A wake-up call for every data analyst

In early 2026, the data team at a major internet company ran an internal efficiency audit. The findings silenced the room:

• Analysts spent an average of 14 hours per week on data extraction and report generation
• Those 14 hours could be compressed to under 3 hours using LLM-powered text-to-SQL tools
• In other words, roughly 40% of each analyst’s working hours were technically replaceable by AI

The data director made a pointed remark at the team meeting: “Going forward, knowing how to pull data is not a skill — just like knowing how to type is no longer a skill. Your value will be defined by what you do after AI pulls the data.”