Hype Cycle
OrganizationalThe Hype Cycle is a Gartner model describing the typical progression of emerging technologies through five phases: Technology Trigger (initial breakthrough generates interest), Peak of Inflated Expectations (publicity produces unrealistic enthusiasm), Trough of Disillusionment (implementations...
Detailed Explanation
The Hype Cycle is a Gartner model describing the typical progression of emerging technologies through five phases: Technology Trigger (initial breakthrough generates interest), Peak of Inflated Expectations (publicity produces unrealistic enthusiasm), Trough of Disillusionment (implementations fail to deliver on hype), Slope of Enlightenment (practical benefits become understood), and Plateau of Productivity (mainstream adoption with realistic expectations). For transformation leaders, the Hype Cycle provides a useful mental model for evaluating AI technologies: generative AI in 2024-2025 may be transitioning from the Peak toward the Trough, while more established AI capabilities like predictive analytics have reached the Plateau. Understanding where a technology sits on the Hype Cycle helps calibrate investment timing and expectations. COMPEL's evidence-based approach to use case evaluation provides a more rigorous alternative to hype-driven technology selection.
Why It Matters
Understanding Hype Cycle is essential for organizations pursuing responsible AI transformation. In the context of enterprise AI governance, this concept directly impacts how organizations design, deploy, and oversee AI systems particularly within the People pillar. Without a clear grasp of Hype Cycle, organizations risk creating governance gaps that undermine trust, compliance, and long-term value realization. For AI leaders and practitioners, Hype Cycle provides the conceptual foundation needed to make informed decisions about AI strategy, risk management, and stakeholder engagement. As regulatory frameworks such as the EU AI Act and standards like ISO 42001 mature, proficiency in concepts like Hype Cycle becomes not merely advantageous but operationally necessary for any organization deploying AI at scale.
COMPEL-Specific Usage
Organizational concepts are central to the People pillar of COMPEL. They are most relevant during the Calibrate stage (assessing organizational readiness and absorption capacity) and the Organize stage (designing the AI operating model, Center of Excellence, and role structures). COMPEL recognizes that technology adoption without organizational readiness leads to superficial implementation. The concept of Hype Cycle is most directly applied during the Calibrate and Organize stages of the COMPEL operating cycle. Practitioners preparing for COMPEL certification will encounter Hype Cycle in coursework aligned with the People pillar, and should be prepared to demonstrate applied understanding during assessment activities.
Related Standards & Frameworks
- ISO/IEC 42001:2023 Clause 7 (Support)
- NIST AI RMF GOVERN 1.1-1.7
- EU AI Act Article 4 (AI Literacy)