The historical pattern: bounded gaps, finite catch-up
Past waves rose above institutional capacity and then plateaued. The AI wave is modeled with the same early rise but keeps climbing.
Institutional capacity Past technology waves AI wave C: capability gap T: catch-up time
0 0.5 1 1.5 2 0 0.35 0.7 1.05 1.4
Time
Capability
Institutional capacity rises linearly
Past logistic technology wave 1
Past logistic technology wave 2
Exponential AI wave
C: capability gap
C
T: catch-up time
T
Institutional capacity: Time 0, Capability 0 Institutional capacity: Time 0.12, Capability 0.06 Institutional capacity: Time 0.23, Capability 0.12 Institutional capacity: Time 0.35, Capability 0.17 Institutional capacity: Time 0.46, Capability 0.23 Institutional capacity: Time 0.58, Capability 0.29 Institutional capacity: Time 0.7, Capability 0.35 Institutional capacity: Time 0.81, Capability 0.41 Institutional capacity: Time 0.93, Capability 0.46 Institutional capacity: Time 1.04, Capability 0.52 Institutional capacity: Time 1.16, Capability 0.58 Institutional capacity: Time 1.28, Capability 0.64 Institutional capacity: Time 1.39, Capability 0.7 Institutional capacity: Time 1.4, Capability 0.7
Past logistic wave 1: Time 0.02, Capability 0.02 Past logistic wave 1: Time 0.13, Capability 0.17 Past logistic wave 1: Time 0.25, Capability 0.18 Past logistic wave 1: Time 0.36, Capability 0.18 Past logistic wave 1: Time 0.48, Capability 0.18 Past logistic wave 1: Time 0.59, Capability 0.18 Past logistic wave 1: Time 0.7, Capability 0.18 Past logistic wave 1: Time 0.82, Capability 0.18 Past logistic wave 1: Time 0.93, Capability 0.18 Past logistic wave 1: Time 1.05, Capability 0.18 Past logistic wave 1: Time 1.16, Capability 0.18 Past logistic wave 1: Time 1.27, Capability 0.18 Past logistic wave 1: Time 1.39, Capability 0.18 Past logistic wave 1: Time 1.4, Capability 0.18
Past logistic wave 2: Time 0.34, Capability 0.18 Past logistic wave 2: Time 0.43, Capability 0.28 Past logistic wave 2: Time 0.52, Capability 0.3 Past logistic wave 2: Time 0.61, Capability 0.3 Past logistic wave 2: Time 0.69, Capability 0.3 Past logistic wave 2: Time 0.78, Capability 0.3 Past logistic wave 2: Time 0.87, Capability 0.3 Past logistic wave 2: Time 0.96, Capability 0.3 Past logistic wave 2: Time 1.05, Capability 0.3 Past logistic wave 2: Time 1.13, Capability 0.3 Past logistic wave 2: Time 1.22, Capability 0.3 Past logistic wave 2: Time 1.31, Capability 0.3 Past logistic wave 2: Time 1.4, Capability 0.3 Past logistic wave 2: Time 1.4, Capability 0.3
Exponential AI wave: Time 0.62, Capability 0.31 Exponential AI wave: Time 0.65, Capability 0.32 Exponential AI wave: Time 0.68, Capability 0.33 Exponential AI wave: Time 0.71, Capability 0.35 Exponential AI wave: Time 0.74, Capability 0.37 Exponential AI wave: Time 0.77, Capability 0.41 Exponential AI wave: Time 0.8, Capability 0.46 Exponential AI wave: Time 0.83, Capability 0.54 Exponential AI wave: Time 0.86, Capability 0.65 Exponential AI wave: Time 0.89, Capability 0.8 Exponential AI wave: Time 0.92, Capability 1.02 Exponential AI wave: Time 0.95, Capability 1.34 Exponential AI wave: Time 0.98, Capability 1.79 Exponential AI wave: Time 1, Capability 2.16
Illustrative model. The C annotation marks a capability gap; T marks the catch-up time institutions would need if the curve stopped compounding.
Data: institutional-gap-model.csv
Description
This module restores the institutional-gap chart as its own research piece. It compares two bounded historical waves with an exponential AI wave that keeps widening before institutions can close the distance.
Methodology
The model uses a simple linear institutional-capacity line, two bounded logistic waves, and one exponential AI wave. It is a structural diagram, not an empirical forecast.
Data
All chart files for this module are local to this research folder.
Sources
Limitations
The chart is conceptual. It does not predict dates, regulatory capacity, or a specific AI ceiling; it shows why curve shape changes the burden placed on institutions.
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