Gürsoy, Sergen2026-01-242026-01-2420252651-5318https://search.trdizin.gov.tr/tr/yayin/detay/1319046https://hdl.handle.net/20.500.12868/4122This study aims to reveal the causal relationship between the stated value of 174 countries' readiness for artificial intelligence and its origin variables, to obtain asymmetric results and to identify local context-specific results. The method of the research is fsQCA (fuzzy-set Qualitative Comparative Analysis). According to the general findings, it has been determined that the presence/high level of all the condition variables for preparation for artificial intelligence is absolutely necessary and sufficient in the set-theoretical context. On the other hand, using the advantage of asymmetric findings, it was determined that the absence of DI and RE is absolutely necessary in the theoretical sense, while the other conditions are sufficient. According to the configuration findings, it has been determined that AI readiness is not dependent on a single variable but is determined by a combination of various factors according to the local context for countries.eninfo:eu-repo/semantics/openAccessArtificial IntelligenceHuman CapitalDigital InfrastructureLabor Economics and Industrial RelationsArticle1014094211319046