Latest Industry Insights

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.

If you read or heard anything about Nvidia’s CEO Jensen Huang today, you probably saw the quote that’s now everywhere in the talent world: “You’re not going to lose your job to AI—but you’re going to lose your job to someone who uses AI.”

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.

In 2026, the talent gap in tech has shifted from “who can code” to “AI‑Plus” Engineers—professionals who combine traditional software engineering with AI integration, MLOps, and domain‑specific expertise.

“Women in AI” is front‑and‑centre on LinkedIn and at AI meet‑ups, with hashtags like #WomeninAI and #WomeninGenAI. Australia now has Women in AI Australia, APAC‑wide Women + AI hubs, and a growing list of “women‑to‑watch” in AI leadership, product, and investment.