AI Fluency: The Skills for Thriving in a Changing World
Recently, the team at Zapier published an article on AI fluency, and it’s one of the clearest explanations yet of why simply having AI tools isn’t the same as knowing how to use them.
AI is everywhere. Copilot write our emails. Chat tools summarize our meetings. AI drafts reports, generates code, builds presentations, and analyzes data in seconds.
But here’s the real question: Are we actually fluent or just experimenting?
What Is AI Fluency?
AI fluency isn’t about being a data scientist. It’s not about coding neural networks. And it’s definitely not about memorizing technical jargon!
AI fluency is the ability to:
- Understand what AI is good at, and what it’s not
- Ask better questions to get better outputs
- Evaluate responses critically instead of accepting them blindly
- Integrate AI into workflows in a meaningful way
Think of it like learning a new language. You don’t become fluent by downloading Duolingo.
You become fluent by practicing, experimenting, making mistakes, and improving.
AI works the same way.
The Four Levels of AI Fluency
In their article, Zapier outlines their “AI fluency rubric,” a framework for describing how individuals might be using AI currently and what their personal next step can be:
- Unacceptable - Avoiding AI entirely or dismissing it as hype.
- Capable - Using AI occasionally for tasks like drafting or summarizing.
- Adoptive - Regularly integrating AI into daily workflows.
- Transformative - Designing systems and processes that leverage AI at scale to create new value.
Today, globally, most professionals sit somewhere between capable and adoptive.
The opportunity for BW? Moving toward transformative.
Why this matters (Especially Now…)
AI isn’t slowing down. It’s accelerating.
Organizations who build fluency will:
- Work faster without sacrificing quality.
- Make more informed decisions.
- Focus on higher-value strategic thinking.
- Lead change instead of reacting to it.
Organizations who don’t build AI fluency?
These organizations risk becoming dependent on AI without understanding it, or being outpaced by competitors who know how to wield it strategically.
AI fluency is quickly becoming a professional differentiator. Copilots and AI assistants are tools.
Fluency is the skill. And the people who combine human judgement, creativity, and critical thinking with AI capability? They’re going to lead the next wave of innovation.
The question isn’t whether AI will change how we work. It already has. The real question is: Will you just use AI or will you become fluent in it?