Insights on AI in the Workplace #AIAdoption
Stop Blaming AI for Problems That Were Already There
AI didn't create these problems, sheep have always existed. This may be controversial, but regulating AI without examining root causes doesn't fix anything If we spend all of our energy trying to regulate and restrict AI without examining the human values, institutional structures, and systemic inequities baked into the data it learns from, we’re only slowing down the symptom versus addressing the deeper problem.
There’s a Lot of People Trying to Sell You AI Solutions
Many vendors are eager to sell AI tools before they understand your strategy, culture, and real readiness for adoption. This post explains why “buying a tool” is not the same as achieving outcomes-and how a human-centered, organization-first approach prevents stalled rollouts, leaked data, and misaligned automation.
AI-Powered Automation Assessment
Learn why change management often determines whether AI adoption succeeds or gets abandoned within months. Using the AI-Powered Automation Assessment as a case example, this post highlights the gaps that policies and governance documents can’t solve on their own-employee fear of job displacement, cultural readiness, psychological safety, and stakeholder trust. It provides a pragmatic view of how to pair governance with communication, training, and leadership behaviors that support sustainable adoption.