We keep our ear to the ground for the interesting stats, insights and discussion points you need to feel in the know to shape the future with confidence.
1. Make work work
We’ve all been there: clicking through endless systems, waiting on approvals or wondering where a request disappeared to. Lion decided to fix the small frustrations that add up over the course of a workday. By simplifying how employees get help, find information and get things done, the company created an experience that feels less like navigating bureaucracy and more like… work actually working.
How Lion reimagines employee journeys for an AI future
2. Sign of the times
What happens when cyber risk becomes a boardroom responsibility? Under the next phase of Australia’s SOCI framework (Security of Critical Infrastructure Act 2018), cyber plans must be board approved, reviewed annually and signed by the CEO. CFOs face the funding decisions while AI helps adversaries compress weeks of vulnerability hunting into hours. Another platform will not resolve who owns the risk, changes the workflow or funds the fix. The compliance window is two years, but culture moves more slowly. Leaders signing the plan are also signing for its gaps.
3. Fresh eyes
Sometimes the people closest to a problem are the least likely to imagine a completely different solution. When it comes to AI, experience still matters, but so does curiosity. The most powerful ideas often emerge when industry experts team up with people who aren’t tied to the old playbook. One group brings deep knowledge of how things work today. The other asks the questions nobody else is asking. Together, they can spot opportunities that neither would find alone and rethink what’s possible from the ground up.
The Visibility Trap: Why AI rewards the beginner’s mind
4. Tick tock
The clock is ticking. The productivity boom isn’t. It took decades, sometimes longer, for technologies like electricity to reshape how people worked. Yet AI is already being judged on next quarter’s results. Companies are investing billions, retraining employees and redesigning workflows built for a different era. New models can appear overnight. Changing how thousands of people work takes far longer. Add time to the equation and several of AI’s most popular beliefs start looking a lot less certain…
Four AI misconceptions that deserve greater scrutiny
5. Chain reaction
Every supply chain looks resilient until somebody follows the map. The old logic was straightforward: spread operations across regions and risk should spread with them. Then leaders started tracing where critical materials actually came from. Funny thing, plenty of routes led back to the same place. Hidden dependencies, trade uncertainty and fragile links buried deep in supplier networks are forcing a closer look at how businesses really function under pressure. Some executives are now working backward from the commitments customers expect them to keep, no matter what. A chain only reveals its strength when one link starts pulling harder than the rest.
Why resilient supply chains need greater risk awareness and AI
If you do one thing:
Bring fresh eyes to an old problem and see where they lead.