Artificial Intelligence and the twin transition: the good, the bad, and the ugly
本文研究了人工智能在数字与绿色双重转型中的作用，提出AI影响环境的效应类型学，并区分三种AI采用配置，为管理者和政策制定者提供指导。
Artificial 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.