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How I’m Making Sure My Analytics Career Doesn’t Get Eaten by AI

 

Originally published on towards data science, July 14, 2026.

The analytics career I signed up for five years ago doesn’t exist anymore, and honestly, I am fine with that.

Every few weeks, someone at work brings up a version of this question: is AI going to take my job? I’ll admit that I have asked some version of that same question myself. But having talked to the AI experts, the creators of some of these AI agents, having seen the evolution of AI, and after actually integrating AI into how I work, the question if AI is going to take my job no longer scares me. I am just more curious and a lot more deliberate about what I spend my time learning.

When I started my analytics job in 2021, I thought writing SQL or Python code and building dashboards were valuable skills, and they really were. I quickly realized that translating a messy business problem into a data problem, and then surfacing insights that actually made sense to people is the real skill I should hone on. But now with the AI boom, I don’t know for how long I can even call that my strength.

When ChatGPT became a household conversation in 2022, I had a feeling that AI is overrated in the short-term and underrated in the long term and I feel this has become more and more true.

The industry is moving faster than most of us can admit, and not even the people building these systems know exactly where it’s heading.

AI tools are getting better every month at absorbing the kind of knowledge that used to live only in the heads of senior people, like the business context you’d normally only pick up after several years on the job. When that knowledge gets documented and handed to an AI system, it becomes available to anyone who needs it, rather than residing in the heads of the subject matter experts.

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