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.
Is AI Making You Smarter or Just Faster?
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Earlier this year, entrepreneur Mark Cuban posted the following on X: “There are generally two types of LLM users: those that use it to learn everything, and those that use it so they don’t have to learn anything.” As this quote suggests, AI has the potential to dramatically expand what data scientists can do. But used without care, it also has the potential to quietly erode the expertise that makes them valuable in the first place. Given my expertise took over 20 years for me to build, I’ve been thinking about this a lot lately. How can I use AI to make me better at my work, not just faster? That’s the question I keep coming back to. Tim Dietrich, a software developer with over 100 virtual AI specialists on his team, has been thinking about the same tension. In a recent blog post, he wrote about what he calls the mindful use of AI, after noticing he’d started looking for problems to solve with AI rather than reaching for it when a genuine problem arose. In this Value Boost episode, Tim joins me to explore how to stay on the right side of that line and what mindful AI use actually looks like in practice. In just 10 minutes, you’ll discover:
The goal isn’t to use AI more. It’s to use it in a way that makes you more. Listen now on Apple Podcasts or Spotify, or click the link below: Episode 108: How to Use AI Without Losing Your Edge 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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