Artificial intelligence is automating a growing share of workplace tasks, but the people-management decisions around those changes still require human judgment, according to Don Gregori, chief operating officer of First Factory.
Leadership Is the Subject, Not the Software
Gregori makes that case in The Emergent Leader: A Guide to Brand Building, Leadership, and Self-Mastery, a leadership book published in June by Torchflame Books. The release positions the book as a guide for managers navigating the organizational effects of AI-driven change, rather than as a technical manual for deploying AI systems.
Its central argument is that empathy should be treated as a working leadership capability. Gregori said leaders need to understand employees’ capabilities, fears, motivations and the support they need as the work around them changes.
“Real empathy is operational. It means knowing employee capabilities, fears, motivations and what they need from you to move forward, especially in this rapidly changing landscape,” Gregori said. “That’s not a personality trait; that’s a skill you build. And it’s more important than ever.”
A Framework for Managers Facing Change
The book is organized into 61 short chapters across six categories. According to the release, each chapter ends with a one-sentence “Take Away” and a concrete “Take Action,” allowing readers to work through the material in sequence or focus on a current management challenge.
That structure reflects a practical concern for enterprises introducing new automation: technology changes job tasks, but executives and managers still have to explain the change, identify where employees need support and make decisions about how teams will adapt. Gregori’s release does not cite deployment data or a specific AI implementation, so its guidance is best understood as a leadership perspective rather than evidence of particular business outcomes.
Operational Change Requires People Context
Gregori has more than 25 years of experience in operational transformation and employee development, according to the release. He also cites a background in theater and film as an influence on his approach to understanding motivations, communication and team performance.
For technology leaders, the argument is a reminder that an automation plan has a human operating model alongside its systems architecture. A leadership process that accounts for employee readiness and concerns may help managers make the transition clearer to the people whose work is changing. The release does not claim that the book produces a measurable return or a specific productivity gain.
Building Leadership Habits
The stated audience includes startup founders, first-time managers, experienced leaders and aspiring chief executives. Gregori describes the book as a reference for building leadership habits, with chapters intended to be used independently when a reader is confronting a specific challenge.
As organizations assess where AI can automate work, the release places its emphasis on the leadership work that remains: interpreting change, communicating it credibly and helping employees move through it. Its focus on individual needs also frames leadership capacity as a governance concern: executives still must determine who communicates change, how feedback reaches decision makers and when work processes should be reconsidered. Those questions fall outside the technology itself, but they shape how any automation initiative is experienced inside an organization.