The Class of 2030 Hasn’t Started
Australian trade apprenticeship commencements fell for a third year while completions hit records. Only one of those numbers tells you anything about 2030.
Those Kindergarteners Are 19 now. 2030 Is Four Years Away. What’s Changed?
In 2016 I predicted that half of Australia’s kindergarteners would be unemployable by 2030 if education didn’t change. Those kids are 19 now. 2030 is four years away. Here’s the reckoning — what changed, what didn’t, and what needs to happen in the four years we have left.
You’re Not Behind: How to Clear the Noise, See What Matters, and Step Into 2026 With Confidence – The 2026 Leadership Clarity Briefing
2026 will be a year of compression. In this leadership clarity briefing, Morris Misel cuts through the noise with grounded foresight, human-centred insight and practical preparation tools. If your organisation needs clarity, direction and confidence before 2026 arrives, start here.
ChatGPT Atlas Just Changed How We Work, Search and Decide And Most People Haven’t Noticed Yet
While most of the world slept, OpenAI launched ChatGPT Atlas, a browser that doesn’t just display the internet, it thinks alongside it. In this foresight piece, Morris Misel explores what this quiet revolution means for human behaviour, business strategy, and the future of search
Recognised Across 10 Future-Critical Domains: What Leaders Are Really Asking Me in 2025
Morris Misel has been honoured with ten awards from Thinkers360, from AI Ethics and the Future of Work to Finance, Healthcare, and Mobility and named among the Top 100 Thought Leaders in APAC. These recognitions aren’t trophies; they are signals of where leaders are most anxious, and why foresight is essential for CEOs, boards, and event organisers today.
{Podcast} Who Decides 2025: Global CEOs Reveal Where AI Can (and Can’t) Be Trusted to Decide
Who Decides 2025 is Morris Misel’s landmark foresight research report, built from 120 senior leaders across Australia, the U.S., and beyond. It maps where executives let AI decide, where they refuse, and why revealing trust cliffs, gender and sector divides, and the ripple effects of every AI delegation.
