According to God of Prompt on Twitter, referencing a CNBC interview with Anthropic's Daniela Amodei, leading AI engineers are now automating up to 60% of their own workflows using advanced AI models. This shift signals a significant inflection point for AI-driven productivity in the tech industry, as top talent increasingly leverages generative AI to handle complex engineering tasks. The business implications are profound: organizations can accelerate development cycles, reduce costs, and scale AI innovation faster than ever before (source: CNBC, 2026-01-03). This trend highlights an emerging opportunity for companies to invest in AI workforce augmentation solutions, and underlines the growing market for enterprise AI automation tools.