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Artificial intelligence and the twin transition: the good, the bad, and the ugly

dc.contributor.authorBohnsack, Rene
dc.contributor.authorPinkse, Jonatan
dc.contributor.authorReischauer, Georg
dc.date.accessioned2026-06-11T16:00:02Z
dc.date.available2026-06-11T16:00:02Z
dc.date.issued2026-06-03
dc.description.abstractArtificial Intelligence (AI) is the critical test case for the twin transition, the interplay of the digital and the green transformation, as it can reduce but also increase negative environmental effects. By synthesising recent advances, this paper develops an integrative firm-level understanding of AI’s role in the twin transition. First, we propose a typology of effects through which AI shapes environmental outcomes: efficiency and footprint effects, prebound and rebound effects, and unlocking and path-escalating effects. Second, we show that these effects are not properties of AI itself but emerge from how firms choose to manage interactions between effects strategically. To nuance the interplay of effects and strategic choices, we develop and illustrate three AI adoption configurations: sustainability-amplifying, productivity-stabilising, and harm-amplifying AI adoption. Our paper offers new research avenues on AI and environmental sustainability as well as actionable guidance for managers and policymakers seeking to steer AI deployment towards sustainable effects.eng
dc.identifier.doi10.1080/13662716.2026.2683371
dc.identifier.eid105041033286
dc.identifier.other37f1ea4c-46a7-418e-adde-0a97f3cc3958
dc.identifier.urihttp://hdl.handle.net/10400.14/58091
dc.identifier.wos001784650600001
dc.language.isoeng
dc.peerreviewedyes
dc.publisherRoutledge
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial intelligenceeng
dc.subjectDigital sustainabilityeng
dc.subjectDigital innovationeng
dc.subjectEcological sustainabilityeng
dc.subjectEnvironmental sustainabilityeng
dc.subjectGenerative AIeng
dc.subjectTwin transitioneng
dc.titleArtificial intelligence and the twin transition: the good, the bad, and the ugly
dc.typeresearch article
dspace.entity.typePublication
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa

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