The Age of AI requires engineers to lead machines, lead people that build machines, and lead organizations that adopt AI. A key part of this framework is developing the right cognitive skills. Our research indicates that six elements play a significant role in AI/ML engineering performance. The number sequence is purposeful. Big C Creativity (Frontier Thinking) should be cultivated first before placing constraints on the problem set.

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 Age of AI requires new leadership skills. One of the cognitive processes that has become increasingly important for managing AI is short-term memory. George Miller's magic number of 7 plus or minus 2 remains a useful standard for measuring working memory. Our research indicates that AI Engineers that can remember more build better products. The reason is because the job places a premium on short-term recall to ensure daily updates, MLOPs process, model design changes, and