Generative AI-Driven Innovation Leads the Way to Coevolution Between Japan, India and the Global South Towards Decarbonization

Watanabe, C., Tou, Y., Nagamatsu, A., & Neittaanmaki, P. (2026). Generative AI-Driven Innovation Leads the Way to Coevolution Between Japan, India and the Global South Towards Decarbonization. In: Challenges in Design Methods, Numerical Tools and Technologies for Sustainable Aviation, Transport and Industry. Eds. Tuovinen, T., Neittaanmäki, P., & Knoerzer, D., pp. 209-229 Cham: Springer. ISBN 978-3-031-98674-1 10.1007/978-3-031-98675-8_14.

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Abstract

This article proposes to build a coevolution dynamism between Japan, India and the Global South by fusing Japan’s manufacturing technology with India's DX (socio-economic transformation through digital technology) capabilities to (i) support the decarbonization of India, the world's third largest CO2 emitter, (ii) accelerate Japan's DX improvement and decarbonization, and (iii) promote the global standardization of India’s traditional innovation system, “Jugaad,” and transfer it to the Global South. Focusing on the rapid growth trend of generative AI (artificial intelligence) and the highly compatible nature between Amazon Web Services’ (AWS) AI/ML (machine learning)-based self-propagating high functionality that incorporates user learning and generative AI (GAI)-driven innovation, this article pursues the possibility of building a sustainable co-evolution relationship among Japan, India and the Global South through GAI-driven innovation by using AWS's co-evolutionary dynamism as a role model. Suggestions from pioneering successful cases of Japan-India collaboration are extracted thereon, and the direction of the renovation of Japan's manufacturing technology corresponding to the historical demand is suggested.

Item Type:	Book Section
Research Programs:	Advancing Systems Analysis (ASA) Advancing Systems Analysis (ASA) > Cooperation and Transformative Governance (CAT)
Depositing User:	Luke Kirwan
Date Deposited:	23 Feb 2026 08:47
Last Modified:	23 Feb 2026 08:47
URI:	https://pure.iiasa.ac.at/21343

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