Henjoto (2026) proposed that technology-driven access and economic displacement are structurally independent, introducing the Access-Displacement Framework with seven testable contributions. That paper acknowledged a critical limitation: its empirical foundation was predominantly United States-centric. This companion paper addresses that limitation through systematic cross-country validation across ten economies spanning four income levels – Japan, Germany, Switzerland, China, South Korea, Indonesia, India, Singapore, Taiwan, and Israel. Three empirical programmes are reported. First, the Access-Displacement validation confirms that the access gap (GA) and displacement gap (GD) operate independently in six economies with full confirmation and two additional cases with partial confirmation. China is the sole worker-level failure, under conditions that do not generalise, and the United States is identified as a global outlier rather than the representative case that displacement predictions assume. Five absorption mechanisms are taxonomised: demographic, institutional, flexible, segmented, and state-mediated. Financial sector “AI displacement” is systematically misattributed in all ten countries examined: every major banking “AI layoff” headline decomposes into mergers, regulatory consolidation, or demographic attrition when investigated. Second, the Measurement Obsolescence Hypothesis is validated internationally across nine countries, confirming that household labour force survey degradation is a global structural phenomenon, not a US-specific failure. Third, the Economic Forcing Function is quantified empirically: frontier model training costs growing at 2.4 times per year while inference costs for equivalent capability decline 280-fold in two years, creating a measurable forcing function toward hybrid deployment architectures. Together, these three programmes provide cross-country empirical evidence for the Access-Displacement Framework’s central claims.
Vito Henjoto (Wed,) studied this question.