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How AI helps the best and hurts the rest / Nicholas Otis, Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Otis, Nicholas, author.
Clarke, Rowan, author.
Delecourt, Solène, author.
Holtz, David, author.
Koning, Rembrand, author.
Series:
MITSloan management review ; reprint 67415.
MITSloan management review ; reprint 67415
Language:
English
Subjects (All):
Generative artificial intelligence.
Artificial intelligence--Business applications.
Artificial intelligence.
Physical Description:
1 online resource (5 pages)
Edition:
[First edition].
Place of Publication:
[Place of publication not identified] : MIT Sloan Management Review, 2026.
Summary:
Can generative AI serve as an on-demand business adviser? A field experiment with hundreds of small business owners in Kenya found that AI access boosted revenues and profits by 15% for high performers -- but caused a nearly 10% decline for those who had already been struggling. The culprit: Weaker performers followed generic or misleading AI advice because they lacked the judgment to filter it out. Leaders deploying AI at scale must design their rollouts carefully to avoid widening performance gaps.
Notes:
"April 20, 2026."
OCLC-licensed vendor bibliographic record.
OCLC:
1593106425
Publisher Number:
53863MIT67415

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