Latest Industry Insights

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.

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 .

Leaders keep saying they want to “redesign work for AI”, but inside most organisations the reality is still pretty messy.

AI roles are having a moment. If you scroll LinkedIn right now, it feels like every second post is a new title: AI Engineer, LLM Engineer, Director of AI, AI Strategist. Underneath the noise, there's a real shift happening in how teams think about capability, not just headcount.​

An AI Blueprint is your organisation’s game plan for how people and AI will work together—what you’ll use AI for, how you’ll keep it safe and ethical, and how you’ll bring your workforce on the journey. It turns “we should do something with AI” into a clear, staged plan with owners, guardrails and measurable outcomes.