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Reconfiguring Expertise, Trust, and Customer-Centricity in the Age of Artificial Intelligence and Distributed Digital Systems
Dr. Amara Okafor , Department of Finance and Banking, University of Cape Town, South AfricaAbstract
The rapid diffusion of artificial intelligence, blockchain technologies, big data analytics, and digitally mediated service systems is fundamentally reshaping professional expertise, organizational structures, and customer relationships across industries, particularly in financial services and adjacent knowledge-intensive sectors. This research article develops a comprehensive theoretical analysis of how these technologies jointly transform the nature of professional work, regulatory compliance, personalization strategies, and institutional trust. Drawing exclusively on established scholarly and authoritative sources, the study synthesizes perspectives from the future of professions, artificial intelligence in financial technology, regulatory technology, blockchain-enabled infrastructures, customer-centric digital transformation, and data privacy governance. Through an integrative qualitative methodology grounded in conceptual synthesis and interpretive analysis, the article identifies emerging patterns of hybrid expertise, algorithmically mediated decision-making, and hyper-personalized service architectures. The findings reveal that while artificial intelligence and distributed systems enhance efficiency, scalability, and customization, they simultaneously introduce profound ethical, governance, and legitimacy challenges related to transparency, accountability, bias, and erosion of privacy self-management. The discussion critically examines tensions between automation and human judgment, personalization and surveillance, decentralization and institutional control, as well as innovation and democratic accountability. By situating these dynamics within broader transformations of marketing science, political economy, and professional authority, the article contributes a unified theoretical framework for understanding digital transformation as a socio-technical reconfiguration rather than a purely technological evolution. The conclusion outlines implications for scholars, practitioners, and policymakers, emphasizing the need for adaptive regulatory regimes, redefined professional norms, and human-centered design principles capable of sustaining trust in increasingly automated and data-driven environments.
Keywords
Artificial intelligence, digital professions, fintech transformation, customer-centricity
References
Baruh, L., & Popescu, M. (2015). Big data analytics and the limits of privacy self-management. New Media & Society, 19(4), 579–596.
Ferguson, T., Jorgensen, P., & Chen, J. (2018). Industrial structure and political outcomes: The case of the 2016 US presidential election. In I. Cardinale & R. Scazzieri (Eds.), The Palgrave handbook of political economy. Palgrave Macmillan.
Riedmann-Streitz, C. (2017). Digitale Transformation: Die Marke in einer Welt disruptiven Wandels. In Gibt es noch Marken in der Zukunft? Springer Gabler.
Riedmann-Streitz, C. (2017). Future world: Hybrid brands in hybrid cities. In Gibt es noch Marken in der Zukunft? Springer Gabler.
Riedmann-Streitz, C. (2018). Redefining the customer centricity approach in the digital age. In A. Marcus & W. Wang (Eds.), Design, user experience, and usability: Theory and practice. Springer.
Ruggs, E. N., Walker, S. S., Blanchard, A., & Gur, S. (2016). Online exclusion: Biases that may arise when using social media in talent acquisition. In R. Landers & G. Schmidt (Eds.), Social media in employee selection and recruitment. Springer.
Rust, R. T., & Huang, M. H. (2014). The service revolution and the transformation of marketing science. Marketing Science, 33(2), 206–221.
Sharma, V., & Narayan, P. (2025). Hyper personalization in wealth management powered by medallion architecture. International Insurance Law Review, 33(S5), 507–531.
Susskind, R., & Susskind, D. (2015). The future of the professions: How technology will transform the work of human experts. Oxford University Press.
Tapscott, D., & Tapscott, A. (2016). Blockchain revolution: How the technology behind bitcoin is changing money, business, and the world. Penguin.
Treleaven, P., Galas, M., & Lalchand, V. (2019). RegTech: AI for financial compliance. Computer, 52(12), 41–47.
Vaidya, T., & Kumar, A. (2020). Smart banking and AI-driven automation in financial services. International Journal of Innovative Technology and Exploring Engineering, 9(4), 453–460.
Zeng, Y., Zhang, Y., & Jin, H. (2020). AI in FinTech: A survey. ACM Computing Surveys, 53(9), 1–36.
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