Since the advent of the internet, media scholars have theorised how emerging digital technologies lead to the development of new forms of journalism. Such theorisations romanticise the agency of technological innovations in media practice. A similar scholarship hype has resurfaced with the advancement of Artificial Intelligence and Machine Learning and the potential applications to journalism practice. The pressure to adopt the technology or perish in the Global South is immense. This chapter advances an argument that while change or continuity assumes both temporal and spatial dimensions, journalism futures should be informed by institutional and contextual factors that determine the adaptation of emerging technologies. Applying the Unified Theory of Acceptance and Use of Technology (UTAUT) Model, the chapter demonstrates how a complex interaction of factors influences how journalists adopt emerging technologies. It uses the analysis of how journalists in Malawi use links and multimedia at the story level to gauge how the adoption of technology occurs. The analysis was done on eight Malawian online news sites, about 80% of the known dedicated online news websites. This study has the potential to inform the integration of emerging technologies such as Artificial Intelligence and Machine Learning into modern and future journalisms in the Global South. It also contributes to the scholarly debates on the theoretical nexus between journalism futures and technology advances.