10 Comments
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Daria Cupareanu's avatar

Great framework. Thing with AI is that in most organizations, training is very theoretical, while for everyone new to AI, it's very difficult to understand the applicability and use cases in your direct work. So unless there's tons of examples + creating a way for everyone to share their own, things tend to stall

Brennan McDonald's avatar

Thanks. Yes, a lot of worked examples and a clear idea of what “good” and “great” look like is needed.

Jurgen Appelo's avatar

Did you just reinvent ADKAR with different letters? 🙃

Brennan McDonald's avatar

Everything is an inspiration here

Daniel Ionescu's avatar

If there is no genuine curiosity from people how AI can augment their productivity and work, adoption can often feel forced.

Brennan McDonald's avatar

That’s right, people will need to be open to growth and learning new things in the AI era

James Presbitero's avatar

Excellent breakdown. I would also add one other C: Culture. From my studies on entrep AI adoption, those who create a culture of open experimentation are more likely to adopt AI initiatives than closed ones. A culture of talking about the tools, asking each other for help, and generally being excited with it will make things far more likely to stick.

Brennan McDonald's avatar

Thanks James

Yes - culture definitely matters, from this frameworks perspective I’d propose it’s the outcome/result of the other Cs

It’s a real challenge as many firms are still run on quite dictatorial regimes and experimentation is a bad word

James Presbitero's avatar

Definitely true! Let’s hope it changes

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Dec 31
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Brennan McDonald's avatar

Thanks - rewarding the early adopters who are shipping cool AI solutions would be really easy for some firms - but there are deeper consequences issues that probably feed into employee attitudes

Places like this probably don’t have decent pay/promote processes and they’ll need to fix that to keep any AI talent onboard…