The Two Ways People Are Getting AI Wrong (And Both Are Costing Them)

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Purposeful Path Newsletter — Edition 10

I keep having the same conversation lately, just with different people wearing different expressions.

One person tells me AI is coming for their job. They are angry about it, arms crossed, refusing to open a chatbot even once because doing so would feel like giving in to something they do not trust. Another person tells me they asked AI a question this morning and loved the output and simply did whatever it told them to do. No second thought. No pause to ask whether it was even true. They just took the answer and moved forward.

Two very different people. The same underlying problem.

I want to talk this week about a simple picture that has been on my mind. A lantern in the dark does not remove the journey ahead of you. It simply lets you see enough of the next few steps to walk them safely. Right now, I am watching people respond to AI in two very different ways, and both of them end with someone walking a path they cannot actually see.

Refusing to Pick It Up

This is the anger and avoidance. It often feels justified, even noble. “I refuse to depend on a machine.” “I will not let this thing replace me.” There is something in this response that feels like conviction, like standing firm on principle.

The problem is that refusing to understand a tool is not the same thing as refusing to be affected by it. AI is already reshaping hiring practices, healthcare workflows, customer service, education, and dozens of other industries. This is happening whether any individual person chooses to engage with it or not. The person who refuses to learn how AI works is not protecting their job. In many cases, they are making themselves easier to overlook, because they never learned to use the very tool that could have made their own work sharper, faster, and more valuable.

Anger can feel like strength. Very often, underneath it, there is simply fear that has not been named yet. Fear of becoming irrelevant. Fear of a world changing faster than anyone can process. Fear of losing control over an already uncertain future. That fear deserves compassion. But fear that refuses to look directly at what it fears will keep a person walking blind, even while believing they are being careful.

Handing It Over Completely

This second pattern looks like the opposite response, but it produces a similar kind of blindness. Here, a person accepts whatever AI tells them without ever checking it. It feels efficient. It feels like trusting a helpful assistant. But there is real cost building quietly underneath the convenience.

Researchers at MIT’s Media Lab ran a study in 2025 that put language to something many of us have sensed but could not quite name. They had people write essays three different ways. One group used AI. One group used a search engine. One group used only their own thinking. The results were interesting. 

The group using only their own minds showed the strongest brain connectivity and the deepest engagement with the material. The AI group showed measurably reduced brain connectivity and could recall far less of what they had supposedly written themselves. Researchers began calling this pattern “cognitive debt,” borrowing language from the world of finance. 

The convenience is real in the moment. The bill for that convenience comes due later, in a mind that has quietly grown less able to do the very thinking it outsourced.

A separate study surveying 666 people in 2025 found a clear, measurable pattern. The more frequently someone used AI tools, the lower their critical thinking scores tended to be. What surprised researchers most was who scored the lowest. It was not older adults who might be assumed to be less tech savvy. It was younger, heavier users, the very people most people assume are simply “digital natives” who would be fine.

I do not want to leave you with the impression that using AI itself will damage your brain. That would not be accurate, and it would not be fair to the research either. A study published in Nature this year proposed something researchers called the “3R Principle,” standing for Results, Responses, and Responsibility. What they found was that neuroplasticity itself is directionally neutral. 

AI used passively, accepted without question, does wear grooves in the brain that lead toward atrophy over time. AI engaged with critically, questioned, checked against outside sources, and pushed back on, actually strengthens the very decision making circuits that people fear losing. Same tool. Same brain. The outcome is shaped entirely by how a person chooses to use it.

Testing What You Are Given

Scripture already gave us this instruction long before anyone imagined a world with artificial intelligence in it. Paul wrote to the Thessalonians, “Test everything; hold fast to what is good” (1 Thessalonians 5:21). That single verse describes exactly what wise engagement with AI requires. Not rejecting it outright. Not accepting it automatically. Testing it, weighing it, and keeping what proves true and good.

This is Important

Understanding how AI actually works makes that testing possible. AI does not know things the way a person knows things. It has no access to truth. It cannot verify reality. What it does is predict the next plausible sounding word based on patterns in the enormous amount of text it was trained on. That means it can sound completely confident while being completely wrong. It means it can produce something that reads beautifully while containing errors a careful reader would catch immediately. 

Once you truly understand this one fact about how AI works, both unhealthy patterns lose much of their pull. You cannot stay afraid of a tool you understand well enough to use wisely. And you cannot blindly hand your thinking over to a tool you understand well enough to know its limits.

This is exactly why I wrote Wise With AI. It was never meant to be one more voice adding to the noise around AI anxiety, and it was never meant to be a cheerleading manual either. 

It walks through a framework I call DISCERNMENT, built specifically to help you detect dependency patterns before they take root, investigate information instead of accepting it automatically, and evaluate what AI gives you against your own values and knowledge rather than simply trusting the confident tone it delivers everything in.

A Small Step for This Week

Here is a simple practice you can start today, something small enough to actually stick. The next time you use AI for anything at all, whether it is drafting an email, answering a question, or helping you think through a decision, pause before you accept or reject what it gives you. Ask yourself one question.

“Is this actually true, and whose job was it to think this through, mine or the machine’s?”

That is the entire practice. It costs you about ten seconds. It keeps your hand on your own lantern while still letting AI be a useful tool.

A Path Worth Walking Wisely

None of this is about fear, and none of it is about blind trust. It is about testing what we are given, holding fast to what is good, and staying present enough in our own thinking that AI remains a tool that serves us rather than one that quietly begins making our decisions for us.

If this is a topic that resonates with you, especially if you find yourself somewhere in either pattern I described today, I would love for you to spend some time at WiseWithAI.org. You will find the full DISCERNMENT framework there, along with resources built to help you use AI as a genuine tool for good, one that serves your calling and your family rather than quietly reshaping either one without your notice.

Carry your own lantern. Let it light the next few steps. And keep walking the path.


Christi Pathlight Coaching — lighting the path, one wise step at a time.

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