We’re at a major turning point in the data profession.
For years, the core value of data teams was rooted in execution—writing pipelines, cleaning datasets, merging tables, building dashboards, and maintaining documentation.

But generative AI has quietly started absorbing these tasks.
What used to take hours—data cleaning, SQL generation, exploratory analysis summaries, even code troubleshooting—now happens in minutes with the right prompt.

And the result is a fascinating shift:

Data teams are no longer being valued only for what they can produce, but for how they think.