What question did this study set out to answer?

The aim is to identify the hidden costs and operational challenges of adopting AI in enterprises.

June 6, 2026Open Access

The hidden cose of AI

Key Points

The aim is to identify the hidden costs and operational challenges of adopting AI in enterprises.
Case studies of Microsoft, Uber, Starbucks, and Pizza Hut franchise operations were conducted.
Focus on issues such as infrastructure costs, data quality, and governance in AI implementation.
Identified key challenges include high infrastructure costs and the need for quality data.
Demonstrated that trust and governance are critical for successful AI adoption.

Abstract

This paper examines the hidden costs and operational challenges associated with enterprise AI adoption. Through case studies involving Microsoft, Uber, Starbucks, and Pizza Hut franchise operations, it explores issues such as infrastructure costs, data quality, trust, governance, and scalability. The study highlights why Data Analytics and Data Engineering remain essential for successful AI implementation and long-term business value.

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