Technology Convergence
Technology Convergence
One-line summary: Seba/RethinkX's claim that disruptions happen when several independently-improving cost curves intersect at the same moment, opening a "vast new possibility space" that no single technology's trajectory would predict.
The insight
Entrepreneurs build products whose cost curves improve over time; when multiple such technologies converge, they enable products that linear forecasters miss entirely. The canonical example is the smartphone — the convergence of 2.5G connectivity, touchscreens, sensors, processing power, and energy-dense lithium-ion batteries "at just the right time." Convergence is why disruption is non-linear at the system level even when each component is improving smoothly: the interaction, not any single curve, creates the rupture. For investing this maps onto correlated, mutually-reinforcing theses (multiple S-curves climbing together) rather than one isolated bet.
Evidence
- From 2026-06-16-autoresearch-tony-seba-technology-disruption-s-curves: "technologies within our system are improving in costs and capability at different rates" and when they intersect they create "a vast new possibility space" (RethinkX); the smartphone convergence example (2.5G + touchscreens + sensors + processing + Li-ion).
- From 2026-06-16-autoresearch-tony-seba-technology-disruption-s-curves: RethinkX extends convergence to "five foundational sectors" (information, energy, food, transportation, materials) disrupted 2020-2033.
Design implications
- Convergence is the qualitative case for treating reinforcing theses as a cluster (correlated risk) rather than independent bets — relevant to how a portfolio budgets exposure.
Contradictions / tensions
- Convergence arguments are the part of the Seba framework most prone to timing error — see tony-seba's track record: the transportation thesis was conditional on full autonomy arriving in the early 2020s, which it didn't.