This article explores the integral role of artificial intelligence in enhancing the efficiency of the green economy by examining its interplay with green finance, trade openness, and R&D investment.

The intersection of technology and sustainability has never been more critical, especially as the world grapples with climate change and resource depletion. Artificial intelligence (AI) emerges as a game-changer, offering innovative solutions that could revolutionize green economic practices. From optimizing energy utilization in industries to transforming agricultural methods, AI's potential impact is profound. By integrating advanced data analytics and machine learning, AI aids in making informed decisions that can greatly enhance efficiency within green economies globally.

Recent findings illustrate that increased investment in research and development (R&D), along with greater trade openness, significantly boosts the effectiveness of green finance initiatives. This synergy not only fortifies the financial frameworks necessary for sustainable investments but also enhances the overall capacity for technology transfer between nations. Importantly, the study revealed that nations with robust AI capabilities are better equipped to implement green finance solutions, thereby improving both economic outcomes and environmental sustainability metrics.

As we look ahead, the implications of integrating AI into the green economy are vast. For policymakers and innovators, understanding the relationship between AI, green finance, and international trade will be essential in crafting strategies that promote sustainable growth. This paradigm shift in how we leverage technology will likely dictate future advancements in not only marine fisheries and agriculture but across various sectors committed to sustainable development. The path toward a greener future is clearer with AI as an ally, propelling us closer to achieving global sustainability goals.