Hype Cycle
A five-stage path technologies travel from innovation trigger through inflated expectations, disillusionment, enlightenment, and productive plateau.
Popularized by Gartner
Overview
A new technology surfaces (innovation trigger), gathers more enthusiasm than evidence (peak of inflated expectations), collapses under disappointment (trough of disillusionment), is rebuilt around honest use cases (slope of enlightenment), and finally settles into durable production value (plateau of productivity). The stages are coarse, but the shape repeats often enough — across consumer internet, mobile, cloud, blockchain, AR/VR, and now generative AI — that the frame has clear diagnostic value.
Why it earns a place in the catalog
Strategy in technology-adjacent markets fails most often when leaders mistake stage. Building around peak expectations leaves a company exposed to the trough. Avoiding the trough leaves a company late to the plateau. The Hype Cycle is the schema for asking, before sizing the bet, which stage the technology is actually in — and how much of the team's read is borrowed from media velocity rather than deployment evidence.
The error is rarely the technology. It is the stage at which the bet was sized.
Origins and attribution
Popularized by Gartner research beginning in 1995 (originally credited to analyst Jackie Fenn) and published annually as the Gartner Hype Cycle, the framework has been refined across subsequent decades and now applies across technology categories. The schema's intellectual ancestors include the technology adoption lifecycle work of Everett Rogers (Diffusion of Innovations, 1962) and the chasm-crossing work of Geoffrey Moore (Crossing the Chasm, 1991).
How Numen reads it
Numen weighs media velocity (a coarse proxy for hype intensity), venture funding concentration in the affected category, public-company forward-multiple compression or expansion in the affected sector, and the gap between announced deployments and verified production usage. The reading lands on one of the five named stages; confidence is held lower than for credit-cycle schemas because the indicators are noisier.
Phases
- Stage 1
Innovation trigger
A breakthrough surfaces. Evidence is thin; possibility is large.
- Stage 2
Peak of inflated expectations
Enthusiasm runs ahead of deployment. Capital floods in. Promises outpace proof.
- Stage 3
Trough of disillusionment
Current readFailures accumulate. Capital retreats. The technology is declared dead by people who never used it.
- Stage 4
Slope of enlightenment
Honest use cases emerge. The technology is rebuilt around what actually works.
- Stage 5
Plateau of productivity
Durable production value. The technology disappears into infrastructure.
Indicators
| Signal | Direction | Weight | Latest | Stage |
|---|---|---|---|---|
S&P 500 fred_sp500 | volatile | 1.00 | — | Trough of disillusionment |
VIX fred_vix | elevated | 0.80 | — | Trough of disillusionment |
10-Year Treasury Yield fred_dgs10 | elevated | 0.50 | — | — all |
Current reading
Trough of disillusionment
References
- Gartner, "Gartner Hype Cycle" (annual, since 1995; originally authored by Jackie Fenn).
- Everett M. Rogers, Diffusion of Innovations (Free Press, 1962; 5th ed. 2003).
- Geoffrey A. Moore, Crossing the Chasm (HarperBusiness, 1991; 3rd ed. 2014).
How Palanor watches this
Numen scores this schema continuously against the indicators above, joining the latest signal observations to the stage signatures and producing a weighted lean toward the stage that best fits the current composition. The global reading on this page is the public version. Stewards inside Palanor see the same schema tuned to their organization's strategic profile, with Numen commentary calibrated to their role and disposition.