Anticipatory Intelligence Gap Research by Dmytro Grybeniuk
DOI: 10.5281/zenodo.18626628 | Zenodo Archive By Dmytro Grybeniuk, AI Architect | Anticipatory Intelligence Specialist | Stabilarity Hub | February 12, 2026 Target’s anticipatory system created $12 billion in value that reactive competitors couldn’t capture — the difference between systems worth billions and those worth nothing lies in architectural design. The $12 Billion Question: Why Did…
By Dmytro Grybeniuk, AI Architect | Anticipatory Intelligence Specialist | Stabilarity Hub | February 2026 State of the art in current approaches to predictive AI 1. Problem Statement: The Prediction Paradox The machine learning industry has invested over $340 billion globally in predictive systems since 2018, yet enterprise prediction accuracy for market behavior, content performance,…
📚 Academic Citation: Grybeniuk, D., & Ivchenko, O. (2026). Defining Anticipatory Intelligence: Taxonomy and Scope. Anticipatory Intelligence Series. Odesa National Polytechnic University. DOI: 10.5281/zenodo.14788542 1. Introduction: Why Rigorous Definition Matters In 2019, the U.S. Intelligence Community formally adopted “Anticipatory Intelligence” as a strategic priority, defining it as the ability to “sense, anticipate, and warn of…
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