You have a star on your team. A brilliant revenue manager who can build a forecast spreadsheet that sings. A seasoned sales director whose instincts are legendary. They are experts – the best at what they do.
So why are they hesitant to use the new AI tool you just invested in?
It’s a question leaders everywhere are asking. We’re pushing for AI adoption, expecting our teams to embrace the future. When they don’t, we assume it’s resistance to change or a lack of technical skill.
But what if the real reason is far more human? What if they’re worried that using a smart tool will make them look less smart?
New research from Harvard Business Review has given this phenomenon a name: the “competence penalty.” It’s the hidden bias that assumes relying on AI is a crutch for a lack of real talent. And it’s one of the biggest, unspoken barriers to innovation in our industry.
The Fear is Real: Are We Penalizing Our Best People?
The research is eye-opening. When professionals used AI to assist with their work, their peers rated them as less capable – even when their final output was identical in quality.
This isn’t just a problem for coders. It’s happening in our hotels every day. Ask yourself:
- Do we subconsciously value the sales director who closes a deal on “gut instinct” more than the one who uses an AI to analyze lead data?
- Do we see the F&B manager who crafts a menu based on “experience” as more of an artist than the one who uses AI to optimize inventory and predict trends?
- As leaders, do we worry that using an AI to summarize reports makes us look less “hands-on”?
In an industry where expertise is our currency, the fear of appearing less competent is a powerful force. It’s causing our most talented people to quietly avoid the very tools meant to amplify their skills.
How to Lead the AI Transformation (Hint: It’s Not About the Tech)
If we want to break this cycle, more training manuals and incentives won’t cut it. We have to change the culture. Here’s the leadership playbook for turning AI from a perceived threat into a symbol of strength.
1. Make It Safe to Be Smart First, we have to uncover the hidden fear. Instead of just pushing for adoption, start by listening. Sit down with your most respected, experienced leaders. Ask them what their real concerns are. Is your veteran Chief Engineer worried that an AI-driven maintenance schedule invalidates his 30 years of experience? Acknowledge that fear. Frame AI not as a replacement for their expertise, but as a powerful tool that only an expert like them can truly leverage.
2. Make AI Aspirational, Not a Crutch Identify the influential, respected skeptics on your team—the ones everyone else looks to. They are your key to shifting perceptions. Work with one of these leaders to pilot an AI tool. When your most trusted, “old-school” expert becomes the one showcasing how AI helps them achieve a new level of excellence, it reframes the narrative. Suddenly, using AI isn’t a shortcut for the inexperienced; it’s what the best do to get even better.
3. Reward the Outcome, Not the Method This is the most critical shift. We must stop judging the process and start evaluating the result. Is the revenue forecast accurate? Is the marketing campaign effective? Is the guest satisfaction score rising? Who cares if AI helped with the final draft or supported you in analyzing the data? When your team knows they are judged on the quality of their outcomes, they will be free to use the smartest, most efficient tools to get there.
The Real Competitive Advantage Isn’t AI – It’s Your Culture
The HBR research ends with a powerful truth: the organizations that win with AI won’t be the ones with the best tech. They’ll be the ones that create a culture where every employee can use it safely, without fear of penalty.
Our job as leaders is to build that psychological safety. The greatest challenge isn’t implementing a new platform; it’s creating a culture where our people are celebrated, not penalized, for being smart enough to use it.


















