exciting than the hype suggests.

ManpowerGroup's survey of 14,000 workers offers a clue: AI usage jumped 13% last year, but worker confidence in it crashed 18%. Translation? People are using tools they don't trust.

Even IBM admitted the weirdness. They're tripling entry-level hiring despite having AI that could theoretically automate those jobs. Why? Because if you cut junior roles, you've got nobody to promote to management down the line. Turns out AI can't replace the career ladder.

The IT slump eventually turned around. Between 1995 and 2005, productivity finally surged as companies figured out how to use their technology.

AI might follow the same "J-curve": things get worse before they get way better. But there's a key difference this time: competition between AI companies has made tech dirt cheap. In the '80s, you paid a premium for innovation. Now? Everyone's got access.

That means AI's impact won't come from the technology itself. It'll come from whether companies can figure out smart ways to deploy it before everyone loses patience.

The tools are ready. The question is whether businesses are.

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Source: Rogelberg, S. (2026, February 17). Thousands of CEOs just admitted AI had no impact on employment or productivity—and it has economists resurrecting a paradox from 40 years ago. Fortune. https://fortune.com/2026/02/17/ai-productivity-paradox-ceo-study-robert-solow-information-technology-age/