You Need AI Literacy: Here’s How to Get It

WORRIED about AI? You’re not alone. About three-quarters of adults have concerns about where AI is taking us. And no wonder. Doomsayers predict that AI could destroy humanity. Evangelists promise that it will usher in a golden age. The truth is that nobody knows exactly what’s coming. But you can prepare yourself to succeed.

Consider a thought experiment. Two explorers are trekking through a hostile jungle. One is “jungle literate,” knowledgeable and experienced. The other is a novice. The experienced explorer studies the terrain, recognizes danger, and chooses a sensible route. The novice blunders ahead without understanding the risks. It’s easy to predict who is more likely to make it through safely.

We can expect a similar divide in the workplace. AI-literate professionals will be better positioned to navigate an uncertain future. Those with limited understanding risk falling behind. It’s a jungle out there, and strategic AI literacy can help you navigate it.

I’ve watched a similar transition before. When personal computers surged into business, much of the early attention went to learning word processors, spreadsheets, and other programs. Those skills mattered, but computer literacy became broader: understanding what computers could do, recognizing where they could add value, and knowing enough to work effectively with technical specialists.

AI literacy is developing in much the same way. Knowing how to prompt ChatGPT, Gemini, or Claude is useful. But strategic AI literacy is broader.

I chose the word strategic deliberately because the goal is more than AI proficiency. It is to develop the understanding to recognize where it can create value, what risks to watch for, and how to adapt rapidly as AI and the workplace change.

I view strategic AI literacy as four dimensions: Know, Use, Grow, and Engage.

1. Know: Build a Useful Mental Model

Imagine you’re driving down the street and the light turns red. You put your foot on the brake because you know red means stop. That bit of conceptual knowledge keeps you safe.

AI literacy is also based on conceptual knowledge. You do not need to understand the technical details, but you do need a useful mental model of what AI is doing. You should understand, for example, that language models are trained on enormous amounts of data and generate responses by identifying patterns. They can produce remarkably useful answers but are not an omniscient source of truth. Once you see AI as a powerful pattern matcher, you ask better questions and judge the answers more critically.

2. Use: Apply AI to Real Work

You learn AI by using it.

Start with work you already do. Try AI for research, planning, writing, analysis, meeting preparation, or exploring a decision. See where it saves time, where it improves quality, and where it gets in the way.

The important part is to experiment. Don’t simply accept the first response. Try another approach. Ask for alternatives. Question the answer. Compare results. That is how you begin to develop a practical sense of what AI does well.

A textbook understanding of AI is not enough. You need hands-on experience.

3. Grow: Use AI to Strengthen Your Own Capabilities

Imagine learning to play tennis. As you get better at the game, you also develop strength, coordination, and fitness that transfer to other parts of your life.

Similar growth is possible with AI. You can use it to solve an immediate problem while also strengthening your thinking and communication skills.

Ask AI to challenge an argument, surface assumptions, explain something you don’t understand, role-play a skeptical customer, or rehearse an important presentation. Ask it what you may be overlooking.

Used to engage your brain, AI can help you become more capable. Used simply to replace your thinking, it can lead you in the opposite direction. The win is to come away from the interaction, knowing more or performing better than before.

4. Engage: Look Beyond Your Own Task

AI doesn’t affect only individual productivity. It changes workflows, roles, business processes, and relationships.

So look beyond “Can AI do this?” Ask what happens if your team uses it this way. Who is affected? What new risks appear? What happens to privacy, accountability, trust, or the way decisions get made?

You don’t need to become an expert in AI governance. You do need enough context to recognize that a useful tool can have ripple effects. That broader perspective is part of what makes AI literacy strategic.

AI Literacy in Action

Imagine two people who each decide to create a side hustle selling clever, topical T-shirts online.

The passive AI user asks for ten funny slogans, chooses a few, uses AI to create designs, puts them on a website, and promotes them on social media. Will they succeed? Maybe, if they’re lucky. Will their business thinking improve? Probably not much.

The AI-literate user uses AI to identify successful competitors, analyze customer reviews, explore market niches, challenge assumptions in the business plan, and role-plays a skeptical customer reacting to marketing drafts. This user has a better chance of success.

Both use AI. But only one uses it to improve strategy and develop skills that can transfer to the next project.

Where Do You Start?

There is no single curriculum for becoming AI literate. People have different jobs, different levels of experience, and different needs.

The good news is that you can start with the AI tool already in front of you.

That is largely how I began. When I first encountered ChatGPT, I was fascinated by what it could do. So I started asking AI questions. How does this work? What can it do? Where does it fail? One question led to another, and over time I developed a much richer understanding of both the technology and how I could use it.

You can do the same. Ask AI to explain how large language models work, what training means, why they sometimes make mistakes, or what an agent does. Ask follow-up questions. Request examples. If the explanation is too technical, ask for a simpler one. If you think you understand something, ask AI to quiz you or challenge your explanation.

Use judgment as you learn. When an answer seems surprising, internally inconsistent, very specific, or important to a consequential decision, look more closely. Sometimes that means checking the original source. Sometimes it means comparing the answer with another AI model. And sometimes it simply means stopping and asking, “Does this make sense?”

You don’t need to know exactly what to ask. Let AI lead the conversation.

Try This Prompt

“I want to become more AI literate in ways that are useful for my work. Ask me up to six brief, non-overlapping questions, one at a time. Adapt them to my answers and focus on one concrete work task, my current knowledge and use of AI, what I want to improve, any important constraints or risks, and how I would judge success.

Then identify my main strengths and gaps and recommend no more than three practical next steps. Make the advice specific to my work, clearly state the first action I should take, and keep the discussion appropriate to my experience.”

Strategic AI literacy isn’t something you finish. You develop it by learning, using, questioning, evaluating, and adapting. And you can start today. It’s easier than you think.

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Charles B. Kreitzberg is a cognitive psychologist, technologist, author, musician, and user experience designer. He has worked with computers since the 1960s and has spent his career helping people understand and use complex technology. In 1982, he founded Cognetics Corporation, an award-winning user experience design and consulting firm. He later served as Senior UX Advisor at Princeton University. His new book, AI Can Make You Smarter: Practical Skills. Sharper Thinking. Business Value, shows professionals how to use AI to strengthen thinking, learning, communication, judgment, and performance.

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Posted by Michael McKinney at 07:12 AM
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