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How AI Will Transform the Relationship Between Product Managers and Product Analysts

If a PM can use AI for everything, do they still need the analysts?

Hafidz Zulkifli
6 min readJan 19, 2025

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“Do we still need Product Analysts in the age of AI?”

It’s a question many teams are asking as ChatGPT, Gemini, Perplexity, Claude etc — takes center stage in data analysis. With AI automating routine tasks, running experiments, and surfacing insights in real time, it’s tempting to think the role of the Product Analyst (PA) is becoming obsolete.

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But here’s the truth: AI hasn’t replaced analysts — it’s made them more important than ever. Just as tools like Mixpanel and Amplitude revolutionized product analytics years ago, AI is now reshaping workflows, enabling Product Managers (PMs) and PAs to work together in new and more impactful ways.

This partnership has evolved dramatically over the years, from basic dashboards and SQL queries to strategic, high-stakes analysis. Understanding this evolution helps us see why analysts are not only still relevant but indispensable in the era of AI.

The Evolution of Product Data Analysis

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