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Augmentation-not-automation effect of AI

June 21, 2025
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The effect between AI on radiology offers intriguing insights into job evolution. AI has not replaced radiologists but instead augmented their roles, leading to growth in the labor force. This challenges the traditional "jobs as bundles of tasks" model in labor economics, suggesting that the nuances and complexities at the boundaries between tasks are often overlooked. Most jobs cannot be broken down into well-defined tasks for automation, highlighting the limitations of task-based analysis in predicting job automation versus augmentation.

I find the story of AI and radiology fascinating. Of course, Hinton's prediction was wrong* and tech advances don't automatically and straightforwardly cause job replacement — that's not the interesting part. Arvind Narayanan on X

Arvind Narayanan on X