Generally, adoption of new software doesn’t seem to increase productivity metrics. Why? They need to be incredibly specific to actually do their jobs well. In contrast to general purpose technologies (GPTs), which create “broad-based productivity growth” because they’re easy to implement, specialised software is difficult to adopt. Software needs to be programmed precisely so as not to make mistakes, which means it doesn’t work (at least, without tweaks) across a multitude of companies.
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