Stop Learning SQL, Python & Power BI Equally

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For years, the analytics workflow looked something like this:

Data → SQL/Python → Dashboard → Analyst → Business User

The analyst sat in the middle.

We extracted the data.
Cleaned it.
Modelled it.
Built dashboards.
Found insights.
Explained those insights to the business.

But AI is starting to change this workflow.

With AI agents, semantic models, natural-language analytics, Microsoft Fabric and increasingly autonomous analytical systems, business users may no longer need an analyst for every question.

They’ll increasingly be able to simply ask:

“Why did sales drop last month?”

And an AI agent could potentially:

→ Query the semantic model
→ Analyse the relevant data
→ Investigate possible drivers
→ Compare regions/products/customers
→ Summarise the findings
→ Recommend what to investigate next

So does that mean Data Analysts are going away?

I don’t think so.

If you want to skip reading and watch the video instead:

But I do think the traditional definition of a Data Analyst is going to change.

The valuable analyst of the next few years won’t just be the person who knows the most SQL syntax, Python libraries or Power BI features.

It will be the person who understands:

Business + Data + AI

That’s also why I don’t believe you should learn SQL, Python and Power BI equally in 2026.

The question shouldn’t be:

“How do I become an expert in every analytics tool?”

It should be:

“What combination of skills helps me solve real business problems in an AI-first analytics world?”

Because AI can increasingly help you write the SQL, generate Python, create DAX and even build parts of a report.

But someone still needs to understand:

• What the business is actually trying to solve

• Whether the data can be trusted

• How the semantic model should be designed

• Which metrics actually matter

• Whether the AI’s answer makes business sense

• How AI agents should interact with enterprise data

• How insights translate into decisions

That, in my opinion, is where the opportunity is.

I recently made a video sharing my perspective on the Future of Data Analytics in the AI Era, including what I think Data Analysts, BI Developers and Power BI professionals should start learning now.

🎥 Watch: Future of Data Analytics in the AI Era

[ADD YOUR YOUTUBE VIDEO LINK]

The goal isn’t to compete with AI.

It’s to become the person who knows how to use AI to solve business problems.

I’m curious what you think:

Will AI replace a significant part of the traditional Data Analyst role — or simply create a more powerful version of it?

Email me your concerns, I read every email. Let’s solve each others problems.

Cheers,
Analytical Guy
https://analyticalguy.tech