The New Friction Webinar June 11th
The New Friction Webinar June 11th
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AI | May 29, 2026

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

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

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” 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

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 27, 2026

Most organizations treat AI adoption as a training problem, but the real challenge is design. Drawing on research from Gartner and Anthropic, this article explores why traditional upskilling fails, how experience gaps are widening, and why collaboration is the missing layer in AI success. Learn how leading teams are shifting from one-time training to continuous, practice-based learning and redesigning workflows to integrate AI as a true collaborator. Discover what it takes to build alignment, trust, and lasting impact in the age of AI.

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AI | April 23, 2026

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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AI | April 14, 2026

This post explores why decision-making, alignment, and facilitation are becoming the most critical skills for leaders. Learn how organizations can redesign meetings, prioritize decision quality over output, and build cultures that embrace productive conflict. Discover why facilitation is emerging as a competitive advantage and how leaders can start improving collaboration today to stay ahead in an AI-driven world.

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AI | March 12, 2026

AI may feel new, but the challenges beneath it; alignment, decision quality, behavior change, and adoption are as old as organizations themselves. What’s different now is speed. In this post, we explore how AI can magnify existing dysfunction or accelerate clarity and progress depending on how teams work together. Learn how facilitators can design intentional cadences, improve decision-making, and make work visible so AI enhances collaboration rather than scaling chaos. Discover practical shifts and the Ways of Working Assessment to help teams surface hidden friction, strengthen systems, and turn AI-driven speed into a strategic advantage.

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AI | December 16, 2025

Make AI a visible teammate in 2025—not a side tool. This article shows how to move AI from “nice-to-have” prompts to the operating core of your team: weaving it through meeting arcs (open, explore, decide, close), speeding decisions with AI-generated options and consent-based methods, and building trust through clear working agreements and verification habits. You’ll learn how to redesign whole workflows (not isolated tasks), create living memory that reduces churn, and prototype AI-centered rituals you can test in two weeks. Includes an AI-at-the-Center Bingo diagnostic to assess maturity and pick January experiments that boost clarity, alignment, and throughput.