AI literacy is not about learning to code or building models. It’s about understanding what AI can do, what it can’t, and how to use it in your everyday work.
This includes basic knowledge of how AI tools generate content, analyze patterns, or make predictions, plus the ability to question and interpret those results. It's also about being aware of ethical risks like bias, misinformation, and over-reliance.
In short, AI literacy gives people the confidence to use AI wisely, not blindly. That’s what makes it a cross-functional skill, not just a technical one.
AI Is Now Everyone’s Job
The days of treating AI as “IT’s responsibility” are over. Today, marketers use AI to write first drafts. Customer support reps use chatbots to handle inquiries. Operations teams use it to streamline scheduling, forecasting, and logistics.
This shift isn’t coming. It’s already here.
What used to be a specialized capability is now part of routine workflows. Leaders are realizing that if AI is embedded across tools, then AI fluency must be embedded across teams. Without it, critical tools get underused, misunderstood, or misapplied.
The strongest performing companies aren’t just building technical talent. They’re building a common language across the business so teams can collaborate with AI, and with each other, more effectively.
The Wake-Up Call: Skills Gaps Are Widening
AI is evolving faster than most companies can keep up. Many leaders underestimated how quickly generative AI would go from novelty to necessity. Now, they’re seeing the gaps in real time.
The real risk isn’t that jobs will disappear. It’s that people without AI fluency will be left behind by those who have it. That shift is already happening inside organizations, not just across them.
Corporate AI Training Is the Smartest Move You Can Make
Hiring AI experts is costly and competitive. Upskilling your existing workforce is faster, more scalable, and builds stronger alignment across teams.
That’s why companies are shifting toward internal AI training focused on applied fluency, teaching people how to use AI tools in real roles, not just in theory. This improves adoption, boosts productivity, and sparks innovation.
The Kendall Project helps organizations do exactly that. We train teams on AI literacy and apply the Kendall Framework to connect role-specific context with practical AI use. This gives employees the confidence to use AI tools effectively within their day-to-day workflows.
When people feel confident with AI, they use it not just more often, but more intelligently. That’s where transformation begins.
AI Fluency Drives Digital Transformation ROI
You can’t transform your business with tech alone. You need people who understand how to apply it in context.
This is where many transformation efforts stall. Companies invest in AI platforms, but fail to train the people using them. As a result, automation sits idle, insights get ignored, and returns fall short.
As Brendan McSheffery, Managing Partner of the Kendall Project says “AI is a team sport AI , success comes when the whole organization is trained, aligned, and ready to execute.”
Final Thought: Don’t Just Adopt AI, Prepare for It
AI is not just a tool, it's a shift in how work gets done. Preparing for that shift means training your people to use it wisely.
Companies that act now will innovate faster, retain top talent, and stay ahead of their competition. Companies that delay will face deeper skill gaps, slower progress, and growing risk.