The AI Investment Paradox Generative AI is dominating headlines, while predictive AI quietly powers businesses behind the scenes. Despite delivering far greater returns in efficiency and cost savings, predictive AI receives nearly the same level of investment as its flashier counterpart. Why? The answer lies in perception: generative AI dazzles with its creative outputs, while predictive AI quietly drives results. Yet for businesses seeking measurable ROI, predictive AI remains the unsung hero.

Digital coworkers are no longer hypothetical. AI-driven agents—agentics—are creeping into every function, every decision process, and every interaction within organizations. In some ways, they are the executive dream—they don’t need coffee breaks, demand raises, or call in sick. And yet, they’re reshaping work in ways few leaders are prepared to handle.

As we reflect on 2024 and look ahead to 2025, one truth stands out: in an era of unprecedented AI advancement, human capabilities become more crucial, not less. This paradox defines our moment—as technology grows more sophisticated, the distinctly human elements of transformation become rate-limiting factors for success.

When Good Management Becomes an Obstacle to Necessary Change

Angela Merkel’s recently published memoir Freedom arrives at a pivotal moment for organizational leadership. As Yascha Mounk notes in his recent Financial Times analysis, Merkel’s legacy reveals how competent management can coexist with systemic failure. This paradox resonates deeply in today’s digital transformation landscape.

Global leaders deal with chaotic and changing situations, often filled with tension and conflict, which can make people feel excluded and prevent #community building. Two disparate yet connected fields grapple with the continued emergence of ethical dilemmas: #Technology and #AI, and #DEI. As much as we think these fields aren’t related, how we manage #conflict, check our assumptions, and navigate connection is what creates the path forward.

Hokusai's story exemplifies many of the key themes im exploring in a current manuscript about the importance of subjective intelligence in the advent of ai: the importance of #persistence, the value of #lifelonglearning, and the deep #insights that can come from looking closely at one's craft over an extended period.

AI-powered voice recording, transcription, and analysis tools are revolutionizing how we conduct and follow up on meetings. As graduate faculty for project management curriculum and consultant for data culture initiatives, I’ve started integrating how these tools can help students and project managers