I heard a lawyer (who uses AI throughout his job) say it will be difficult to catch up on AI fluency. Unlike other tech improvements where a smart man could go from zero to mastery in a few weeks, AI is moving so fast that people won’t be able to go from zero to mastery like before. Instead, they’ll be permanently behind.<\/p>\n
ChatGPT says: That lawyer\u2019s point is basically right. AI is compounding faster than any previous technology. The old \u201ccatch-up curve\u201d no longer applies because:<\/p>\n
The learning baseline keeps shifting. By the time someone learns last year\u2019s tools or techniques, the frontier has moved. Models update monthly, new frameworks appear weekly, and workflows that once required coding now use natural language prompts.<\/p>\n
The skill is not static knowledge but adaptability. Fluency now means being able to learn, test, and integrate new AI capabilities quickly. That favors people already embedded in AI-augmented work because they\u2019re constantly refining through feedback loops.<\/p>\n
Network effects and integration depth. AI is being woven into every platform so those who adopted early now have institutional memory and automated systems that compound advantage. Late adopters don\u2019t just need to learn the tools; they need to retrofit their habits and workflows.<\/p>\n
Epistemic gap. Using AI well isn\u2019t about memorizing commands; it\u2019s about understanding what the model can and can\u2019t do. That requires intuition built from thousands of trial-and-error cycles. That tacit knowledge can\u2019t be fast-forwarded.<\/p>\n
So yes\u2014catching up will be harder than with, say, spreadsheets or email. But \u201cpermanently behind\u201d is too fatalistic. The practical goal isn\u2019t mastery; it\u2019s iterative fluency. People who start now and make AI a daily co-worker can still close most of the gap within a year, provided they keep updating and experimenting continuously.<\/p>\n","protected":false},"excerpt":{"rendered":"
I heard a lawyer (who uses AI throughout his job) say it will be difficult to catch up on AI fluency. Unlike other tech improvements where a smart man could go from zero to mastery in a few weeks, AI … Continue reading