Role of AI in Economic Development and Green Technology

Abstract

Introduction: With the development of Artificial Intelligence (AI), the analytical power & decision-making ability of man have increased remarkably.  With the help of AI, machines/computers/robots can think like humans in terms of working efficiency & performance, and can make fast & precise decisions. Purpose: The study of the economic environment is not an easy process for humans as it has a number of diversified aspects at the individual level, the industrial level, the financial level, the commerce level, the rural/urban level, the state/nation level, and the international level. With the emergence of AI, it is a great help to study the economic environment. Objective: To study the relevance of artificial intelligence in the current scenario, especially in the field of economic development. Methodology: This is a short research article that is descriptive in nature. Data is collected from different websites and research articles. Discussion: In modern days, without technology, it is not feasible to work/produce, for that energy/power is required, and this is limited by employing its resources. For technology and power, we are ignorantly wasting our precious limited resources. Therefore, we needed to use these cautiously and optimally, for this AI plays an important role by highlighting important data for the right decisions, and in doing sustainable resources management with the understanding of climate change at the right time. To be more eco-friendly in manufacturing and in technology, we can monitor the environment accurately with the help of AI. Finding: We can make easy decisions for the development of the economy of the nation, as well as the individual/industry. In understanding and processing the development of the economy, AI is playing an immeasurably important role in productivity enhancement, innovation in technology, decision-making, and skill development. Conclusion: In saving our environment, green technology is essential for the optimum use of resources without damaging the environment. In this manuscript, a descriptive research design based on secondary data is used.