This article challenges the perception of Open-Source Intelligence (OSINT) as a revolutionary shift driven by the explosion of publicly accessible data. Instead, we argue that the rise of OSINT reflects an evolution of traditional intelligence practices: the collection, processing, analysis and dissemination of vast amounts of information. While the exponential growth of open-source data is reshaping the intelligence landscape, it is neither revolutionizing nor democratizing intelligence. Rather, it is prompting both state and non-state actors to explore how best to integrate OSINT practices and enhance digital literacy within their communities. Core OSINT challenges - information overload, reliability, and legal and ethical concerns - remain consistent with broader intelligence issues. Addressing these challenges provides a foundation for consolidating OSINT as a community of practice, and linking it to debates on the disputed role of security expertise in the public debate.