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Ranking and Measuring the Efficiency of AI Tools using Data Envelopment Analysis

Dr. Shivani Guru

Assistant Professor

Mr. Sanskar Sahu

Student

Amity Business School

Amity University, Raipur, Chhattisgarh

Abstract

The study evaluates the technical efficiency of ten leading Artificial Intelligence (AI) tools using Data Envelopment Analysis (DEA), a non-parametric operations research methodology. DEA assesses the relative performance of AI platforms using inputs like model complexity and computational demands against outputs such as response accuracy and user utility. An input oriented Constant Returns to Scale (CCR) model and a Super-Efficiency DEA model were employed to identify and rank efficient tools. The findings reveal that eight of the ten AI tools are technically efficient, with Claude AI emerging as the most super-efficient. The research provides performance benchmarks and managerial insights, facilitating strategic decision making in AI tool adoption and development.

Keywords: DEA, AI Tools, DEA Super efficiency, Ranking, Benchmarking