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dc.contributor.authorCusumano, Michael
dc.date.accessioned2026-02-13T17:37:24Z
dc.date.available2026-02-13T17:37:24Z
dc.date.issued2025-06-18
dc.identifier.issn0001-0782
dc.identifier.urihttps://hdl.handle.net/1721.1/164880
dc.description.abstractThe release of DeepSeek V3 and R1 in January 2025 caused steep declines in the stock prices of companies that provide generative artificial intelligence (GenAI) infrastructure technology and datacenter services. These two large language models (LLMs) came from a little-known Chinese startup with approximately 200 employees compared to at least 3,500 employees for industry-leader OpenAI. DeepSeek seemed to have developed this powerful technology much more cheaply than previously thought possible. If true, DeepSeek had the potential to disrupt the economics of the entire GenAI ecosystem and the dominance of U.S. companies ranging from OpenAI to Nvidia.en_US
dc.publisherACM|Communications of the ACMen_US
dc.relation.isversionofhttps://doi.org/10.1145/3732796en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleDeepSeek Inside: Origins, Technology, and Impacten_US
dc.typeArticleen_US
dc.identifier.citationMichael A. Cusumano. 2025. DeepSeek Inside: Origins, Technology, and Impact. Commun. ACM 68, 7 (July 2025), 18–22.en_US
dc.contributor.departmentSloan School of Managementen_US
dc.relation.journalCommunications of the ACMen_US
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalItemen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2025-08-01T09:01:09Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2025-08-01T09:01:09Z
mit.journal.volume68en_US
mit.journal.issue7en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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