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Hooded Merganser in Minnesota. Photo by Steve Furcich / Macaulay Library. The Past, Present, and Future of Office Work
Similarly, the key bottleneck in business decision-making for most of modern history was a lack of information. Advances in information collection, storage and retrieval eventually relaxed that constraint, and now we are awash in data. Routine office jobs were created in a time of information scarcity, and they may no longer be needed.
A harder question is whether AI will eventually replace jobs that analyze and synthesize information to improve decision-making. I am less certain that will happen, for two reasons. First, there is an essential complementarity between the ways that LLMs and humans analyze information. … Because AI models and humans approach problems differently, I can imagine lots of situations where people who know when to use AI and when to overrule it will do better than either party acting alone.
Second, economic interactions are often strategic, meaning the right decision depends on what you think your competitors will do and how they will respond.
The ABC’s of Who Benefits from Working with AI: Ability, Beliefs, and Calibration
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