DigestAI news desk

Cut through the AI noise.

Enterprise & Industry11 min read

Andus Labs CEO explains why human systems, not tech, hold back AI transformation

Chris Perry, founder of Andus Labs, argues that enterprises fail to realize AI’s full potential because they overlook the human and organizational systems needed to integrate it. Drawing on decades at Weber Shandwick and observing tech shifts like social media and mobile, Perry notes that companies often bolt AI onto existing workflows without redesigning work around its capabilities. His…

1 source

Key points

  • Perry’s *Ground Truth Index* ranks ‘Empty Chairs’ (no accountability for AI decisions) and ‘Learning While Drowning’ as top AI adoption barriers
  • AI’s value equals capability multiplied by an organization’s ability to absorb and reorganize around it, he argues
  • Perry advocates problem-focused teams with agents and humans co-deciding, replacing traditional functional org charts

Perry emphasizes that AI’s value depends on “absorption” (how well teams adapt) as much as capability. He warns against treating AI as a cost-cutting tool, citing “Devaluation Anxiety” among employees who fear job displacement without clear career paths. His vision for the future includes problem-focused teams with agents and humans co-deciding, replacing rigid functional org charts. The analogy to 1920s factories—where motors were repurposed to redefine workflows—highlights the need for structural change beyond incremental AI adoption.

Full story from Unite.AI · by Antoine Tardif, CEO & Founder of Unite.AIOpen source ↗

Chris Perry, Founder and CEO of Andus Labs

Unite.AI · 5 October 2026

Loading the full article…

This text was published by Unite.AI and written by Antoine Tardif, CEO & Founder of 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
Andus LabsWeber ShandwickGeneral MotorsEdelmanChris Perry

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 Enterprise & Industry

All →

Related stories