You aren’t a Luddite; you are just pragmatic. You tried to use the AI. You really did. But first, you had to log in. Then you had to copy the data from your email. Then you had to paste it into the AI. Then you had to copy the answer back into Word to fix […]
Ask your Data/AI leader: “If your team disappeared tomorrow, would revenue immediately drop?” If the answer is no, you have a Cost Center. The Service Desk Trap: Most data teams operate at Level 1 (Descriptive). They answer tickets: “Pull the sales report for Q3.” They are reactive “overhead”. When budgets tighten, overhead gets cut. The
Klarna replaced 700 agents with AI to “save money,” only to see customer satisfaction tank and costs rise due to rework. They fell into the “Labor Trap“. Most companies are falling into this same “Labor Trap.” They measure AI success by “Headcount Reduction” or “Hours Saved” Result? Employees hide the efficiency to look busy and
You didn’t buy 500 Copilot licenses to have your team use them in secret. But a recent Duke University study confirms that employees who are known to use AI are viewed by peers as “less competent” and “lazier”. So, what happens? Your high performers go underground. They use Copilot to do the work in 30
You aren’t resisting innovation; you are protecting the company. While others are excitedly pasting data into ChatGPT, you are the one asking, ‘Where does that data go?’ You’ve seen the headlines about Samsung engineers leaking code and law firms getting sued for hallucinations. You want to use the tools, but you are terrified that one
You aren’t ‘bad at tech.’ You likely just had a bad first date with AI. You opened ChatGPT, typed in a question, and got a generic, hallucinated, or robotic answer. You looked at it and thought, ‘This is useless,’ or worse, ‘I must be doing this wrong.’ While your LinkedIn feed is full of people
You aren’t afraid of the technology. You are afraid of losing the humanity in the work. You believe that writing isn’t just about output—it’s about thinking. To you, handing the creative process over to an algorithm feels like a betrayal of your craft. You worry about copyright, about the environment, or simply that we are
It’s not paranoia; it’s pattern recognition. You read the headlines about layoffs and ‘automation.’ You see a tool that can write a brief in seconds—a task that used to take you all morning. It is completely rational to look at that screen and wonder: ‘If the AI does this, why does the company need me?’
You aren’t a luddite. You just refuse to ship garbage. You’ve spent your career building a reputation for precision, nuance, and craft. When you see a generic AI response, you don’t feel threatened—you feel offended. To you, AI often feels like a sloppy junior intern: confident, fast, and frequently wrong. You aren’t resisting innovation; you
There is a common misconception that people who resist AI are just ‘technologically challenged’ or stuck in the past. But for many professionals, the hesitation comes from a very different place: Pride in your work. You might feel that using AI to do a task you spent years mastering feels like ‘cutting corners.’ You aren’t
