Gaurav Sachdeva, “Covering the Effectiveness of AI Outsourcing”
Mentor: Avik Chakrabarti, Economics, Letters & Science (College of)
Poster #138
Outsourcing has traditionally involved shifting jobs to lower-cost labor markets, allowing businesses to reduce expenses while maintaining productivity. However, the rise of Artificial Intelligence (AI) is transforming this practice. AI outsourcing refers to the delegation of tasks to AI systems rather than human workers, with the goal of improving efficiency, enhancing accuracy, and cutting costs. This research aims to assess the effectiveness of AI outsourcing across various industries by examining its impact on productivity, operational efficiency, and overall business performance. AI outsourcing leverages advanced technologies such as machine learning models, automation software, and natural language processing systems to perform tasks that were previously handled by humans. Many companies now rely on AI for functions like customer service (through chatbots), data analysis, content generation, and even decision-making. While AI offers potential benefits, understanding its scope and limitations is essential in determining whether it is a reliable alternative to human labor. The effectiveness of AI outsourcing is measured through key factors such as cost reduction, time efficiency, error rates, scalability, and its overall impact on workforce productivity. By comparing AI-driven outsourcing to traditional human outsourcing, this research seeks to evaluate whether AI is a viable long-term solution. To gain deeper insights, I will interview companies that have integrated AI into their operations. These discussions will help uncover the key differences between AI-driven work and human labor, identifying specific areas where AI excels and where human oversight remains necessary. Additionally, this research will explore how businesses are addressing AI’s challenges, such as ethical concerns, workforce displacement, and the need for continuous monitoring. Ultimately, this study will provide a clearer understanding of AI outsourcing’s effectiveness and its long-term implications for businesses and workers.