Every week there is a new headline about AI replacing analysts. I use AI tools every day. My own output has maybe doubled because of them. So here is my honest take.
What AI is actually good at
Summarizing data. Give it a CSV, it can tell you the trends, the outliers, the patterns — faster than I can eyeball them. I use this a lot in the first hour of any new project.
Writing code. SQL, Python, viz — 30–40% faster for routine stuff, sometimes more. I have stopped writing boilerplate by hand. It was never the interesting part anyway.
Drafting writing. Methodology docs, reports, slide outlines. If you can prompt well, you get a decent first draft. You still need to edit. But the blank page problem is gone.
What AI is still bad at
Causal reasoning. It will find correlations all day. Ask it why a metric moved, or what would have happened if we had not launched the feature — it gives you something that sounds right. Usually it is wrong in a subtle way you have to know the domain to see.
Business context. AI does not know your CEO just pivoted last month. It does not know marketing and sales are not talking to each other. It does not know the reason the old metric was replaced was political, not analytical. Context matters a lot, and there is no prompt that fixes this.
Problems that are actually new. If the problem is something that was not common in the training data, AI guesses. And the guess sounds confident. This is the category I worry about most.
Stakeholder work. Convincing a skeptical VP. Pushing back on a bad decision. Reading the room. Still human work. Probably always will be.
What I actually think
AI will not replace analysts. But analysts who use AI will replace those who do not. That line is a cliché now. It is also true.
The winning split:
- AI does the speed, the scale, the routine, the first draft
- You do the judgment, the strategy, the relationships, the novel problems
The job title stays the same. The actual work shifts upward — better questions, better designs, more time on change management and less on pulling data.
My advice
- Learn the tools deeply. Not just prompts — know what they can and cannot do.
- Double down on judgment. That is the thing that does not get replaced.
- Build relationships. Your value is going to come more and more from influence, not output.
- Stay curious. The ground is moving fast.
I have bet my career on this being right. Still betting.