Enhancing Green Economy with Artificial Intelligence: Role of Energy Use and FDI in the United States
Abdullah Al Abrar Chowdhury, Azizul Hakim Rafi, Adita Sultana, Abdulla, All Noman

TL;DR
This study examines how AI innovation, economic growth, FDI, energy use, and urbanization influence CO2 emissions in the US, highlighting AI's potential to reduce environmental impact when supported by proper policies.
Contribution
It introduces an integrated ARDL-STIRPAT model to analyze the complex effects of technological and economic factors on US environmental sustainability from 1990 to 2022.
Findings
AI innovation reduces CO2 emissions with safeguards
Economic growth and urbanization increase emissions
FDI and energy use exacerbate environmental degradation
Abstract
The escalating challenge of climate change necessitates an urgent exploration of factors influencing carbon emissions. This study contributes to the discourse by examining the interplay of technological, economic, and demographic factors on environmental sustainability. This study investigates the impact of artificial intelligence (AI) innovation, economic growth, foreign direct investment (FDI), energy consumption, and urbanization on CO2 emissions in the United States from 1990 to 2022. Employing the ARDL framework integrated with the STIRPAT model, the findings reveal a dual narrative: while AI innovation mitigates environmental stress, economic growth, energy use, FDI, and urbanization exacerbate environmental degradation. Unit root tests (ADF, PP, and DF-GLS) confirm mixed integration levels among variables, and the ARDL bounds test establishes long-term co-integration. The…
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