"We need better data to determine whether AI applications deliver time savings or impose a time tax," writes Diane Coyle for Bloomberg.
“Looking at time spent—how much and by whom—is a more useful productivity metric to trace the impact of AI. Although we tend to think about technology in terms of new gadgets or inventions, most of the productivity improvements in history came down to workers gaining the ability to do some things faster, freeing up more time for other activities. In short, process innovations are more important than product innovations.”
Diane Coyle, Author of The Measure of Progress: Counting what really matters
The views and opinions expressed in this post are those of the author(s) and not necessarily those of the Bennett Institute for Public Policy.
