Turning Point
Photo by Quilia on Unsplash
By C.R.
There's a moment when something shifts from being encouraged to being expected.
In my company, the early signal around AI was unmistakable — but still informal. Our CEO invested real time in it. Sitting with people. Helping them get set up. Running an all-hands that left no ambiguity: this matters here.
That alone moved the needle. But then something changed the nature of the conversation entirely.
An AI course became mandatory. Not symbolic, not strongly recommended — mandatory. A follow-on requirement came with it: AI had to show up in actual work. Usage would be tracked — not publicly, not punitively — but with reminders if training remained incomplete or application hadn't begun.
Enthusiasm alone can read as a passing priority. A mandate alone can feel like compliance theater. What happened here was neither.
The two didn't compete — they reinforced each other. The CEO's personal investment made the learning feel legitimate. The requirement made it unavoidable. Together, they produced something that neither could on its own: genuine adoption.
I've worked in both Australian and American organizations, and the contrast wasn't lost on me. This felt distinctly American — not in tone, but in how leadership velocity works: decisions forming at the top and moving through the organization quickly and without dilution.
And yet it wasn't entirely unfamiliar. My Australian company has long run on a design thinking orientation — test, learn, iterate, adjust. In some ways, the shift into AI felt like a natural extension of that posture.
But something here was different in kind, not just in scale.
This wasn't a methodology being applied. It was a capability being built — across every person in the company, simultaneously, in real time.
And the CEO's early intervention looks more prescient with each passing month. A recent Axios piece on AI fluency — America's New Class War - framed the emerging divide plainly: the real gap isn't between people who use AI and those who don't — it's between those who are becoming fluent and those who are falling behind. That gap doesn't self-correct. It has to be led.
What’s stayed with me over the last couple of months isn’t the tool.
It’s the quality of the leadership that introduced it — and then followed through all the way into adoption and integration. The message was clear and stayed clear: this is expected, time will be made for it, and it will show up in your real work.
No ambiguity. No mixed signals. Rarer than it should be.
When that kind of clarity is in place, people stop deliberating about whether to engage — and start working out how. Learning stops being a personal initiative and becomes part of how the organization functions.
That's a different thing entirely.
C.R. is a senior leader inside a large global organization, writing from lived experience of introducing, adopting, and integrating AI in real time.