DigestAI news desk

Cut through the AI noise.

Society & Work7 min read

Companies may cut managers to save costs, risking employee engagement

Companies are using AI to reduce administrative work for managers, allowing them to oversee larger teams—up to 12 members on average in the U.S., up from 8.2 in 2013. The shift, called the ‘megamanager’ trend, aims to cut costs by automating routine tasks like reporting and status updates. However, Gallup data shows managers account for 82% of employee engagement variance, a critical factor in…

1 source

Key points

  • Companies are using AI to reduce manager workloads, increasing team sizes from 8.2 to 12 members on average
  • Gallup reports managers drive 82% of employee engagement, yet only 31% of U.S. workers are actively engaged
  • Stretching managers risks higher turnover costs (up to $45,236 per employee) and undermines AI-driven productivity gains

Experts warn that stretching managers thinner may backfire. A 2023 CMB study found only 1 in 10 people possess the innate talent for effective management. Stretching managers across more employees reduces time for coaching, feedback, and relationship-building, risking higher turnover costs—up to 200% of an employee’s annual salary. Platforms like Cloverleaf and MODO argue AI should augment managers, not replace them, by automating data-heavy tasks while preserving human judgment and team connection.

Full story from Unite.AIOpen source ↗

Companies Are Using AI to Cut Managers. They May Be Eliminating the Layer That Makes AI Pay Off

Unite.AI · 28 September 2026

Loading the full article…

This text was published by Unite.AI. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Topics · follow one to build your own front page
GallupCloverleafMaking SenseMODODarrin MurrinerJohnny ChangMariano Jurich

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

Comments

via GitHub Discussions

More in Society & Work

All →

Related stories