It’s always the same story. While the journalism profession is finally learning how to harness digital and data technology, artificial intelligence (AI) has surged ahead, leaving journalism back at its starting point: needing to rethink, once again, how journalists can leverage disruptive technology like AI to ensure quality journalism without jeopardizing the social value and longterm sustainability of the news media. Since the advent of online publishing in the 1990s, the recent history of journalism has been one of continuous technological challenges for the media industry, offering as many opportunities as uncertainties. In the fast-paced digital age, technology has become an integral part of news gathering and dissemination, and journalists have embraced innovative tools while steadily normalizing new professional routines. Now, in the 2020s, AI technologies suddenly pose a new, titanic challenge to journalism, heralding a profound impact on journalism and the media industry as a whole. Over the last few years, the increasing abundance of digital data has paved the way for data-driven journalism. Journalists have learned to analyse vast volumes of information, identify patterns and extract relevant insights. This data-driven approach has enhanced storytelling by providing journalists with a deeper understanding of complex issues, and facilitating the creation of engaging and informative content. Additionally, digital tools have helped