I have a confession: for a while, I kept putting this off.

Not because I was not interested in AI — quite the opposite. I was following the conversations, reading the articles, watching what was happening at companies like Meta, Google, and every organisation in between. I was curious. I was engaged.

But there is a particular kind of paralysis that comes when a topic feels too big, too fast, and too technical to know where to start. So I kept reading from the outside and telling myself I would get to it properly. Eventually.

I finally stopped waiting.

What made me decide to do it now

Part of it was professional. I work in HR, which means I sit at the intersection of people and organisational change. And AI is the most significant organisational change most of us will navigate in our careers. Not someday. Now.

I got tired of engaging with that change from a position of generalist knowledge. I wanted to understand it with more depth — how AI systems actually make decisions, where they create value in business functions, and where the risks and limitations are. The kind of understanding that lets you have a real conversation, not just repeat headlines.

But part of it was also personal. I have written a lot on this blog about being proactive about your own growth — about not waiting for your organisation to invest in you before you invest in yourself. It felt like it was time to practise what I preach.

What the course actually covered

I completed the Artificial Intelligence for Business certification with Simplilearn. The programme covers a solid range of ground: the fundamentals of how AI and machine learning work, how organisations are applying AI across functions like operations, marketing, finance and — yes — HR, and how to think about AI strategy and implementation from a business perspective rather than a purely technical one.

That last part mattered to me. I am not a data scientist and I am not trying to become one. But I do make decisions that affect people and processes, and I need to understand what AI can and cannot do well enough to ask the right questions, spot the right risks, and contribute meaningfully to conversations about how my organisation uses it.

That is what this course gave me. A much sharper frame for thinking about AI — not as something that happens to organisations, but as something organisations need to actively and thoughtfully choose.

What I keep thinking about since finishing it

One of the things that stayed with me is how much of AI’s impact in business depends not on the technology itself, but on the people decisions made around it. Which problems are we trying to solve? Who is affected? Who is in the room when those choices are made? How do we measure whether it is working — and for whom?

Those are not technical questions. They are people questions. And they sit squarely in the territory of HR, organisational development, ethics, and leadership.

The more I learn about AI, the more convinced I am that the organisations who navigate this well will not be the ones with the most advanced models. They will be the ones with the most thoughtful people practices around those models.

Why I’m sharing this

I am not sharing this to announce a career pivot or to suggest that everyone in HR needs to go and get certified immediately. I am sharing it because I think the conversation in our field about AI is still too often framed as a threat to manage or a trend to monitor.

I want to be part of a different conversation — one where people professionals are actively shaping how AI is used in their organisations, not just responding to decisions made elsewhere.

That starts with understanding. And understanding starts with deciding to learn.

If you have been thinking about doing something similar and keep putting it off — I get it. But the window for getting ahead of this, rather than just catching up, is still open. For now.

Further Reading:
On the scale of AI’s impact on HR right now
SHRM — The State of AI in HR 2026 (Full Report)
CNBC — 89% of HR leaders say AI will impact jobs in 2026
HRD Connect — AI in HR 2026: Predictions That Will Redefine People Strategy
On the people decisions around AI
MIT Technology Review — Creating Psychological Safety in the AI Era
Harvard Business Review — Workers Don’t Trust AI. Here’s How Companies Can Change That.
Harvard Business Review — How to Foster Psychological Safety When AI Erodes Trust
On HR professionals needing to move from observation to action
SHRM — AI in HR 2026: From Hype to Measured, Human-Centred Impact
AISera — Will HR Be Replaced by AI in 2026?