This study examines the relationship between the resource curse (RC) and green development welfare (GDW) through the influence of artificial intelligence (AI) on emerging technologies. We explore the critical question: How does resource abundance hinder green development, and how can AI mitigate this effect? Our examination of 15 years of panel data from 282 Chinese cities demonstrates a significant negative correlation: a 1% increase in RC correlates with a 0.422% reduction in GDW. AI appears as a crucial factor capable of counteracting the detrimental impact of RC, indicating that technological innovation is essential for promoting sustainable development. This study's distinctive contribution is the incorporation of AI into the GDW framework, providing novel insights into the varying impacts of RC across different levels of GDW. By differentiating resource abundance (RA) from resource dependence (RG), we illustrate that both RA and RG substantially impede GDW, with the negative effects amplifying at higher GDW levels. We discover that AI can overcome the limitations imposed by RC by reducing terms-of-trade fluctuations, mitigating Dutch disease effects, and diminishing crowding-out effects. Our research underscores the importance of AI in alleviating the adverse impacts of RC on GDW and recommends augmenting investment in AI research and application, especially in resource-rich cities, to advance sustainable development.
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