89% of Leaders Say AI Hasn't Boosted Labor Productivity: Gallup

Despite billions spent and AI tools embedded across nearly every workflow, the executive class is calling the rollout a dud. A recent NBER survey of executives in the U.S., U.K., Germany and Australia found that while AI use is widespread in corporations, 89% of leaders report no impact of AI on their company’s labor productivity in the past three years.

The disconnect at the top

Surveys of leaders reinforced the same disconnect between individual productivity gains and organisational outcomes that employees reported. Workers at the desk say AI helps. The C-suite, looking at the P&L, is not seeing it flow through.

Among US workers in organisations that had implemented AI, 65% said that AI had had a “somewhat” or “extremely” positive impact on their productivity. But only 12% strongly agreed that AI had transformed how work gets done in their organisation.

Adoption is wide, impact is thin

While 70% of the businesses questioned were actively using AI, over 80% of them report no impact on company productivity or on employment. The survey covered over 6,000 executives from firms across Europe and the US.

Leaders still expect a payoff, just a small one. The majority of those questioned believe AI will boost productivity by 1.4%, reduce headcount by 0.7%, and increase output by 0.8% over the next three years.

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Solow paradox, redux

The contrast between the adoption of AI and its impact on business is an interesting callback to the challenges of decades past, where the introduction of the microcomputer radically changed how businesses operated. The so-called Solow’s productivity paradox, named after the economist who spotted the trend, saw that the extra admin caused by information overload created by computers actually slowed productivity among workers between the 1970s and 1980s.

Translation, the gains may come, but the lag between capex and measurable output is real. For more market headlines, see other news here.

Why traders should care

Hyperscalers and AI infrastructure names are being valued on the assumption that enterprise customers see hard ROI. If the buyer side keeps reporting no productivity lift, the multiple compression risk on AI capex stories grows.

A study conducted by Boston Consulting Group found that respondents reported increased productivity when using three or fewer AI tools, but self-reported productivity plummeted when respondents used four or more tools, with workers saying they felt brain fog or made more small mistakes as a result of technology overuse. Tool sprawl is becoming its own headwind.

Options market and stocks to watch

Watch for sensitivity in the AI capex chain if enterprise ROI commentary cools on the next round of prints.

NVDA, watch for any softening in enterprise demand commentary tied to customer productivity outcomes.

MSFT, watch Copilot attach rates and any disclosure on seat-level monetization given the leader skepticism.

CRM, watch for guidance around Agentforce adoption and whether customers are converting pilots to paid scale.

NOW and GOOGL, watch for enterprise AI revenue line items and any commentary on customer productivity case studies.

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