Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.
Are You Slowly Losing Your Expertise to AI?
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Like many readers of this newsletter, I identify as a data expert. It took me years of study and hard work to build this expertise, and it’s something that I’m not willing to lose. This is not just because of everything it took to get here, but because my expertise forms an integral part of my identity. And the idea of losing it feels, in many ways, akin to losing a part of who I am. So, when I recently started hearing from data professionals who spoke of slowly losing skills as they delegated more and more of their work to AI, it made me stop and think: If this is happening to these people, what skills have I already started to lose due to my use of AI? And more importantly: What practices can I put in place now to prevent the loss of the expertise I value most? It was while I was considering this question that I came across Blair Enns’ Experts' AI Manifesto - a set of principles outlining how experts in any field should be using AI if they want to maintain their expert status, while describing the consequences of using AI the wrong way. It articulated many things I’d instinctively felt to be true and clarified the right path for me going forward. In the latest episode of Value Driven Data Science, Blair joins me to dig into the principles contained in his Manifesto and what they mean for data professionals who want to use AI without compromising the expertise they’ve spent years building. You’ll discover:
Building genuine expertise takes years. Losing it to AI can happen gradually - but only if you let it. Listen now on Apple Podcasts or Spotify, or click the link below: Episode 113: The Experts' AI Manifesto Talk again soon, Dr Genevieve Hayes |
Data Science Impact Algorithm
Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.
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