Most "AI and the future of work" content is either consultant hype or doomer clickbait. The reports below are our reading of the Australian primary sources — Jobs and Skills Australia, the Indeed Hiring Lab, the Productivity Commission, and ABS — with what each finding means for the people we serve. Curated, opinionated, sourced.
Six findings from the federal government's flagship workforce report. The augmentation framing that almost nobody is getting right, the named occupations being hit, where the 2035 growth actually is, the 27% of workers already using AI in secret, the employability gap that beats qualifications 7:1, and the 1 in 4 Australians who can't engage with Gen AI at all. Includes the full per-occupation augmentation/automation exposure data.
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Report · May 2026Industry-by-industry breakdown of how Gen AI is reshaping Australian work — financial services, professional services, marketing, retail, healthcare, construction, education, ICT, and the public sector. Named roles at risk, named roles growing, the pathway in and the pathway out. Sourced from JSA Employment Projections 2025–2035 and the Gen AI Capacity Study.
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Deep dive · May 2026What the full Jobs and Skills Australia exposure dataset actually shows when you read all 357 occupations end-to-end. Seven findings, seven charts: the augmentation–automation correlation that breaks the comforting framing (r = 0.73), the four-quadrant split, the sector league table, the skill-change treadmill, the twelve genuinely stranded occupations, the specialisation-vs-hybridisation strategy split, and why Pathway C is necessary for more than just clerks. Routed to the Three Pathways throughout.
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When we cite a number on any of these reports, we cite from a primary source. These are the ones we treat as load-bearing for Australian AI-workforce claims. Global sources (WEF, OECD, McKinsey) are useful for cross-validation but not for AU-specific decisions.
The flagship Australian source. 2025 Jobs and Skills Report, the Gen AI Capacity Study (Our Gen AI Transition), the Occupation Shortage List, and the Recruitment Experiences and Outlook Survey. Federal, CC-BY 4.0, current.
Quarterly job-postings analysis. The leading signal for what employers are actually paying for, in close to real time. Our source for AI-mentioned job posting growth and high-exposure occupation share.
The 2024–25 inquiry into AI and productivity. The macroeconomic context for everything else and a useful counterweight to industry-funded reports.
Labour Force Survey (monthly), Census (2021), Survey of Disability Ageing and Carers. Raw demographic and employment data we cross-check JSA against.
The "27% shadow use" figure originates here. Their workforce reports are industry-funded but methodologically transparent — we cite them with attribution and read them critically.
Jobs and Skills Council representing technology, finance and business sectors. Useful for the VET-side perspective on AI/digital skills embedding (cited in JSA's 2025 report).
The reports above are our public reading of the landscape. They're public because the data is public, and because we'd rather demonstrate we know the landscape than make you trust us blind.
What we don't publish is the personalised mapping: given your specific occupation code, your location, your existing skills and your financial runway — what does this data mean for you specifically, and what's the credible next move?
That's what the assessment does. And it's why people pay us.