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Experience is shifting from old playbooks to new tools. The challenge is knowing when knowledge guides us\u2014and when it misleads.<\/p>\n
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For most of modern work, experience was the gold standard. Years on the job meant you had seen enough cases, projects or crises to know how to respond. It was the playbook that guided doctors through diagnoses, lawyers through arguments, managers through market cycles.<\/p>\n
Experience wasn\u2019t just knowledge \u2014 it was the ability to recognize patterns quickly, evaluate situations and offer solutions others couldn\u2019t see. In a world where information was scarce, experience functioned as a map. You followed it to get where you needed to go.<\/p>\n
Today, though, the relationship between experience and AI is reshaping that map. On one hand, new tools make it look unnecessary \u2014 why spend years accumulating experience if AI can deliver answers instantly? On the other hand, the weight of experience can get in the way, blinding us with assumptions and maps that no longer fit the terrain.<\/p>\n
The Shortcut Problem<\/p>\n
Traditionally, experience was shorthand for exposure. Each time a professional faced a problem, they added another data point to their mental library. Over time, that library became a shortcut: they knew which questions to ask, which solutions to trust and how to spot the one detail that mattered.<\/p>\n
AI appears to flatten that process. Tools can instantly generate solutions, suggesting that perhaps years of apprenticeship are unnecessary. A junior analyst with the right prompts can now deliver work that used to demand the experience of a seasoned professional. The question is obvious: if tools can produce answers instantly, do we really need experience to reach the right solution?<\/p>\n
The Blind Spot Problem<\/p>\n
Experience can also work against us. What once was wisdom can harden into assumptions. Dr. Paul Achleitner, former CFO of Allianz, Supervisory Board Chair of Deutsche Bank and author of Accelerate Your Experience, discussed this idea on The Future of Less Work<\/a> podcast. He argued that \u201cnot all the experience that you have accumulated over your life is useful for people today or tomorrow\u201d and calls this \u201cobsolete experience.\u201d<\/p>\n Leaders who push<\/a> for a return to pre-pandemic office routines \u201cbecause that\u2019s how it worked before\u201d are relying on a playbook written for a different era. The same thing happens at a personal level when experience steers us back to the familiar \u2014 like opening Excel because that\u2019s how we\u2019ve always analyzed data, even when new tools could deliver faster or richer insights if we were willing to climb the learning curve. In these cases, experience doesn\u2019t guide \u2014 it misleads. The map may still be detailed, but it no longer matches the terrain.<\/p>\n Judgment Can\u2019t Be Automated<\/p>\n So is experience obsolete? Not quite.<\/p>\n Tools deliver answers, but they don\u2019t tell us which questions to ask in the first place. Nor do they teach us when to challenge the first result, how to pursue a follow-up, or which nuance could make or break the outcome. Achleitner emphasizes that experience today is about judgment and\u201caccelerating experience means it actually allows you to increase your ability to judge and therefore become a better decision maker.\u201d<\/p>\n In medicine, AI tools can suggest likely diagnoses. But experience tells a physician which possibilities are relevant, which test to order and how to balance textbook knowledge with a patient\u2019s lived reality. In law, templates can generate contracts. Experience identifies which clause matters in this context and what precedent could create risk. Even around the house, a video can show how to tighten a faucet. But when the leak stems from deeper structural issues, it takes someone who has seen countless variations of the same problem to improvise the right fix.<\/p>\n In each case, tools democratize access to knowledge. But without experience, we risk misusing that knowledge or missing the subtle cues that distinguish a quick fix from a deeper problem.<\/p>\n Experience and AI, Redefined<\/p>\n That means experience itself must evolve from being a map \u2014 a fixed set of routes through familiar territory \u2014 to a compass: a tool for orientation when the territory itself keeps changing.<\/p>\n Building Experience In A World Of Tools<\/p>\n If tools compress the time it takes to access knowledge, the question becomes: how do we build experience that still adds value?<\/p>\n\n