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# Summary AI engineers face a higher risk of job displacement than other developers because large language models and foundation models are becoming increasingly versatile and capable of handling diverse AI tasks that previously required specialized expertise. The article argues that the broad, undefined nature of the "AI engineer" title—which can encompass everything from LLM development to computer vision to simple API integration—makes the role particularly vulnerable to automation as AI models become more general-purpose.
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