Climate change and resource depletion are two of the most vital challenges facing the contemporary world. While countries attempt to achieve sustainability objectives and respond to environmental unpredictability, Artificial Intelligence (AI) integration is proving to hold compelling solutions. Machine learning, predictive analysis, and remote sensing AI will continue to be integrated to advance climate modeling, maximize resource efficiency, track environmental consequences, and guide decision-making on policy. Although its potential is increasing, the effective implementation of AI in these fields is not only determined by technological potential but also by the attitudes, awareness, and trust of different stakeholders such as policymakers, scientists, students, and the public. The present study found out and examined the perceptions regarding the use of AI in climate action and natural resource management. A convenience sampling technique was employed to select a sample of 100 consumers from the Erode District. Data were collected using a structured questionnaire designed to capture relevant information regarding the study variables. To analyze the relationships and effects among these variables, regression analysis was conducted, enabling the identification of significant predictors and the strength of their influence on the outcome measures. By analyzing awareness levels, levels of trust, perceived risks and benefits, and adoption barriers, the study aims to identify knowledge gaps among the public and contribute towards more effective, inclusive, and ethically sound deployment of AI technologies. The results should prove useful in policy making, education, and sustainable development planning, with long-term contributions towards the responsible and effective use of AI in tackling environmental issues.