Core question
What is AI literacy for a business professional?
Short answer
The practical ability to frame a request well, judge whether the answer is any good, know when something needs verifying, protect information that should not be shared, and recognize where human judgment is still required. It does not require coding, data science, or any understanding of how the models are built.
There is a great deal of confusion about what AI literacy actually means, and most people make it far larger than it needs to be. That does real damage. When executives believe literacy means technical mastery, two things happen. Some conclude they can never get there and delegate the whole subject. Others overcorrect and commit to initiatives that are poorly suited to their business, because they cannot yet tell a real opportunity from a compelling demonstration.
Practical literacy is a short list. Can you give the tool a clear task, a role, and enough context to work with? Can you look at what comes back and tell whether it is actually good, or only fluent? Do you know which claims need checking before you act on them? Do you know what information should never go into a tool that has not been approved? And do you know which parts of the work still require a person?
Executives need one layer beyond that, which is the ability to interpret what AI means for the business and to evaluate recommendations other people bring them. That is judgment applied to a new subject, not a new technical skill.
Success begins with literacy, not delegation. Someone who is AI literate can use the technology without treating it as either magic or as truth.