Access Without Displacement: An Access-Displacement Framework for AI Economic Transformation

For nearly a century, displacement predictions have consistently overestimated the labour marketconsequences of automation technologies. This paper proposes that the consistent directionalerror reflects a structural conflation: forecasters measure the speed of capability access andproject displacement on a corresponding timescale, when the two dynamics are governed bydifferent determinants and operate independently. The paper advances seven contributions. First, naming the unstated assumption dividing the displacement and complementarian traditions --AGI-R (artificial general intelligence as replacement) versus AGI-C (artificial generalintelligence as coexistence) -- transforms an implicit framing commitment into a testableempirical question, supported by five converging lines of evidence from biological neuroscience, philosophy of mind, deployment data, experimental studies, and meta-analysis. Second, theAccess-Displacement Framework formalises the independence of capability access andeconomic displacement through two variables -- the access gap (GA) and the displacement gap (GD) -- with cross-generational evidence across five technology transitions spanning twocenturies. Third, the Measurement Obsolescence Hypothesis documents accelerating degradationin Bureau of Labor Statistics benchmark data, with revisions escalating to 3. 4 times the historicalaverage in the absence of any declared recession. Fourth, the Sampling ResidualisationHypothesis identifies systematic survey nonresponse bias that disproportionately excludesworkers who have adapted to artificial intelligence. Fifth, the Organisational Absorption Ratedemonstrates that institutional integration capacity operates as a binding rate constraintregardless of technical capability -- a distinction absent from thirty-five years of absorptivecapacity research. Sixth, the Economic Forcing Function shows that the deceleration of Moore'sLaw drives deployment toward hybrid architectures that structurally embed human participation. Seventh, the Hybrid Swarm Architecture describes the three-layer deployment topology theseeconomic constraints produce. Each contribution is presented as a testable hypothesis withspecified falsification conditions, not as a conclusion. Keywords: artificial intelligence, labour markets, displacement, augmentation, AGI, measurement, organisational absorption