The Law of Cycles
Foundational postulate
In 30 seconds
Systems are born, grow, stabilize, decline, and disappear. Technologies change. Cycles remain.
Civilization · Market · Enterprise
Mechanism
Slowing on a saturated market is cyclical. Structural system failure is not. Confuse the two and you pivot into a grave. The Substitution Illusion is cycle blindness with a tech costume: the tool changed, the need did not. Adoption Era is the other face — advantage shifts from shipping tools to changing habits once deployment starts.
Technology waves rhyme through seven phases: discovery → euphoria → deployment → disillusion → selection → commoditisation → invisible integration. Strategy that fits euphoria fails in commoditisation. Strategy that fits selection fails if you still sell novelty. Map the phase before you spend. AI decks that promise replacement are usually stuck in euphoria language while the field is already in deployment friction.
Technology cycle phases
- 01 Discovery Early signals, labs, and prototypes. Capability exists but markets and habits do not yet reorganize around it.
- 02 Euphoria Narrative and capital race ahead of deployment. Valuations and attention peak on possibility, not unit economics.
- 03 Deployment Real integration into workflows begins. Advantage shifts toward those who change habits, not only those who ship tools.
- 04 Disillusion Overpromise meets operational friction. Capital and attention correct; weak narratives exit.
- 05 Selection Systems filter structurally compatible players. Distribution, compliance, and capital fit decide who compounds.
- 06 Commoditisation Tools converge; margins migrate to orchestration, data, and switching costs. Feature races lose power.
- 07 Invisible integration Technology becomes infrastructure — assumed, priced in, no longer a differentiator by itself. The next wave starts at discovery.
Signals
- Hype-curve position maps to cycle phase (euphoria vs deployment).
- Growth decelerates with intact unit economics — likely cyclical saturation.
- Margin collapse plus dependency spike — structural decline, not cycle.
- Adoption metrics lagging deployment spend — Adoption Era signal inside the cycle.
- Tech labels rhyme across waves (mainframe, PC, internet, mobile, AI) without identical actors.
Falsifiers
- Entities permanently exempt from lifecycle phases across industries and centuries.
- Technology cycles showing no recurring pattern across multiple waves.
- Euphoria-phase tactics remaining optimal through commoditisation without adaptation.
Decision implications
- 01 Time strategy to cycle phase — build in deployment, harvest in commoditisation.
- 02 Invest in adoption mechanics when tools are commoditised.
- 03 Distinguish cyclical slowdown from systemic death before pivoting.
- 04 Use the seven technology phases as a checklist before capital allocation.
- 05 Expect selection after disillusion — prepare fit, not just narrative.
Edge cases
- Regulated monopolies can stretch stabilization — cycles still apply at the technology layer.
- Overlapping waves (mobile + AI) mix phase signals — diagnose per layer.