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The forces that shape AI's uneven progress / Will Drover and Laura Huang.

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

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Format:
Book
Author/Creator:
Drover, Will, author.
Huang, Laura (College teacher), author.
Series:
MITSloan management review ; reprint 67226.
MITSloan management review ; reprint 67226
Language:
English
Subjects (All):
Artificial intelligence--Industrial applications.
Artificial intelligence.
Physical Description:
1 online resource (6 pages)
Edition:
[First edition].
Place of Publication:
[Place of publication not identified] : MIT Sloan Management Review, 2025.
Summary:
AI-driven automation typically progresses through three stages: assist, reshape, and replace. But AI's impact on work follows an uneven path: It excels at some tasks while struggling with others. Forces like judgment, human assurance, regulation, and error tolerance can either accelerate or slow this progression. Leaders who understand these friction points can better anticipate where change will happen fast and where human roles will remain essential, enabling more strategic workforce planning.
Notes:
"November 18, 2025."
OCLC-licensed vendor bibliographic record.
OCLC:
1560040709
Publisher Number:
53863MIT67226

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