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Key Takeaways
AI washing happens when organizations celebrate faster response times, adoption rates and new platforms while the outcomes that actually matter — customer retention, employee experience, better decisions — quietly move in the wrong direction.
Before approving any AI initiative, leaders should be able to answer three questions: Will it improve the customer experience? Will it help employees do more meaningful work? Will it help leaders make better decisions? If the answer to all three isn’t yes, the investment is producing activity, not value.
Every company wants to be seen as an AI leader. That goal has created a bigger problem than many executives realize. I call it AI washing. It’s what happens when organizations spend more time promoting AI than proving its efficacy through measurable business outcomes.I see it in executive meetings across industries. One leadership team proudly walked me through a long list of AI initiatives inside their company’s customer service operation. Response times improved. Automated routing reduced manual work. Every dashboard suggested the project was a success. Then I asked a simple question: What changed for your customers? At this, the room became quiet.Customer satisfaction had slipped. Retention was moving in the wrong direction. Employees handled conversations more quickly, yet customers felt they were moving through a system rather than receiving help from people who understood them. The technology worked. The business outcome everyone cared about never improved.
