Latest Industry News

Artificial intelligence is reshaping every industry, every role, and every workforce on the planet. But there's a quiet, uncomfortable truth sitting at the centre of this transformation: the people building it don't look like the people most affected by it.

If you’re hiring a data scientist in Australia right now, you already know the market is competitive. What you might not know is exactly how competitive — or what it’ll cost to make an offer that actually gets accepted.

Australia faces a projected shortfall of 60,000 AI professionals by 2027, and the gap is widening. With only around 2,000 AI graduates entering the workforce each year, the maths simply doesn’t work.

AI product managers sit at the intersection of business strategy and technical AI execution. They’re the person who translates what the organisation needs into what the AI team builds — scoping what’s feasible, prioritising what matters, and making sure the thing that ships actually solves the problem it was designed for.

Machine learning engineers are the people who take models out of notebooks and put them into production. If data scientists ask “what can we predict?”, ML engineers answer “how do we make that prediction reliable, fast, and maintainable?”

According to CSIRO’s National AI Centre, 68% of Australian companies have now integrated AI into at least one business function. Government investment is growing, enterprise spending is up, and the business case for AI has never been more widely understood.