What did you leave in your inbox at your last job?
Our client logged into his ex-employee’s inbox to recover a file. What he found exposed a bullying manager, an unowned domain, and a marketing stack he no longer controlled.
Everyone’s going to know your AI business…
Anthropic has announced it will soon begin to watermark content generated by its products. We explore what that might mean for work, for art, and for the way humans are using AI.
Protected: Founder: to lead, to build, or both?
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Are you too old to work?
An ex-CEO who can’t get hired past her late 50s. A 99-year-old grandma. Here’s what ageism in Australian workplaces gets wrong about the value of experience.
AI and change: plan, don’t panic
We meet with business leaders every week who are worried or confused about AI. And while there are a lot of unknowns, the best approach is the same one we’ve always used to navigate change: plan for it, prepare your people, think about your place.
A note on the manosphere
Last week, like a lot of people, I sat down and watched Louis Theroux’s latest documentary, ‘Inside the Manosphere’…
Mental health: capability to compassion
Our mental health client was one of the largest providers in Australia, and its leaders knew it needed to safeguard its brand as it restructured, to maintain its leading position.
When the buck stops with leaders, but AI is making the decisions
From Dieselgate to Air Canada’s chatbot, we explore how accountability and governance are being redefined in the age of AI, and what it means for business leaders when technology makes the decisions.
Is the 5th working day a waste of time?
Research shows teams can achieve the same productivity in four days as in five. Global trials point to higher output, lower burnout, and stronger cultures proving fewer days can deliver more for people, profit, and performance. So, what’s the downside?
The terminator: when AI replaces employees
Two companies. Two rounds of redundancies. One driven by support, the other managed with a pre-recorded message. What can we learn and how can triple bottom line thinking be applied?