Twitter/X

A Harvard Business Review-cited 8-month field study at a US tech company with…

2026-03-01 · 01:44 UTC ·@reetesheth ·1 min read

Brief

A tweet endorses a summary of an HBR-reported study arguing that workplace AI often increases rather than reduces labor. In an 8-month observation of roughly 200 employees at a US tech company, AI reportedly expanded the scope of work, added review and coaching burdens, blurred temporal boundaries around when work starts, and normalized a faster pace that raised implicit expectations for responsiveness and output.

Why it matters

A Harvard Business Review-cited 8-month field study at a US tech company with about 200 employees found that AI adoption did not reduce work; it intensified workloads and left employees busier.

Key details

  • The post claims AI caused task expansion by filling knowledge gaps, leading workers to take on tasks previously handled by other roles, outsourced, or deferred, which then created extra coordination, review, and specialist rework.
  • The author says AI blurred work boundaries and increased multitasking: employees could start tasks with a prompt during lunch or meetings, ran multiple AI threads simultaneously, and faced higher attention-switching, mental load, and rising expectations for speed even without explicit managerial pressure.
Source evidence

title: @reetesheth: Yup

Rohan Paul (@rohanpaul_ai)

Powerful new Harvard Business Review study.

"AI does not reduce w...
author: @reetesheth
contenttype: tweet
publication: Twitter/X
published: 2026-03-01T01:44:08+00:00
sourceurl: https://x.com/reetesheth/status/2027922806865072535

word_count: 169

Yup

Rohan Paul (@rohanpaul_ai)

Powerful new Harvard Business Review study.

"AI does not reduce work. It intensifies it. "

A 8-month field study at a US tech company with about 200 employees found that AI use did not shrink work, it intensified it, and made employees busier.

Task expansion happened because AI filled in gaps in knowledge, so people started doing work that used to belong to other roles or would have been outsourced or deferred.

That shift created extra coordination and review work for specialists, including fixing AI-assisted drafts and coaching colleagues whose work was only partly correct or complete.

Boundaries blurred because starting became as easy as writing a prompt, so work slipped into lunch, meetings, and the minutes right before stepping away.

Multitasking rose because people ran multiple AI threads at once and kept checking outputs, which increased attention switching and mental load.

Over time, this faster rhythm raised expectations for speed through what became visible and normal, even without explicit pressure from managers.

— https://nitter.net/rohanpaul_ai/status/2027586547743396305#m