In AI, on AI
Read OriginalThis article offers career advice for professionals considering a pivot into AI. It argues that while working 'on' AI (like prompt engineering) gets attention, there are growing opportunities to work 'in' AI—building the underlying execution engines, evaluation frameworks, and user-centric products that make AI systems safe, scalable, and controllable. It emphasizes that existing skills in engineering, data science, product management, and design are highly valuable in this new landscape.
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