AI Essentials for Leaders, Book Series

Substack Cadence

I want to thank my followers on Substack. I have exciting news to report and also to what to expect in this forum, starting this week.

In 2025, I will be co-editing a new book series called AI Essentials for Leaders for a major publisher. The intended audience is senior executives, business leaders, and decision-makers seeking a comprehensive overview of AI technology and its strategic implications for business transformation. I am launching the series with the first volume, AI: Shaping the Future of Innovation (late 2025), which will provide a clear roadmap of core AI technologies and their transformative potential for technology innovation. My co-editor will follow shortly after with the second volume (also in 2025), examining AI through the lens of business strategy and organizational innovation. More on the book series to come.

In parallel, I'll be expanding this blog and podcast beyond their current focus on AI in education to explore AI's broader impact across industries and society. AI and Education will remain a leading theme since it is my core area of expertise and research focus.

Starting this week, I will be posting at least three times here:

• Technical Tuesday: A weekly exploration of one key technical concept in AI or related fields, explained for non-technical leaders.

• AI Essentials Wednesday: A weekly spotlight on a core AI concept that leaders need to understand to navigate the emerging AI landscape.

• Political Economy Thursday: A weekly examination of a key concept at the intersection of AI, markets, policy, and society.
  
  This week's topics:

• Technical Tuesday: What is efficacy and how do we measure it? Understanding effect size - the key metric that quantifies the magnitude of differences and relationships across fields like education, business, healthcare, and environmental science.

• AI Essentials Wednesday: AI's Impact on Labor Markets: The Turing Trap - economist Erik Brynjolfsson's framework for understanding AI's dual potential: Will we choose to automate jobs (potentially increasing inequality) or augment human capabilities (creating shared prosperity)?

• Political Economy Thursday: A Historical Look at the Top 1% in Wealth: Examining two decades of unprecedented wealth concentration through data visualization, and exploring whether AI will accelerate or reverse this trend.

  
  
  If there are other topics you would like me to cover, please don’t hesitate to reach out. Once I get approval from the publisher, I also hope to make draft excerpts from the book available to subscribers.