Data Scientists once stood as the high priests of corporate decision-making, wielding R and Python like sacred instruments to divine insights from the digital entrails of business operations. They promised to make data-driven decisions, but ultimately became the data themselves—processed, analyzed, and optimized out of existence. The irony that their own algorithms predicted their demise was lost on no one except them.