Text extraction is now commoditized — data careers shift from tasks to owning workflows
mdancho84 · x · 2026-10-28
The author's career takeaway: LLMs have commoditized "extracting text," so the value for data professionals shifts from task-based data work to owning end-to-end workflows. What gets replaced: regex/fragile parsing, custom NER pipelines, expensive extraction APIs, manual data entry. What's valuable: turning extraction into workflows that ship decisions.
Related event: As LLMs Democratize Text Extraction, Data Pros Must Own the Workflow(2 posts)→
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