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In South Africa, only 6% of the population is expected to retire with financial independence, and the implementation of the Two-Pot retirement system in September 2024 exacerbates the retirement savings dilemma, underscoring an urgent necessity for creative retirement planning solutions. This article thoroughly delineates the present status of research into the utilisation of Robo-advisors in retirement planning. This analysis evaluates the appropriateness and feasibility of employing Robo-advisors to enhance and democratise digital financial advice within the context of a developing economy like South Africa, particularly through the adoption of the Two-Pot retirement scheme. A comprehensive literature analysis was conducted utilising the Emerald Insight, ProQuest, and Scopus databases to find peer-reviewed journal articles published between 2019 and 2024. These articles critically assessed the function of Robo-advisors in democratising financial advice, providing a cost-efficient, accessible, and perhaps less biassed alternative to conventional advising services. The study highlights the imperative for future research to guarantee the ethical, transparent, and controlled implementation of robo-advisory services in South Africa. The literature analysis delineates five pertinent study themes: emerging literature on Robo-advisors, behavioural dimensions, risk assessment, regulatory frameworks, and Robo-advisor characteristics pertinent to the South African retirement context, considering the Two-Pot retirement system.The report delineates potential research opportunities for each highlighted issue to aid scholars in performing empirical investigations aimed at optimising retirement planning in South Africa through the use of Robo-advisors.

This research assesses the levels of digital financial literacy (DFL) and the patterns of Fintech adoption among university students in South Africa. It expands the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to investigate the impact of demographic factors on DFL as a precursor to Fintech utilisation. A quantitative methodology utilised convenience sampling to distribute 376 questionnaires at two public universities in South Africa. Data analysis employed descriptive statistics, exploratory factor analysis, Kruskal-Wallis tests, and multiple linear regression using IBM SPSS version 29.0, with reliability evaluated through Cronbach's alpha coefficients. Findings reveal moderate to high levels of DFL among university students; however, notable knowledge deficiencies exist concerning consumer rights and redress mechanisms. Demographic analysis indicated that gender had no significant impact on DFL levels, whereas income, age, and educational attainment showed significant correlations. Three components of DFL demonstrated positive and significant correlations with university students' intentions to adopt Fintech products and services; however, awareness of digital financial risks did not significantly influence these adoption intentions. The findings enhance the theoretical framework of technology acceptance models in emerging markets and offer empirical evidence regarding DFL's influence on Fintech adoption. This study provides evidence-based recommendations for policymakers, financial institutions, and educational administrators aiming to improve financial inclusion initiatives and increase Fintech utilisation among university students in South Africa.