I was exposed recently: I could read and write in cursive better in the third grade than I can now in my thirties.
That feels strange to admit, although the explanation is fairly obvious. I stopped practicing.
There was a time when writing was not optional. You could not backspace a thought or rely on autocorrect to clean it up. You had to slow down, form each letter, and think about what you were trying to say. Somewhere along the way, writing shifted from paper to a keyboard, spelling shifted to autocorrect, and I gratefully let technology take over.
I remember sitting in front of a blank sheet of paper—or later, a blank computer screen—trying to find a research idea or the right wording for something. When I discovered that Microsoft Word could suggest synonyms, it felt like I had found a goldmine. It did not write the sentence for me. It just helped me get unstuck.
Now AI can do considerably more than suggest another word. It can organize scattered thoughts, summarize information, spot patterns, improve an email, and turn an unfinished idea into something coherent. I use it. I appreciate it. I also keep coming back to one question:
What happens to the skills we stop having to practice?
Cursive is a fairly harmless example. Most of us can function perfectly well without it. But writing asks us to decide what we mean, choose what matters, and consider how someone else might receive it. Those are not only writing skills.
The same question follows technology into the workplace. A system can organize a customer history, flag risk, recommend a response, or identify a pattern. That can make work faster and more consistent. It can also make an answer look more certain than the information behind it actually is.
This is where my interest in psychology becomes useful. Behavior can reveal patterns, and context can help explain why something may have happened. But a missed deadline, an unusual request, or a change in communication does not tell us exactly what another person is thinking.
An interpretation is still not a fact.
That distinction matters in customer relationships, business decisions, and ordinary conversations. The more capable our tools become at producing polished explanations, the more important it may be to notice what is known, what is missing, and what has only been inferred.
I do not think technology is the problem. It can help people ask better and more creative questions. It can surface connections that might have remained buried and give someone a place to begin when the blank page feels impossible.
But convenience changes behavior. When something is consistently done for us, we practice doing it less. Maybe the useful question is not whether AI will make people less thoughtful. That feels too broad, and I do not know the answer.
Maybe it is simpler: Which abilities are we comfortable practicing less, and which ones do we still need to protect?
For me, that means appreciating the help while still asking whether the polished answer is accurate, whether the interpretation is fair, and whether I could explain the reasoning in my own words.
I am not planning to return to handwritten research papers, and my cursive may be beyond saving. But I do not want ease to become the same thing as understanding.