I’ve seen a number of articles lately that highlight the impact of AI.
Studies from Anthropic, MIT Sloan, PwC, and others are all pointing at something uncomfortable: AI seems to be widening the gap between top performers and everyone else.
AI is making the top performers better (organisations & people). And it’s doing very little, or worse, for the rest.
The gap between those who get value from AI and those who don’t isn’t about access to better tools. It’s about how people work with them.
“Taste” is getting more and more important – the ability to critically evaluate what AI gives you, and know whether it fits your situation or not.
Can you learn “taste”? I believe you can get better with a structured approach, a framework that helps sharpen your thinking.
One framework is the 4D Framework (developed in partnership with anthropic) that helps structure the approach to human-AI interaction – helping individuals and organizations effectively and responsibly collaborate with AI.
4Ds
- Delegation: deciding what work to do with AI vs what you should be doing yourself.
- Description: communicating with AI, being specific and contextual enough that AI can actually help.
- Discernment: evaluating AI outputs and behavior critically before you act on it.
- Diligence: ensuring you interact with AI responsibly and ethically.
I’m using this like a mental checklist I run through when I’m working with AI tools. And hopefully I’m developing better “taste” the more I use AI 😉
Not sure I’m ready to become a cyborg just yet… but I’ll keep working on my “taste” in the meantime.
(image created with AI)
