Article

Four AI misconceptions that deserve greater scrutiny

Gregory Daco & Rye Butman, EY-Parthenon · 2026-07-17.July 17, 2026

Summary

This EY-Parthenon article challenges four common assumptions about AI’s economic impact: that productivity will surge immediately, AI is nearly free to use, workers will quickly become redundant, and AI will rapidly reduce inflation. Its central argument is that technological capability is only the starting point; the economic effects depend on infrastructure, recurring costs, organizational redesign, workforce adaptation and time. For knowledge workers and business leaders, the useful lesson is to judge AI by measurable value and how effectively people and processes change around it.

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Gregory Daco & Rye Butman, EY-Parthenon · 2026-07-17

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PublicationEY / EY-Parthenon
Author / creatorGregory Daco; Rye Butman
Source dateJuly 17, 2026
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Key Takeaways

  • Productivity gains will take time. AI can improve productivity, but broad gains depend on companies redesigning workflows, retraining people, changing operating models and learning how to use the technology effectively.
  • AI is not a near-zero-cost technology. Beyond licenses and implementation, every use consumes computing resources, making AI a recurring operating expense; the important metric is therefore return on usage, not simply adoption.
  • AI is more likely to complement workers than eliminate them wholesale, at least in the medium term. The stronger opportunity is to combine AI with human judgement, automate routine work and increase output per worker.
  • AI may initially add to inflation rather than reduce it. Building the infrastructure behind AI requires enormous spending on chips, data centres, electricity, cloud capacity and talent before longer-term efficiency gains can lower costs.