AI Destroys the Old Learning Curve.
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| Title: | AI Destroys the Old Learning Curve. |
|---|---|
| Authors: | Rosenthal, Jonathan (AUTHOR), Zuckerman, Neal (AUTHOR) |
| Source: | Wall Street Journal - Online Edition. 10/23/2025, pN.PAG-N.PAG. 1p. |
| Subjects: | Artificial intelligence, Supply chains, Economic impact, Wright, David, 1982-, Learning curve, Innovations in business, Logistics, Technology convergence |
| Abstract: | The article discusses the transformation of Wright's Law due to advancements in artificial intelligence (AI), which allows for experience to precede production, fundamentally altering traditional industrial practices. AI enables rapid simulation and optimization of supply chain decisions, significantly reducing the costs associated with planning and execution. The integration of AI with other technologies like robotics and cloud computing enhances efficiency and accuracy, leading to a shift in logistics from managed systems to adaptive, real-time operations. The authors highlight the potential for job displacement alongside a surge in entrepreneurial activity, emphasizing that companies must adapt to this fast-paced environment to thrive. [Extracted from the article] |
| Copyright of Wall Street Journal - Online Edition is the property of Dow Jones & Company Inc and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Regional Business News |
| FullText | Text: Availability: 0 |
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| Header | DbId: bwh DbLabel: Regional Business News An: 188808292 AccessLevel: 6 PubType: News PubTypeId: newspaperArticle PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: AI Destroys the Old Learning Curve. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rosenthal%2C+Jonathan%22">Rosenthal, Jonathan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zuckerman%2C+Neal%22">Zuckerman, Neal</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Wall+Street+Journal+-+Online+Edition%22">Wall Street Journal - Online Edition</searchLink>. 10/23/2025, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+chains%22">Supply chains</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+impact%22">Economic impact</searchLink><br /><searchLink fieldCode="DE" term="%22Wright%2C+David%2C+1982-%22">Wright, David, 1982-</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+curve%22">Learning curve</searchLink><br /><searchLink fieldCode="DE" term="%22Innovations+in+business%22">Innovations in business</searchLink><br /><searchLink fieldCode="DE" term="%22Logistics%22">Logistics</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+convergence%22">Technology convergence</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article discusses the transformation of Wright's Law due to advancements in artificial intelligence (AI), which allows for experience to precede production, fundamentally altering traditional industrial practices. AI enables rapid simulation and optimization of supply chain decisions, significantly reducing the costs associated with planning and execution. The integration of AI with other technologies like robotics and cloud computing enhances efficiency and accuracy, leading to a shift in logistics from managed systems to adaptive, real-time operations. The authors highlight the potential for job displacement alongside a surge in entrepreneurial activity, emphasizing that companies must adapt to this fast-paced environment to thrive. [Extracted from the article] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Wall Street Journal - Online Edition is the property of Dow Jones & Company Inc and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bwh&AN=188808292 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Supply chains Type: general – SubjectFull: Economic impact Type: general – SubjectFull: Wright, David, 1982- Type: general – SubjectFull: Learning curve Type: general – SubjectFull: Innovations in business Type: general – SubjectFull: Logistics Type: general – SubjectFull: Technology convergence Type: general Titles: – TitleFull: AI Destroys the Old Learning Curve. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rosenthal, Jonathan – PersonEntity: Name: NameFull: Zuckerman, Neal IsPartOfRelationships: – BibEntity: Dates: – D: 23 M: 10 Text: 10/23/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 25749579 Titles: – TitleFull: Wall Street Journal - Online Edition Type: main |
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