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Artificial Intelligence, Digital Transformation, and Sustainable Economic Growth: A Multidisciplinary Analysis of Business, Commerce, and Financial Systems

Dr. Rajesh Manikraoji Naik · Zenodo (CERN European Organization for Nuclear Research) · 29 May 2026

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Where this sits in the debate

Direction of the finding as read from the abstract by an AI model (AI-written).

Key takeaway AI-written

A descriptive overview of how AI and digital transformation affect business, commerce and financial systems. It argues that these technologies improve efficiency, financial inclusion and innovation and contribute to sustainable economic growth.

Abstract

Artificial Intelligence (AI) and digital transformation are rapidly changing the global economic environment and influencing the way businesses, commercial activities, and financial systems operate in modern society. In recent years, organisations across the world have increasingly adopted advanced digital technologies to improve efficiency, productivity, communication, customer service, and strategic decision-making. AI-based systems, automation tools, digital banking platforms, cloud computing, and online business models have transformed traditional business operations into faster, smarter, and more connected systems. At the same time, sustainable economic growth has become one of the most important goals for both developing and developed countries. Technology is now playing a major role in creating employment opportunities, improving financial inclusion, encouraging innovation, supporting entrepreneurship, and strengthening economic development. This research paper examines the impact of Artificial Intelligence and digital transformation on business, commerce, and financial systems while also analysing their contribution toward sustainable economic growth in the modern economy.

About this publication

Preprint. A preprint — posted publicly before or without journal peer review; findings may still be revised.

Published
2026 (5 months ago)
Citations
0 (OpenAlex)

0 citations recorded by OpenAlex — too few 2026 papers in this collection for a fair comparison.

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