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If management can measure it. But in practice, the problem of course is the extra marketing of your good work against the marketing of all the ai firms trying to sell to your boss.

Many firms are unable to accurately measure the quality of research work and so they will be duped by the alternative marketing. The market can correct for this on a long enough time horizon if a competitor takes the opposite bet on whether this job is automate-able that way, but in the meantime you are probably out of a job and your equity goes down.


That seems problematic. It sounds like this is a long time horizon issue. An experienced researcher should be able to surface to management their concerns about the quality of research. Why is the research wrong?
I am not sure what you mean by “why is the research wrong?”

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