Learning has always followed a logical progression; AI is just next in line.

In early education, we learn how to coexist. In primary and secondary school, we acquire foundational skills and accumulate knowledge. In college, we learn how to learn. In post-graduate and professional life, learning becomes self-directed, purpose-driven, and grounded in judgment rather than memorization.

AI represents the next inflection point in this continuum. It is not a substitute for thinking, discernment, critical thinking, or responsibility; it is just another force multiplier for those who already understand how they learn, reason, and decide.

The organizations and individuals who risk the most and may struggle with AI are not lacking the right technical tools. They are lacking AI literacy; an understanding of common terminology/concepts, how to craft precise inputs, evaluate outputs, recognize AI limitations, manage inherent risk, and apply human judgment where it matters most.

Before evaluating, selecting, or implementing any AI technology, invest in AI literacy first.

A responsible future with AI depends less on the models we choose and more on the humans who govern their use. Regardless of the method of obtaining a functional understanding of AI literacy, self-study, YouTube, free or paid online courses, good books and magazines, or virtual/in-person classes or one-on-one/team coaching; to recommend an overused Nike quote, “Just Do it”.

If this resonates, it may be worth stepping back and strengthening a learning foundation before adopting the technology.