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MRI India Journals Vol. 13 No. 2S (2026): Special Issue: ICSAIEM

Artificial Intelligence vs Traditional Startups: A Comparative Review of Innovation and Scalability

Authors

  • Vrunda B. Mane Department of AI and Data Science, Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, India.
  • Anuja K. Vibhute Department of AI and Data Science, Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, India.
  • Samarth S. Alandkar Department of AI and Data Science, Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, India.
  • Vedika S. Patil Department of AI and Data Science, Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, India.
  • Suraj S. Bhoite Department of AI and Data Science, Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, India.

Keywords:

AI Startups Non-AI Startups Machine Learning Scalability Business Performance Entrepreneurship Startup Ecosystem Innovation

Abstract

Artificial Intelligence (AI) has significantly transformed the startup ecosystem by enabling automation, data-driven decision-making, and advanced innovation. This paper presents a comparative analysis between AI-based startups and technological capabilities, whereas non-AI startups offer cost-effective solutions and faster implementation. The study highlights key differences, challenges, and opportunities associated with both approaches. The findings aim to assist investors, entrepreneurs, and researchers in understanding current trends and making informed decisions in the evolving technological landscape.

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Published

2026-07-05

How to Cite

Mane, V. B., Vibhute, A. K., Alandkar, S. S., Patil, V. S., & Bhoite, S. S. (2026). Artificial Intelligence vs Traditional Startups: A Comparative Review of Innovation and Scalability. Multidisciplinary Journal of Research in Engineering and Technology, 13(2S), 272–276. Retrieved from https://journals.mriindia.com/index.php/mjret/article/view/4022

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