#009 - Change Fatigue, AI That Didn't Deliver, and the Collapse of Trust

Meller Notes is here, curating content on career, leadership, and management for your personal and professional development.In this episode of Meller Notes, we stop the quarter and look at the data. Not the announcement data — the results data.In Q1 2026, three global studies arrived at the same diagnosis by different paths: the distance between what organizations know they need to do and what they actually do is costing real money. In engagement. In results. In trust.Deloitte surveyed 9,000 leaders in 89 countries. MIT analyzed hundreds of generative AI projects in companies. Randstad interviewed 27,000 workers in 35 countries. All three arrived at the same place.The question that remains is not about the market. It's about you: are you acting like Semmelweis — the doctor who had the data and acted on it — or like the doctors who preferred not to wash their hands?What you will learn in this episode:Change Fatigue: 1 in 3 workers went through 15 or more organizational changes in the past year. Only 27% believe their organization manages change effectively. 85% of leaders say building adaptability is critical — and only 7% are actually making progress. Change fatigue is not a team weakness. It's a signal that leadership wasn't present in the field during the transition.AI That Didn't Deliver: 95% of generative AI pilots in companies deliver no measurable result. 61% of leaders are under more pressure to prove AI return than a year ago. MIT identified the three conditions that separate the 5% that work from the 95% that fail — and they are not technical. They are management conditions. Leadership conditions.The Collapse of Trust: Trust in senior leadership fell from 77% to 72% globally in 12 months. Among Gen Z, it reached 67%. And there is a 44-point gap between the optimism of those who decide and those who execute. Trust didn't disappear — it migrated. From institutional to relational. From the CEO to the direct manager who shows up when things get hard.The evidence behind this episode:Deloitte Global Human Capital Trends 2026 (published March 4, 2026, with Oxford Economics, 9,000+ leaders in 89 countries): deloitte.com/us/en/insights/topics/talent/human-capital-trends.htmlMIT — The GenAI Divide: State of AI in Business (widely resurface in Q1 2026): itpro.com/business/business-strategy/ai-investment-increase-2026-gartnerGartner, January 2026: The AI expectations cycle is officially in the Trough of Disillusionment: christianandtimbers.com/insights/why-does-gartner-describe-2026-as-a-trough-of-disillusionment-year-for-aiKyndryl Readiness Report, February 2026: kyndryl.com/us/en/insights/articles/2026/02/achieving-ai-roi-through-value-realizationMcKinsey State of AI 2025: Only 39% of companies report measurable financial impact from AI projects.Randstad Workmonitor 2026 (published January 20, 2026, 27,000 workers and 1,225 employers in 35 countries): randstad.com/workmonitor/Meller Notes is here, curating content on career, leadership, and management for your personal and professional development.