AI Economics: Risk, Cost, and ROI Research by Oleh Ivchenko
AI Economics: Economic Framework for AI Investment Decisions Author: Oleh Ivchenko Lead Engineer, Capgemini Engineering | PhD Researcher, ONPU Series: Economics of Enterprise AI — Article 4 of 65 Date: February 2026 DOI: 10.5281/zenodo.18616115 | Zenodo Archive Economic framework architecture for AI investment decisions integrating risk assessment, real options, and portfolio optimization Abstract Enterprise artificial…
AI Economics: Risk Profiles — Narrow vs General-Purpose AI Systems Author: Oleh Ivchenko Lead Engineer, Capgemini Engineering | PhD Researcher, ONPU Series: Economics of Enterprise AI — Article 3 of 65 Date: February 2026 Abstract Enterprise AI systems exhibit fundamentally different risk profiles depending on their architectural paradigm. This paper presents a comprehensive economic analysis…
The Day the Code Stopped Making Sense In March 2022, a senior architect at a Fortune 500 financial services firm stood before his team with a troubling admission. His organization had spent $47 million over three years building what they called “the most sophisticated fraud detection system in the industry.” The system worked—brilliantly, in fact—catching…
The 80-95% AI Failure Rate Problem By Oleh Ivchenko Lead Engineer, Capgemini Engineering | PhD Researcher, ONPU Enterprise AI Risk Research Series | Stabilarity Hub | February 2025 Executive Summary Enterprise artificial intelligence initiatives fail at rates between 80% and 95%—a staggering statistic that dwarfs failure rates in traditional software development. Despite billions in investment,…