Fall 2026 Facilitation Certification Application Deadline Sept 18th
Fall 2026 Facilitation Certification Application Deadline Sept 18th

AI

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AI | July 17, 2026

The Friction Discernment Test

AI has made eliminating workflow friction easier than ever, but removing every obstacle can create hidden organizational risk. This article introduces the concept of friction discernment; the leadership skill of distinguishing between draining friction that wastes time and developmental friction that builds judgment, expertise, and resilience. Learn why optimizing solely for speed creates capability debt, how AI can unintentionally erode critical thinking, and how leaders can intentionally design the right friction back into work to strengthen decision-making, learning, and long-term organizational performance in the age of AI.

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AI | July 10, 2026

Trustworthiness Is Not Trust

Why do enterprise AI initiatives stall even after strong pilots, impressive ROI, and airtight security reviews? Because trustworthiness and trust are not the same thing. This article explores why employees resist AI despite overwhelming evidence that it works, revealing the psychological factors that drive real adoption. Learn why case studies and compliance badges rarely change behavior, how professional identity shapes AI acceptance, and the practical strategies leaders can use to build lasting trust through experience, social proof, and thoughtfully sequenced adoption rather than more technical proof.

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AI | June 19, 2026

AI Is Not a Legal Shield

AI governance is no longer theoretical. Recent cases involving Air Canada's chatbot and iTutorGroup's AI recruiting system show that organizations, not AI tools, are legally accountable for AI-generated outcomes. This article explores what these landmark cases reveal about AI liability, governance failures, and the risks of deploying AI without human oversight. Learn why monitoring, data quality, human review, and cross-functional decision-making are essential for responsible AI implementation. Discover four practical governance patterns that help organizations reduce risk, improve accountability, and build AI systems that are both innovative and defensible.

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AI | June 12, 2026

The Five-Year Gap

AI is quietly reshaping the workforce in ways most leaders aren’t measuring. While concerns often focus on entry-level job loss, the bigger risk is the erosion of apprenticeship and skill development. Drawing on research from Cornell, MIT, Yale, Microsoft, and real-world examples from organizations adopting generative AI, this article explores how “AI chains” remove the learning experiences that turn juniors into future experts. Learn why experience starvation threatens leadership pipelines, how hidden AI adoption creates governance blind spots, and what organizations can do to preserve mentorship, judgment, and long-term capability while still capturing AI-driven productivity gains.

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AI | May 29, 2026

The Perception Gap

AI adoption is accelerating, but many organizations are discovering a troubling disconnect between leadership expectations and employee reality. While executives report strong productivity gains, frontline workers often see little impact and remain uncertain about AI’s role in their future. This article explores the growing perception gap revealed by recent enterprise AI research, why traditional change management approaches are falling short, and how trust, involvement, and collaborative decision-making influence successful AI transformation. Learn why the biggest barrier to AI success may not be the technology itself, but the human dynamics shaping how organizations adapt to change.

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AI | May 15, 2026

Deep Tech or Deep Human

Organizations are no longer debating whether AI matters. They are being pulled into two very different futures. This post explores the growing divide between companies investing heavily in AI infrastructure and automation, and those focusing on the human capabilities required to make AI actually work inside organizations. Drawing from nearly a decade of experience in facilitation and AI transformation, it examines why trust, decision-making, collaboration, and organizational adaptability are becoming the real differentiators in the age of AI. A thought-provoking look at the widening gap between technological acceleration and human readiness, and why the middle ground is quickly disappearing.

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AI | May 8, 2026

Three Steps to Make AI Actually Stick

Most organizations are investing heavily in AI adoption but seeing little return because traditional training models fail to create lasting behavior change. Research from organizations like Gartner and Anthropic reveals that employees quickly forget one-time AI training and struggle to integrate AI into daily workflows. While licenses and training programs increase, real usage and collaboration remain low. This article explores why AI adoption is a design problem rather than a training problem, highlighting emerging research, behavioral insights, and a new three-part framework that helps organizations build true AI fluency through practice, iteration, and collaborative ways of working.

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AI | May 1, 2026

Collaborative AI

“Collaborative AI” is one of the most overused terms of 2026, often stretched to describe everything from multi-agent systems to solo prompting in tools like ChatGPT. This ambiguity hides what actually matters: how teams work together with AI in real-world settings. This piece cuts through the noise, challenging shallow definitions and offering a practical, experience-based perspective. Learn the difference between agent-to-agent workflows, individual AI use, and true team collaboration with AI—and why only one of these reflects the meaningful shift happening inside organizations today.

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AI | May 1, 2026

The New Friction

AI is accelerating execution, but many organizations are stalling. This post explores the hidden tradeoff behind AI efficiency, introducing concepts like Capability Debt and beneficial friction. Learn why over-automation can erode judgment, how contiguous AI workflows increase risk, and what leaders must do to preserve decision-making capacity. Drawing on research from MIT and real-world examples, it reframes AI transformation as a leadership and facilitation challenge, not just a technology rollout. Discover practical strategies to balance speed with resilience and build organizations that scale without losing their ability to adapt.

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AI | April 23, 2026

Why AI Adoption Fails

Discover why AI adoption often falls short despite powerful technology. This article explores five hidden organizational frictions—consensus, trust, governance, identity, and talent pipeline—that quietly derail AI initiatives. Learn how misalignment, lack of trust, unclear rules, shifting roles, and broken development paths prevent teams from realizing ROI. Backed by real-world insights and research, it reframes AI transformation as a human and facilitation challenge, not a technical one. If your organization is investing in AI but struggling to see results, this guide reveals what’s really holding you back and how to address it.

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