AI Fluency Divide

🧪 Active Investigation AI is creating a sharp divide between workers who can collaborate with it and those who compete against it.

CURRENT POSITION AI adoption is not primarily about job loss but about a massive productivity and skill transformation that favors AI-fluent workers.

KEY ASSUMPTIONS AI automation will continue to expand across most industries. Workers who learn to use AI will be more productive and valuable than those who do not. Most human skills remain relevant but will be reshaped through AI collaboration.

SUPPORTING EVIDENCE McKinsey research estimates 57% of US work hours could be automated. Only about 5% of US workers currently have AI fluency, despite rapid growth. McKinsey categorization of people-first, agent-assisted, and robot-ready roles with differing pay and risk profiles.

OPEN QUESTIONS How quickly can large portions of the workforce realistically gain AI fluency? Will wages rise for agent-assisted roles or stagnate due to increased supply? How will education systems adapt to teach human-AI collaboration skills at scale?

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