Is AI here to stay?
AI investment, hiring, and adoption are still accelerating globally, including in Australia. Governments, large enterprises, and startups are all building AI into products, operations, and services, not just running experiments. Reports now treat AI as a long-term general-purpose technology like electricity or the internet, not a passing trend.
What jobs will matter most?
Roles that are hard to automate, or that make AI useful and safe, will be especially important:
- AI and data specialists – AI/ML engineers, data scientists, data engineers, AI product managers, and AI safety / governance roles will keep growing as organisations scale AI systems.
- “Translators” and adoption leaders – people who sit between business and technical teams (product leaders, transformation leads, AI adoption strategists) and turn vague ideas into workable use cases and change programs.
- Human-centric roles – jobs relying on empathy, trust, and complex human judgment (healthcare, education, leadership, coaching, complex sales, HR business partners) are expected to be augmented by AI, not replaced.
- Skilled trades and on-site work – many hands-on roles in trades, field work, and care still need physical presence and human problem-solving, with AI acting as decision support and planning, not a substitute.
In short, the safest careers will be those where people use AI as leverage—to decide better, create faster, and solve more complex problems—rather than trying to compete with it head‑on.
Blog
Recent Articles
Stay updated with our latest articles
Career Resources
AI in the Enterprise: Beyond the Hype
The Gap Between Talk and Action
Every CEO wants to be "AI-first." Every LinkedIn post promises transformation. But here's the reality: most companies are still figuring out what actual AI implementation looks like.
Learning Out Loud
I Just Built My AI Avatar. Here's Why Every Recruiter Should Care.
A few weeks ago, I did what felt slightly ridiculous: I spent an afternoon making a digital version of myself using Nano Banana. The result? A polished, professional avatar ready to deliver content, pitches, and founder updates without filming myself seventeen times to get the lighting right.
Learning Out Loud
The future workforce isn’t “hire more people or automate everything.” It’s mixing bot, build, borrow, buy so you have the capability at the right time.
Most leaders still default to headcount: “We need to hire.” But AI, automation and shifting skills mean roles age quickly. Your real challenge is deciding when to automate, grow, rent or own talent—especially across AI, data and engineering.

.webp)

