Australia's economy keeps growing and our population is at record highs, yet Australians aren't getting any richer, and the reason is hiding inside the national accounts. With the latest data showing GDP per person slipping again, after a record per-capita recession in 2023-24, and cost-of-living pressures still acute, this disconnect between headline statistics and lived reality has rarely been more visible. While "lucky country" and cost-of-living takes are everywhere, this story offers a fresh, structural reframing: the productivity stall is a rich-world-wide phenomenon, and what has kept Australia's headline numbers growing is record migration rather than rising prosperity per person. Through five interactive charts, this article guides readers through the numbers. It opens by unmasking the paradox of rising total GDP versus declining per-person wealth, then decomposes the gap to reveal a seized productivity engine, where we are working more hours but producing barely more per hour. A cross-country comparison shows the stall is shared across advanced economies. The narrative then turns to what sets Australia apart, net overseas migration swamping natural increase before landing on how unevenly the squeeze falls: hardest on working, mortgage-holding households, lightest on retirees. Anchored in rigorous, open data from the ABS (National Accounts, Living Cost Indexes, and Population data) alongside Our World in Data, these visualisations show that headline GDP is the wrong scoreboard. Ultimately, the fix must be productivity, not population. Until that engine restarts, the lucky country is running on a fuller room, not a richer one.

A data story exploring international student concentration, casual employment patterns and cost-of-living pressure in Australia.

Milestone Report for the Data Science Capstone (Course 10) in the Data Science with R Specialization on Coursera

This is an interactive five-chart data story illustrating how AI technologies are influencing learning, grades, emotional reactions, and information behaviors in university settings.

Every senior developer was once a junior: someone allowed to be slow, to ask obvious questions, and to learn the craft on the job over five or six years. Generative AI is quietly cancelling that deal, and hardly anyone is asking what happens next. This pitch follows that under-told story from a human angle: the collapse of the developer career ladder. Five interactive charts, all built from current open data, make one argument. AI tools went from novelty to default among developers in two years (Stack Overflow: 70% to 84%). Employers now ask for AI skills in their ads (Indeed Hiring Lab). Then the twist: software development postings have collapsed since 2022, down 56% in Australia and 68% in the US, while "AI-proof" work like nursing held steady. The firms still hiring want experience juniors can't have yet, and Stanford finds employment among 22-to-25-year-old developers already down about 20%. Finally, a transparent scenario model asks the title's question: if seniors are grown from juniors over roughly six years, and we stopped hiring juniors in 2022, the senior shortage of the 2030s is already on the books. Most AI coverage asks "will AI take my job?" This asks the quieter, scarier one: if AI takes the entry-level job, who's left to become the expert? It speaks straight to your student and early-career readers, it carries an Australian angle, and it lands on something useful: the fix, hiring and training juniors now, is cheap and available. The window isn't.

Cities On Fires