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Technological acceleration, the rise of social networks, data mining, and the automation of creative processes in different formats all lead to a progressive virtualization of reality, to the “digitalization of public conversations” (Innerarity; Colomina 2020, p. 11). Within the realm of the symbolic conflicts that dominate politics at this point in the twenty-first century, these phenomena have had an intense impact on the behavior of organizations, political parties, candidates, and activists, transforming not only politics but also society more broadly through the accelerated “dehumanization” of sensitive social tasks and processes. Electoral campaigns, originally based on direct interpersonal contacts (in the nineteenth and early twentieth centuries), on mass media as the intermediary (from the mid-twentieth to the early twentieth centuries), and on the multi-platform modality characteristic of digitalization (present day), have retained human behavior as their main source of action, despite transformations in the sociotechnical media. In this context, the quest for votes was based on strategies conceived and executed with the logistical support of the techniques available at any given moment, giving a competitive advantage to those whose strategic technical innovation surpassed that of their opponents. For example, the emergence of information technology from Ronald Reagan’s first election campaign in 1980 onwards gave rise to a series of phenomena in the political arena, such as web pages (2000), meetups (2004), social networks (2008), micro-segmentation (2012), and data-driven campaigns in 2016, whose use rapidly became the norm. However, the advance of artificial intelligence (AI) heralds the start of a new and inevitable transformation in the dynamics of electoral contests. In this context, the modernization and consequent expansion of communication possibilities, from the production to the dissemination phase, makes it possible to collect data on voter behavior and use this to create personalized messages as well as facilitate the dissemination of automated messages with an enormous potential to artificially manipulate public debate. In addition, the use of AI has the capacity to exert a negative influence both on the information market and on the climate of social relations, even going so far as to create apparently real “facts” embedded in ultrarealistic representations of people and events, which are conceived with a degree of sophistication that increasingly surpasses the savoir-faire of the average hoaxer,2 and which use persuasion techniques that were “unthinkable in the past” and damage our collective ability to understand reality (Schick, 2020, p. 30). Furthermore, these technologies provide political parties and candidates with opportunities to gain a better understanding of reality, develop sophisticated strategies, and optimize their communication with voters. On the other hand, they also enable an increase in the institutional capacities of electoral bodies, for example, in the fields of improving relations with society, the logistical organization of processes, the updating of electoral registers, voter identification, the detection of disinformation through social listening and network monitoring, and the construction of communication strategies to disseminate content, using “counter-discourse” as a “combat tactic” (Prado, 2022, p. 51).