Purpose: This study aims to understand the importance and challenges of adopting artificial intelligence (AI) in the banking industry in Malaysia and examine the factors that are important in investigating consumers' intention to adopt AI in banking services.Design/methodology/approach: The qualitative research was carried out using in-depth interviews from officials in the baking industry to understand the importance and challenges of adopting AI in the banking industry. In the quantitative study, a total of 302 completed questionnaires were received from Malaysian banking customers. The data were analysed using the SmartPLS 3.0 software to identify the important predictors of their intention to adopt AI.Findings: The qualitative results reveal that AI is an essential tool for fraud detection and risk prevention. The absence of regulatory requirements, data privacy and security, and lack of relevant skills and IT infrastructure are significant challenges of AI adoption. The quantitative results indicate that attitude towards AI, perceived usefulness, perceived risk, perceived trust, and subjective norms significantly influence intention to adopt AI in banking services while perceived ease of use and awareness do not. The results also show that attitude towards AI significantly mediates the relationship between perceived usefulness and intention to adopt AI in banking services.Practical implications: Financial technology (FinTech) is regarded as a critical determinant of strategic planning in the banking industry. While AI provides various disruptive opportunities in the FinTech space in terms of data collection, analysis, safeguarding and streamlining processes, it also poses a sea of threats to incumbent banks. This study provides vital insights for the policymakers of the banking industry to address the challenges of adopting AI in banking. It also provides the important predictors of the bank customers' intention to adopt AI in banking services. Policymakers can devise their strategies to enhance AI adoption considering the facts.Originality/value: This study is amongst the pioneer in exploring the importance and potential challenges in implementing AI technology in banking services and identifying the essential factors influencing the intention to adopt AI in Malaysia's banking services.

Understanding the financial well-being of lower-income group is a critical concern of any government as this group struggles most to meet up with their necessities. Despite the significance, little is known about financial well-being of low-income group. This study attempts to investigate the relationship between financial literacy, financial behaviour, financial stress, and financial well-being of B40 group in Malaysia. A total of 412 usable responses was derived from a survey in Klang Valley and analysed the data following partial least squares structural equation modelling (PLS-SEM) techniques. The results demonstrate that financial behaviour is the key antecedent followed by financial stress and financial literacy in predicting financial well-being. Hence, balancing between income and expenditure, managing financial stress, and increasing financial literacy would be necessary to assure financial well-being of lower-income group people. Governmental and institutional interventions are essential to equip the low-income group people with employment opportunities and financial knowledge to manage their basic living standards.