"Right now, many companies are worried about how to get more employees to use AI. After all, the promise of AI reducing the burden of some work-drafting routine documents, summarizing information, and debugging code-and allowing workers more time for high-value tasks is tantalizing."
"Aruna Ranganathan is associate professor of management and organizations at the Haas School of Business, UC-Berkeley. She received her PhD from MIT's Sloan School of Management. Her research uses full-cycle research methods to study the future of work, identification with work and inequality in the workplace."
"Xingqi Maggie Ye is a Ph.D. student in the Management of Organizations group at Berkeley Haas. Her research combines ethnography and field experiments to examine how generative AI is reshaping work practices, professional identities, and organizational structures. She holds an MHA from Cornell University and a BS from Imperial College London."
Many companies are concerned about increasing employee adoption of AI despite AI’s potential to reduce routine burdens. AI can draft routine documents, summarize information, and debug code, enabling workers to spend more time on high-value tasks. Aruna Ranganathan is an associate professor at the Haas School of Business, UC-Berkeley, with a PhD from MIT Sloan; her research uses full-cycle research methods to study the future of work, identification with work, and workplace inequality. Xingqi Maggie Ye is a Ph.D. student at Berkeley Haas; her research combines ethnography and field experiments to examine how generative AI reshapes work practices, professional identities, and organizational structures.
Read at Harvard Business Review
Unable to calculate read time
Collection
[
|
...
]