When ChatGPT went down recently, productivity wobbled—and so did we. But the real story isn’t about outage panic; it’s about how deeply generative AI has embedded itself into our working lives. Generative AI can boost productivity and creativity—but only when humans stay engaged. It’s not here to replace us, but to work with us. Because the real power lies in the partnership—and the judgement, empathy, and curiosity we still bring to the table.
Every organisation has policies - good and bad - but how do you avoid them gathering dust, and what will make your AI policy one of the good ones?
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A reflection on two years of prompting, progress, and curiosity.
Every time we introduce a new bit of AI kit someone asks: “How will we know if it’s working?” It’s usually shorthand for: “Will this make us faster/better/cheaper?”
How to think about the price tag, the procurement pitfalls, and the value behind the hype.
Continuing our occasional series of blogs where we apply our favourite retro management theories to AI, it’s time to tip our hats to Everett Rogers’ Diffusion of Innovations model, aka the change adoption bell curve.
We've been thinking a bit more about our fantasy Early Adopter Club™ and why we think the membership includes you (and us). Here's a little update on how tech adoption tends to involve making a leap across the chasm between innovators and the majority.
At this stage of AI evolution, it’s very tempting to look for one perfect system that can do everything. But the hard truth is that even the smartest AI is better when it focuses on the job at hand.
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