The organizations making real progress on AI are not the ones with the most advanced tools. They are the ones where leaders understand enough to make sound decisions and teams have enough capability to act on them. Technology does not transform a business. People do.
Literacy is awareness, fluency is application
There is a difference between AI literacy and AI fluency that matters enormously in practice. Literacy is knowing AI exists and roughly what it does. You get that from reading headlines. Fluency is knowing how to apply it to a real decision, a real workflow, a real outcome, and knowing when not to trust it. Most organizations are building literacy. The ones pulling ahead are building fluency.
Executive fluency sets the ceiling
The decisions at the top determine everything downstream. If leadership cannot evaluate vendor claims, challenge implementation assumptions, and hold teams accountable for outcomes rather than activity, the whole strategy drifts. Executive fluency is not about becoming technical. It is the judgment to ask better questions and recognize good answers.
Capability has to reach the whole team
Almost every organization has one enthusiast running experiments. That person is valuable and is also not a strategy. Real capability means the whole team understands which tools apply to their actual work, how to evaluate what the AI is telling them, and where their own judgment still needs to lead. Knowing when to override the output is itself a skill, and it develops through structured practice.
Learning has to be continuous
A one-time workshop cannot track a technology moving this fast. Organizations that build ongoing, role-specific AI learning into their regular rhythm compound a capability advantage that sporadic training cannot match. Alberta’s workforce already knows how to develop skills in demanding environments. That culture is the asset. The AI content just needs to flow through it.
The province that builds genuine AI fluency, not surface awareness but working capability, will hold a talent and productivity advantage that late movers find very difficult to replicate.
Frequently asked questions
What is the difference between AI literacy and AI fluency?
Literacy is knowing AI exists and roughly what it does. Fluency is the working ability to apply AI to real decisions and workflows, and the judgment to know when not to trust its output.
Why is executive AI fluency important?
Leadership decisions set the ceiling for the whole AI strategy. Fluent executives can evaluate vendors, challenge assumptions, and hold teams accountable for outcomes rather than activity.
How should organizations build AI capability?
Through continuous, role-specific learning built into normal rhythms rather than one-off workshops, so capability compounds across the whole team instead of resting on a single enthusiast.
This piece is part of the Alberta Tribune series on applied AI in Alberta. See also The Imagination Gap Is the Most Expensive Gap in Business and Good AI Governance Is How Alberta Moves Faster, Not Slower.
ZAK is the founder of AIwithZak.com and CEO of ORKA AI. He writes on provincial AI strategy and policy at AI Alberta, and works with leadership teams across Alberta and Western Canada on applied AI strategy and execution.
Is your team building real AI fluency, or just collecting awareness?
