AI Economics Research

AI Economics: Risk, Cost & ROI Analysis

Author: Oleh Ivchenko, Lead Engineer at Capgemini Engineering
Affiliation: PhD Researcher, Odessa Polytechnic National University
Focus: Economic Analysis of Enterprise AI Implementation

Abstract

Enterprise AI fails at rates between 80% and 95% — not due to model limitations, but due to unmanaged lifecycle risks and poor economic planning. This 65-article research series provides comprehensive economic analysis covering TCO, ROI, risk mitigation costs, and industry-specific AI economics.

Research Scope (65 Articles)

• Part I: Foundations — Failure rates, TCO, ROI frameworks (10 articles)
• Part II: Design Phase Economics — Data, annotation, model selection (10 articles)
• Part III: Deployment Economics — Cloud, security, compliance (10 articles)
• Part IV: Inference Economics — Optimization, drift, retraining (10 articles)
• Part V: Industry-Specific — Healthcare, finance, manufacturing (10 articles)
• Part VI: Strategic — Portfolio, M&A, governance (10 articles)
• Bonus: Case Studies (5 articles)

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Articles