The article discusses how AI, particularly large language models (LLMs), is transforming the nature of work and cognition. Instead of merely outsourcing tasks to machines, AI allows for the 'insourcing' of thought, engaging users in cognitive amplification. This shift leads to a new concept termed 'return on insight,' which prioritizes depth of understanding and reflection over efficiency. The dynamics of collaboration with AI help refine human thinking, turning interactions into opportunities for deeper insights, ultimately enhancing our intellectual capacity rather than replacing it.
AI helps us refine our thinking, enabling clearer insights and a shift from outsourcing tasks to amplifying cognition through collaboration.
The concept of 'return on insight' reframes value to focus on the depth of understanding rather than mere efficiency, fostering richer perspectives.
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