Learn to Think in Color

Is Your Team’s Tacit Knowledge Training AI to Replace You? How to turn hidden know-how into leverage—not a layoff plan Snapshot: What’s really at stake here As Generative AI spreads into tools your team already uses, it’s natural to worry: is our  tacit knowledge —the hard-won know-how we can’t fully explain—being silently captured to train AI that could replace us? The truth is subtler and more strategic. AI does learn patterns from how your team writes, decides, and collaborates, but that doesn’t automatically equal replacement. Why this question matters This question is ultimately about  control and design : who owns the value created when your tacit knowledge shapes an AI system, and how do you make sure it amplifies your work instead of undermining it? Think of this article as a practical frame you can use in leadership conversations, procurement decisions, or AI pilots—so your expertise becomes a multiplier, not a threat. What does it mean for AI to “learn” from your tac...

May 20, 2025 John Clifford   Edit Why Do Organizations Struggle with New Tech Adoption? Organizations often champion innovation, yet when it’s time to implement new technology, they encounter unexpected hurdles. Despite the allure of efficiency and competitive advantage, many companies find themselves stalled. Why? Because adopting new technology isn’t solely about the tools—it’s about people, processes, and mindset. Let’s delve into the primary reasons organizations grapple with tech adoption and explore strategies to overcome these challenges. 1. Resistance to Change: “But We’ve Always Done It This Way” Why It’s a Problem: Humans are creatures of habit. Even when a new tool offers clear benefits, employees may resist because: It disrupts established routines. There’s a fear of failure or appearing incompetent. Comfort often outweighs the uncertainty of change. Example: A company upgrades from manual spreadsheets to automated reporting, but employees continue using Excel due to fa...