AI Becomes First Analyst on the Team

How one data analyst is adapting as AI takes on more cognitive work

Apr. 1, 2026 at 10:36am

In this first-person account, a senior data analyst describes how AI has become the first point of contact for many of her daily tasks, from data cleaning and analysis to generating insights and summaries. While initially excited by the productivity boost, she now grapples with the implications of AI replacing core skills like coding, writing, and problem-solving. As the edge becomes less visible, she outlines strategies for staying relevant by leaning into AI, verifying outputs, and evolving her role to focus more on business impact and decision-making.

Why it matters

This story highlights the rapid pace of AI adoption in the workplace and the profound shifts it is causing for knowledge workers like data analysts. As AI becomes a general tool for cognitive tasks, it raises questions about the future of certain roles and the skills needed to stay competitive. Analysts must adapt quickly to this new reality, finding ways to leverage AI while also maintaining a critical eye and deepening their business acumen.

The details

The author, a senior data analytics consultant, describes how her daily workflow has transformed over time as she increasingly relies on AI tools like ChatGPT. What was once a lengthy, hands-on process of defining problems, cleaning data, writing code, and translating technical outputs has become more streamlined, with AI handling much of the initial heavy lifting. The author notes that this shift happened gradually, to the point where she now naturally turns to AI as the 'first analyst' on a given task, even before fully thinking it through herself.

  • Over the past few months, the author has noticed a subtle but exponential shift in her reliance on AI.
  • A week ago, the author used ChatGPT to plan a trip to Disney Parks, a task she previously took pride in handling manually.

The players

Rashi Desai

A senior data analytics consultant based in Chicago who writes about her experiences adapting to the rise of AI in the workplace.

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What they’re saying

“If AI can handle something I genuinely enjoy and take pride in… what does that mean for the rest of my work?”

— Rashi Desai, Senior Data Analytics Consultant

“AI is becoming a general layer for cognitive work.”

— Rashi Desai, Senior Data Analytics Consultant

What’s next

The author plans to continue experimenting with AI in her daily workflow, focusing on understanding its strengths and limitations. She aims to evolve her role from a technical executor to a more strategic decision partner, leveraging AI for speed and efficiency while maintaining a critical eye and deepening her business acumen.

The takeaway

This story underscores the need for data analysts and other knowledge workers to proactively adapt to the rapid rise of AI. Rather than resisting the technology, the author advocates for leaning into it with curiosity and intentionality, using AI as a tool to augment and enhance human capabilities while also developing new skills focused on problem-framing, judgment, and business impact.