Authors : Priyanshu Pal; Richa Bhansali; Rakshit Vel

Volume/Issue : Volume 11 - 2026, Issue 4 - April

Google Scholar : https://tinyurl.com/6593jn2u

Scribd : https://tinyurl.com/ptv2bf9j

DOI : https://doi.org/10.38124/ijisrt/26apr1011

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Artificial Intelligence (AI) has emerged as a transformative force for Small and Medium Enterprises (SMEs), offering unprecedented opportunities to enhance operational efficiency, customer engagement, and competitive advantage. This research paper delves into the multifaceted role of AI in empowering SMEs, highlighting its potential to automate repetitive tasks, optimize supply chain management, and deliver data-driven insights through predictive analytics. By leveraging AI-powered tools such as chatbots, sentiment analysis, and machine learning-based marketing strategies, SMEs can streamline operations, reduce costs, and personalize customer experiences. However, despite these benefits, AI adoption among SMEs remains relatively low due to significant barriers, including financial constraints, lack of technical expertise, and ethical concerns. The study underscores the growing accessibility of AI-as-a-Service (AIaaS) platforms, which provide cost-effective solutions, and emphasizes the need for targeted interventions to bridge the adoption gap. The paper identifies key challenges hindering AI integration in SMEs, such as high implementation costs, skill shortages, and regulatory complexities, while also presenting actionable strategies to overcome these obstacles. Recommendations include government incentives like subsidies and tax breaks, workforce training programs, and collaborations with academic institutions to build AI literacy. Additionally, the research explores emerging trends such as generative AI and AIaaS, which are poised to revolutionize content creation, marketing, and business intelligence for SMEs. By adopting a mixed-methods approach—combining primary data from SME interviews and surveys with secondary research from scholarly articles and case studies—the study provides a comprehensive framework for understanding AI's transformative potential and its implications for SME sustainability. This research serves as a call to action for SMEs, policymakers, and industry stakeholders to collaboratively foster an ecosystem conducive to AI adoption. By addressing financial, technical, and ethical barriers, SMEs can harness AI to drive innovation, scalability, and long-term growth. The findings advocate for a proactive approach, where SMEs prioritize pilot projects, leverage scalable AI solutions, and adhere to ethical guidelines to ensure responsible AI deployment.

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