Give People a Reason
Why AI Adoption Is a Behavioral Problem, Not a Technology Problem
Adoption of anything is complicated.
But the answer is more simple than we often want it to be.
People need a good reason.
One of the recurring challenges I’ve seen with emerging technologies is that they follow a familiar pattern. Excitement spikes. Expectations inflate. Capital flows. Thought leadership proliferates. Then reality shows up and asks a very basic question: So what?
This pattern is well illustrated by the Gartner Hype Cycle. A rapid ascent driven by promise, followed by a sharp drop when that promise fails to translate into lived value. Eventually, some technologies recover and find their footing. Others quietly fade away.
I’ve watched this cycle up close for years in XR—Virtual Reality (VR) and Augmented Reality (AR). Every new headset, platform, or breakthrough momentarily re-energizes the market, only for momentum to stall again when the novelty wears off and the friction remains. The Apple Vision Pro is an amazing platform, but even the consumer electronics giant has struggled to find a foothold in XR.
At some point along the way, it hit me:
People need a good reason to put something on their face.
Read that again, and then replace the ending.
People need a good reason to __________
– get into a self-driving car
– talk to Alexa
– use AI regularly
– trust an automated decision
– change how they work
This is not a technology problem.
This is a human behavior problem.
Technology adoption does not fail because the tools are insufficiently powerful. It fails because the reason to change is unclear, misaligned, or emotionally unconvincing.
From an individual perspective, this is why new tech is fun for 10 minutes and then fades away. It’s why VR headsets sell at Christmas and then collect dust on shelves, it’s why ChatGPT use skyrocketed, but OpenAI can’t cashflow the business. It’s why most people still don’t understand the superpower that AI gives us.
From an executive perspective, this is where many AI initiatives quietly break down.
Organizations talk about efficiency, automation, and transformation. But individuals experience disruption, risk, loss of control, and uncertainty about their role. When those two narratives collide, behavior does not change—no matter how capable the technology is.
Changing human behavior requires a reason that is:
Personally meaningful, not abstract
Safe enough to experiment with
Aligned with incentives and identity
Reinforced through daily workflows, not one-time mandates
This is why AI “pilots” often stall. People comply just enough to appear supportive, but not enough to fundamentally change how decisions are made or work gets done.
Executives often ask, “How do we get people to use AI?”
The better question is, “What reason have we given them to change?”
Until AI is framed not as a tool to be adopted, but as a capability that meaningfully improves judgment, reduces cognitive load, or protects decision quality, behavior will remain unchanged.
This is also why adoption cannot be delegated solely to IT, innovation teams, or data science groups. Behavioral change lives at the intersection of leadership, incentives, trust, and operating models. It is a systems problem.
If you are leading an organization right now, the most important work is not selecting the right AI tools.
It is answering, clearly and credibly:
What decisions improve if AI is used well?
What risks are reduced, not increased?
What becomes easier for people tomorrow than it is today?
What doesn’t change, so people feel grounded?
Reason Drives Adoption
The ones who found a good reason to put VR or AR devices on their face will do so happily and regularly. The hardware fades into the background because the value on the other side is clear.
The same is true with AI and other emerging technologies. Every day, early adopters find ways to weave these tools into their lives—not because they are more technical, but because the tools meaningfully help them think, decide, or work better.
At that point, it stops feeling like adoption. It becomes habit.
People don’t adopt technology in the abstract. They repeat behaviors that reliably produce value. When the reason is clear, personal, and trustworthy, behavior changes on its own.
Give People a Reason
If your organization is experimenting with AI but struggling to move from curiosity to consistent behavior change, pause before adding more tools.
Start by articulating the reason.
Make it human. Make it specific. Make it safe.
That clarity—not the technology itself—is what determines whether adoption actually happens.
Invent A Reason
If you as an individual are not finding ways to incorporate AI into your life (business or personal), create your own reason (ask ChatGPT or Gemini) and discover the power of AI to learn, grow, and adapt to a changing world.
Example Prompt:
I am interested in ______ and want to see how AI can help me optimize learning, produce higher quality content, and grow in some way. I need a good reason to use the tools available, explore and push through some of the behavioral psychology holding me back. Give me a convincing reason and create a plan for me to engage regularly to engage with AI tools.
Give it a go and set an intention to use the reason for 30 days and measure the impact. Remember discipline > motivation.
Connect and follow to learn more and engage with AI.