Paul Barnhurst argues that continuous learning is now the safest career strategy, especially in data and analytics as AI reshapes the field. New roles are more abundant and rewarding than traditional positions, but you have to outrun rapid change. He points out that technical documentation often fails to explain practical usage, like Power BI's DAX ALL function, making clear learning resources essential.
The new jobs for people who are wired like us in this data and analytics space, the new jobs are probably better than our old jobs. And there's going to be even more demand for it than our old jobs. So it's very exciting, but you have to first internalize that the place you're standing at the moment is the tsunami flood zone. You can't sit still. And then again, in the course of all of this process, I'm like, oh my God, the things that I just learned about AI, no one's explaining them as simply as they could be, which which was the same feeling I had with Power BI at the time. I would read the documentation for the formula, it's like the ALL function, and I'd go, the definition of the ALL function in the documentation was returns a table that— that's not how we really use it though. We didn't have the remove filters function at the time, but we used ALL as the remove filters function. And the fact that the documentation wouldn't explain it the way that people were actually going to encounter needing it and everything,
AI Is Accelerating Faster Than Humans Can Keep Up: What Should Finance Pros Do
