Thousands of CEOs Say AI Has Had Little Impact on Jobs or Productivity

Despite massive investment in artificial intelligence, many executives say the technology hasn’t yet changed their businesses in meaningful ways.

A large survey of about 6,000 business leaders across multiple countries found that roughly 90% said AI had no measurable impact on employment or productivity over the past three years.

The findings are surprising given the enormous hype and spending around generative AI tools across industries.

For economists, the results are reviving a long-standing debate: why do revolutionary technologies sometimes take years to show up in productivity data?

The “AI Productivity Paradox”

Economists say the current situation echoes the “productivity paradox” first identified in the 1980s.

Nobel Prize–winning economist Robert Solow famously observed that the computer revolution appeared everywhere except in productivity statistics.

Today, analysts see a similar pattern with AI:

• AI tools are spreading rapidly
• Companies are investing billions
• But measurable productivity gains remain limited so far

Some economists argue that technological revolutions often take years to fully reshape workflows and deliver economic gains.

Companies Are Using AI — Just Not Much

One reason for the slow impact may be how little executives actually use the technology.

The survey found:

• Many CEOs report using AI only about 1.5 hours per week on average.
• Some companies have adopted AI tools but haven’t redesigned jobs or processes around them.

In other words, AI is often being used as a small productivity tool rather than a full transformation of how work is done.

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Executives Still Expect AI to Deliver Eventually

Even though results have been limited so far, many companies believe AI will produce economic benefits in the future.

Some executives estimate that over the next few years AI could:

• Increase productivity modestly
• Boost output growth
• Slightly reduce employment in certain roles.

In other words, leaders are still betting on long-term gains — even if the short-term results haven’t yet matched expectations.

Why Economists Aren’t Surprised

History suggests new technologies often go through a long adoption phase before delivering measurable productivity growth.

For example:

• Early computers spread widely in the 1970s and 1980s
• Productivity gains didn’t surge until the late 1990s and early 2000s after companies redesigned workflows around them.

Many economists believe AI could follow a similar pattern.

The technology may already be changing how work is done — but it could take years before those changes appear clearly in economic statistics.

Bottom Line

Thousands of CEOs now say artificial intelligence has not yet significantly changed employment or productivity in their companies.

But that doesn’t mean the AI revolution isn’t coming.

History shows that major technologies often take years before their economic impact becomes visible — meaning the biggest changes from AI could still lie ahead.