Green Innovation And AI; Leveraging AI For Sustainable Development, Clean Energy And Environmental Solution

Abstract

The study investigates the influence of age on perceptions of emerging technologies—specifically big Data Analytics, Simulation Tools, AI for Sustainable Development, Automation, Optimization Algorithms, and Predictive Modeling—in the context of green innovation and artificial intelligence (AI). Artificial intelligence-based automation is transforming sectors in the sustainability realm since it has become more efficient, less resource-constrained, and less impactful on the environment. In addition, AI encourages ongoing enhancements by observing the actual product performance and environmental impact across a course of time. It is through this feedback loop that innovation ideas on product redesign or upgrades can be made known and this would facilitate extended product lifespan and reduced environmental costs. Methodology:  Using the Kruskal-Wallis non-parametric test, responses from 150 participants across three age groups were analyzed to determine significant differences in opinion. The respondents were selected for the study using convenience sampling, a non-probability sampling technique that involves selecting participants who are easily accessible to the researcher. Findings: None of the Simulation Tools and AI for Sustainable Development demonstrated a big difference between age groups, but older people (more than 50) were a little bit more positive about the use of AI that sustainability. These results introduce the technological-acceptance factors in cross-generational tendency and are practical interests of technology adaptation strategies, education plans, and policies to promote the concept of sustainable innovations.