Latest Learning Out Loud

“AI engineer”, “data scientist”, “ML engineer” — if these titles all sound like the same job described three different ways, you’re not alone.

Let’s address the elephant in the room. With AI avatars conducting first-round interviews, algorithms predicting candidate success, and automated sourcing becoming the norm, it is easy to assume that the role of HR and recruitment is shrinking.

AI is no longer a “someday” topic for retailers. It’s here in everyday conversations – from personalisation and loyalty to demand forecasting and workforce planning. Most retailers I speak with know this. They’re reading the reports, talking to vendors, and running small pilots.

Most AI rollouts don’t fail because the tool is bad. They stall because the organisation never builds an adoption system around it. People try it once, feel unsure, worry about risk, then default back to “the way we’ve always done it” the minute things get busy. If you’re hearing “we trained everyone” but you’re not seeing behaviour change, this is why.

For boards across Australia and beyond, the question is no longer if AI will reshape their business—it’s how fast and how well they can lead that transformation.

AI is changing what it means to be a “developer”. The next generation of engineers will win by knowing how to build with AI, not just code from scratch. For businesses, that shift has real implications for how you hire, structure teams and think about AI talent .