

"Is this coming for my job?"
Your employees need to understand that AI isn't a threat to their jobs, but a tool that can support them. If your intent is pure, communicating it is key.

"Can I actually rely on AI?"
Who is held accountable when AI is wrong? Your employees need to know they can trust the tool and that there's accountability checks built in when (not if) things go wrong.

"Do I believe in my leaders' intention for rolling out AI?"
What's your intent, and do your employees trust it? Trust in leadership is where most change initiatives fail. People don't want to follow you off a cliff.

"Can I figure this out?"
Has leadership really provided training and advice on how to apply AI best to their jobs? Employees need to know the bounds of what is and isn't acceptable, which greatly impacts any initiative. Common sense isn't common until it's made common.

"Is this happening with me or to me?"
Does your team have a say in how AI is used and deployed? Specifically, how it could be used to monitor them will impact adoption.

"Would I admit if I were lost?"
Whether they have the training, the time, and the safety to admit struggle or question what AI produces.
Most people finish in under 4 minutes. 18 questions total with one tap each.
Any leader with a good view of how AI is being adopted across the organization. This includes CEOs, Integrators, CHROs, COOs, or any functional leader (especially if you're responsible for change initiatives. This survey is written to get a view from the leader's seat.
GE Strategy Group, formerly Gallaher Edge. Founded by Dr. Phillip Meade and Dr. Laura Gallaher, who led the cultural transformation at NASA's Kennedy Space Center after the loss of Columbia. Drs. Phillip and Laura also authored "The Missing Links: Launching a High-Performing Company Culture."
No. This is your view. This predicts what your people believe. The full AI Readiness survey is deployed organization-wide to assess your employees' actual beliefs about the tools.
We store your information in GoHighLevel, our contact management system. GoHighLevel processes this data on our behalf and does not sell it, per their Data Processing Agreement.

I've spent most of my career around organizations trying to install something new, whether its new systems, new processes, or a new technology. At Kennedy Space Center, I watched us attempt it under about as much scrutiny as an organization can be put under. The pattern has been consistent everywhere I've seen it since: the technical work almost always succeeds. The part involving people is where it comes apart.
AI is no different. Somewhere between 70 and 80% of AI projects fail to deliver what was promised, and when you look into why, it's rarely the model. When tools get deployed and beliefs never move, change always stalls.
In our book, The Missing Links, we ask you to picture a tree full of monkeys sitting on branches at different heights. The ones near the top look down and see a great many smiling faces looking back up at them. The ones at the bottom look up and see something considerably less flattering. That isn't a joke about hierarchy. It's the most dependable thing I know about organizations: your view of your own company depends a great deal on where you're standing in it.
So this asks you what you believe your people think. If you want to go further, the full survey asks them directly, and shows you the distance between the two answers.
© GE Strategy Group - Copyright 2026 - All Rights Reserved - Privacy Policy