Linear Algebra is a critical skill for AI leadership. It should be mandatory learning as part of high school and undergraduate curriculums. CHROs should emphasize this skill in their emerging leadership programs. Having basic skills in Linear Algebra allows professionals to proactively manage machines. You do not need to perform the calculations yourself. However, understanding the process will make your conversations with the engineering team more effective.

In the age of AI, leaders are required to do three things: lead machines, lead people that build machines, and lead organizations that adopt AI. To effectively lead in this environment, executives must understand AI. This means going beyond prompt engineering and AI agent courses to learn how things actually work.

We're thrilled to announce that David Swanagon, Ed.D, SPHR and Stephen McIntosh have been selected as presenters at the 5th Bi-Annual Columbia Coaching Conference, taking place October 14–16, 2025 at Columbia University in New York City. This year’s theme — High-Impact Coaching in an Era of Hybrid Intelligence — couldn’t be more timely. Their presentation will focus on: Machine Leadership - An integrated coaching framework for the age of AI.

The Machine Leadership Journal has issued a Call for Papers. AI Research Scientists, Professors of Practice, and AI Industry Leaders are encouraged to submit abstract proposals that focus on the emerging field of Machine Leadership. This includes The AI Innovation Frontier, the balance between Machine Autonomy versus Trust, and how AI competencies drive adoption. The Journal is managed by an Editorial Board. All publications are subject to a robust review process and include