Evaluating the Impact of AI-Based Sustainability Measures in Industry 5.0: A Longitudinal Study

¹ Department of Management and Innovation, National Research Moscow State University of Civil Engineering (NRU MGSU), 26 Yaroslavskoye Highway, Moscow, Russia,
² Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, India, 248007
³ Lovely Professional University, Phagwara, Punjab, India
⁴ GRIET, Bachupally, Hyderabad, Telangana, India
⁵ K R Mangalam University, Gurgaon, India

^* Corresponding author: leram86@mail.ru

Abstract

In the context of Industry 5.0, this long-term study assesses the significant influence of AI-based sustainability metrics. It also illuminates a novel paradigm in which artificial intelligence (AI) and human expertise work together to jointly drive sustainability, financial performance, employee satisfaction, and overall ecological responsibility. AI-driven sustainability efforts produced a surprising 12% reduction in trash creation, an amazing 7% reduction in energy usage, and an 8% drop in CO2 emissions over a five-year period. Financially speaking, these actions showed up as a steady 4% annual revenue growth, $2 million in cost reductions on average each year, and a cumulative 3.4% gain in return on investment. The human factor is even more notable, with employee satisfaction ratings rising from 4.2 to 4.7 and work-life balance scores significantly rising from 4.1 to 4.6. By 2024, 70% of workers will have adopted AI, demonstrating how essential AI has become to the working. An all-encompassing sustainability score that included these dynamic components increased from 60 to 75 in 2024, indicating a general improvement in sustainability. This study emphasizes the mutually beneficial relationship between artificial intelligence (AI) and sustainability in Industry 5.0. It shows how AI fosters a sustainable and balanced industrial future by improving environmental responsibility and workforce satisfaction while also producing significant financial benefits.