Why AI Leads to More Work, Not Less

2026-02-10 · Source: The AI Daily Brief: Artificial Intelligence News and Analysis · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Human Resources & Workforce Development, Corporate Strategy & Leadership · Depth: Intermediate, extended

Summary

A new embedded workplace study by Berkeley Haas professors Aruna Ranganathan and Xingchi Maggie Yi, published in the Harvard Business Review, indicates that AI is intensifying work rather than reducing it. The research, conducted at a 200-employee technology company from April to December last year, found that AI power users are experiencing task expansion, blurring boundaries between work and non-work, and increased multitasking. Workers are taking on responsibilities previously belonging to others, slipping work into breaks, and running multiple projects in parallel. This shift, while empowering individuals with new capabilities and mastery, also creates new pressures and cleanup work for others, raising expectations for speed and potentially leading to less downtime. The study suggests that the real challenge of AI is managing this abundance of capability and the resulting work intensification.

Key takeaway

For CTOs and VPs of Engineering/Data evaluating AI adoption, recognize that AI will likely intensify work rather than reduce it, shifting focus from job displacement to managing increased capacity and new pressures. Your teams will expand their scope and multitask more, necessitating new management strategies like intentional pauses and human grounding to prevent burnout and ensure quality. Prioritize using AI for expansionary opportunities and new product lines, not just cost-cutting, to drive long-term organizational growth.

Key insights

AI intensifies work by expanding tasks and blurring boundaries, creating new challenges despite increased capability.

Principles

• AI expands the aggregate amount of work available.
• New capabilities lead to increased expectations for speed.
• Agentic AI shifts focus from efficiency to expansion.

Method

Researchers embedded with a 200-employee tech company for nine months, observing AI's impact on work patterns, including task expansion, blurred work-life boundaries, and increased multitasking among users.

In practice

• Implement intentional pauses in AI-driven workflows.
• Sequence tasks to manage parallel agentic work.
• Ground AI use in human oversight and validation.

Topics

• AI Work Intensification
• Agentic AI
• Video Generation Models
• AI Business Transformation
• AI Workplace Impact

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Executive, AI Product Manager, HR Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Daily Brief: Artificial Intelligence News and Analysis.