How AI has de-skilled translation
A specialist knowledge-work job has become fragmented and routine
How AI has de-skilled translation The job of a specialist knowledge worker, such as a translator, has undergone a significant transformation. Advanced technology has enabled the fragmentation of complex tasks into smaller, more routine components. This shift has led to a de-skilling effect, where the need for deep, specialized expertise in traditional knowledge-work roles is diminishing.
- Specialist knowledge-work jobs have become fragmented.
- Tasks within these jobs have become more routine.
- This fragmentation and routinization can lead to a de-skilling of the workforce. Continue reading https://www.ft.com/content/75bc43ed-6a57-4f77-929c-83238f5cfe60
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