AI Isn’t Breaking Work. It’s Already Broken.

2026-06-15 · Source: Cal Newport · Field: Business & Management — Operations & Process Management, Human Resources & Workforce Development, Corporate Strategy & Leadership · Depth: Fundamental Awareness, quick

Summary

A recent Financial Times report, based on a survey of 6,000 digital workers, reveals a paradox: while respondents claimed AI saved them an average of 11 hours per week, only 13% reported any improvement in company performance. Rebecca Hinds, head of the Work AI Institute, attributes this discrepancy to three factors. Workers often fail to account for "botsitting" time spent waiting for AI agents, the inefficiency of toggling between multiple AI tools (a practice 60% of the sample reported), and "workplace theater," where visible performance overshadows actual task completion. The author notes these problems are not new, mirroring issues with earlier digital tools like email and Slack, which also led to underestimated time waste and "pseudo-productivity." AI, therefore, magnifies existing workplace inefficiencies rather than creating entirely new ones, potentially prompting leaders to finally address these systemic issues.

Key takeaway

For operations professionals evaluating AI integration, recognize that reported time savings may be misleading. Your teams might be spending uncounted hours "botsitting" or toggling between tools, masking true efficiency gains. Focus on measuring actual performance improvements and tangible outputs, rather than just perceived time saved. This approach will help you identify and address underlying systemic inefficiencies that AI might be exacerbating, ensuring your investments yield real business value.

Key insights

AI amplifies pre-existing workplace inefficiencies, masking true productivity gains despite reported time savings.

Principles

• New digital tools often mask hidden time costs.
• Task-switching and tool-toggling reduce net productivity.
• Visible "workplace theater" can obscure real output.

In practice

• Account for "botsitting" and tool-toggling time.
• Prioritize tangible outcomes over visible activity.
• Scrutinize reported AI time savings carefully.

Topics

• AI Adoption Challenges
• Workplace Productivity
• Digital Tool Efficiency
• Time Management
• Pseudo-productivity
• Organizational Behavior

Best for: Executive, Consultant, Operations Professional

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• Beware of Productivity Paradoxes — New technologies, like AI, often present a "productivity paradox," where expected gains don't materialize as simply or broadly as anticipated.
• Employees spend more time managing AI than producing work — AI's productivity gains are often offset by significant employee time spent on management and correction tasks.
• Meta and Microsoft have joined the tech layoff tsunami – but is AI really to blame? — Current tech layoffs reflect a complex interplay of AI investment, post-pandemic restructuring, and forced productivity gains.
• Living & Working with AI — Widespread AI adoption is shifting analysis from isolated use cases to large-scale economic impacts on productivity and labor.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Cal Newport.