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Navigating the jagged technological frontier Using newly collected data, we also document that this gap remains even when access to try this new technology is improved, highlighting the need for further research into the gap’s underlying causes. Field experimental evidence of the effects of ai on knowledge worker productivity and quality fabrizio dell'acqua harvard business school

We suggest that the capabilities of ai create a “jagged technological frontier” where some tasks are easily done by ai, while others, though seemingly similar in difficulty level, are outside the current capability of ai. The space where it does some things spectacularly well and others terribly. How to tell which tasks fall on which side of that “jagged technological frontier” requires “studying it with your people, deeply in your context,” explains edward mcfowland iii, assistant professor at harvard business school and one of the study’s authors.

Field experimental evidence of the effects of ai on knowledge worker productivity and quality. (pdf) harvard business school working paper, no

Most companies developing ai capabilities have yet to gain significant financial benefits from their efforts Only when organizations add the ability to learn with ai do significant benefits become likely. Pointing to a phenomenon described by faculty colleagues edward mcfowland and karim lakhani, weiss discussed probing the “jagged frontier” of generative ai

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