In 1987, Nobel laureate Robert Solow famously remarked that the computer age was visible everywhere except in productivity statistics. Nearly four decades later, artificial intelligence appears to be reviving this paradox. While individual workers report being more efficient than ever, corporate balance sheets have yet to reflect a corresponding leap.

The Gap Between Individual and Organization

Research cited by Fast Company indicates that AI can boost productivity in specific tasks by 15%-30% in real-world conditions and up to 60% in controlled studies. McKinsey’s State of AI 2026 report shows that eight out of ten professionals feel more productive. However, the corporate reality is different: only 37% of executives can link AI usage to an impact on operating profits (EBIT).

  • 89% of executives saw no productivity impact over the last three years (NBER).
  • More than half of CEOs report that AI led to neither higher revenues nor lower costs in the past year (PwC).

Lessons from the History of Electricity

The core issue is that AI is often treated as a mere add-on tool rather than a catalyst for structural redesign. Much like electricity, which only boosted productivity once factories were physically redesigned around electric motors, AI requires new workflows. Simply speeding up a single task, such as writing an email, does not fundamentally change how an organization functions.

Moving Bottlenecks and Disposable Assets

A critical challenge is the migration of bottlenecks. AI accelerates the production of code or content, but this creates a surge at the review and approval stages. In software development, tools like GitHub Copilot have increased code output but also led to more rework, forcing senior developers to spend their time auditing rather than creating.

Furthermore, the ease of generation often results in "disposable" content—assets created for one-time use and then abandoned. The solution, exemplified by Unilever’s use of "digital twins," lies in creating reusable digital components that accumulate value over time rather than being discarded.

Strategic Shifts for Growth

To bridge this gap, companies must focus on four pillars: revisiting ambitious projects that were previously cost-prohibitive, building libraries of reusable assets, identifying new operational bottlenecks, and tracking innovation metrics rather than just cost-cutting.