What Happens Now That AI is the First Analyst On Your Team?
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A senior analytics consultant reflects on how AI has gradually become the first analyst on her team, handling tasks like data cleaning, analysis, visualization, and executive summaries. She describes the shift from generating work to validating AI outputs, and shares six practical strategies for staying relevant: using AI for full problem cycles, knowing when not to trust it, being intentional about delegation, evolving toward decision-partner roles, staying close to business context, and embracing AI as a legitimate tool rather than a shortcut.
Table of contents
My Workflow Before AIWhat It Looks Like NowWhat This Really MeansSo Where Do We Build an Edge?Final ThoughtSort: