Superpower Competitiveness in the 4IR: AI, FinTech
Antanas Buracas
Humanitarian and Social Sciences and Arts Division, Lithuanian Academy of Sciences, Vilnius, Gedimino3, LT01102, Lithuania; Mykolas Romeris University, Lukesciu 15, Vilnius, LT 04125, Lithuania
DOI: https://doi.org/10.59429/ff.v4i1.15298
Keywords: Fourth Industrial Revolution; artificial intelligence; FinTech; competitiveness; convergence; human capital; multicriteria analysis
Abstract
This study compares the competitiveness of the USA, EU, China and India over 2017–2025, using verified international indices (GII, GTCI, NRI) and descriptive indicators of AI, FinTech, human capital and innovation. Three exploratory propositions, motivated by endogenous growth in 4th Industrial Revolution, dynamic comparative advantage, and institutional theory, are examined. Innovation scores converge modestly relative to incomes per head. Talent competitiveness (GTCI) and Global innovation (GII) move together in levels, but initial talent does not predict later gains. Risk-based regulation is not associated with higher FinTech adoption: the EU records the lowest adoption, China the highest, the USA leads in capitalization. A Network Readiness Index (NRI) integrating talent, infrastructure, capital, regulatory complexity is partly computable. Three qualitative 2030 scenarios, with multipolar specialization most plausible, are exploratory, not forecasts. Policy implications (prioritizing human-capital investment, adaptive governance, infrastructure complementarity, open knowledge flows against costly technological decoupling) are hypotheses for testing on larger samples.
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