The Inclusion–Risk Paradox in FinTech and InsurTech: Effects of Algorithmic Access Expansion, Opacity, and Regulatory Safeguards

The rapid diffusion of FinTech and InsurTech has fundamentally reconfigured access to financial and insurance services, particularly in emerging economies. While algorithmic systems are widely promoted as mechanisms for expanding inclusion, growing evidence suggests that these same systems may intensify institutional risk, thereby producing an inclusion–risk paradox. This study investigates the effects of algorithmic access expansion, algorithmic opacity, and regulatory safeguards on financial and insurance inclusion and institutional vulnerability within FinTech and InsurTech ecosystems. Drawing on institutional theory and algorithmic governance perspectives, the study employs a quantitative research design using survey data collected from senior banking executives, FinTech leaders, and InsurTech decision-makers across regulated financial institutions in the Philippines. Structural equation modeling is used to examine the direct and moderating relationships among the study variables, with rigorous validity and reliability procedures applied to ensure measurement robustness. The findings demonstrate that algorithmic access expansion significantly enhances financial and insurance inclusion, yet simultaneously exacerbates institutional vulnerability when algorithmic opacity remains unmitigated. Regulatory safeguards are found to play a critical moderating role, dampening risk amplification while stabilizing inclusion outcomes. By empirically articulating the coexistence of inclusion gains and risk escalation, this study advances the theoretical understanding of algorithmic paradoxes in financial systems and extends institutional governance literature within the FinTech and InsurTech domains. The results offer important implications for policymakers, regulators, and industry leaders seeking to balance innovation-driven inclusion with institutional resilience in digitally mediated financial environments.