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Abstract

PurposeThis research undertaking investigates the intersection of Artificial Intelligence (AI) and sixth-generation (6G) networks, with the research question centered on the level of awareness, perceptions and attitudes of the respondents towards the merger of the two networks. It aims at realizing the perceptions of the stakeholders regarding the possible advantages and difficulties of such a new technological synergy.
Design/methodology/approachA quantitative research design was involved in which a structured questionnaire involving 289 respondents in academia, IT/telecom industry and research and development were used. Descriptive statistics were used to analyze data and convenience sampling was used. To aid clarity and interpretation, results were given in tabular and graphical form, in the form of pie charts, bar graphs and donut charts.
FindingsThe review showed that the majority of the respondents had high awareness of AI, whereas the level of awareness of 6G was less, but it remained high given the level of its development. A significant majority of people thought that AI would significantly contribute to the improvement of 6G networks by spending more resources wisely, better communication, cybersecurity, and use in the healthcare and education industry, and smart cities. Strong optimism regarding the potential of AI–6G integration was reported when judging by Likert scale responses; however, concerns were raised on the cost of infrastructure, ethics, and fair accessibility.
Originality/valueThis paper offers preliminary empirical evidence of the views of AI convergence with 6G by the stakeholders directly related to the sphere of technologies and research. Through its focus on opportunities and challenges, it adds to the expanding literature on next-generation communications systems and provides useful directions to policymakers, industry leaders and researchers in the development of strategies aimed at responsible adoption and development.
Key Words 
 Artificial Intelligence (AI), 6G Networks, Computing and Communication, Digital Transformation, Smart Technologies, Network Optimization