Synthetica: The First AI-Native Cohort and the Democratic Risks of Synthetic Infrastructures

Authors

  • Rosario Milelli Independent Scholar, Pleasanton, USA Author

DOI:

https://doi.org/10.47363/JAICC/2026(5)515

Keywords:

AI-native generation; political identity; synthetic sovereignty; democracy; media epochs; algorithmic governance; cognitive capture; epistemic collapse

Abstract

 This article advances the concept of Synthetica, the first AI-native cohort, building on earlier work that maps generational identity to technological epochs rather than arbitrary birth years. Born roughly between 2021 and the next technological revolution, Synthetica will grow up in environments mediated not by static media or algorithmic feeds but by adaptive artificial intelligence companions, immersive mixed realities, and ubiquitous autonomous systems.


 The central claim is political: just as broadcast television shaped Baby Boomers and algorithmic feeds shaped Millennials and Gen Z, the political life of Synthetica will be conditioned by a dual vulnerability. First, capture—synthetic infrastructures programmed by corporate and state actors who shape the boundaries of “reasonable” thought. Second, misuse—weaponization of AI for fraud, deep fakes, and disinformation that collapses the evidentiary ground of truth itself.

This article also situates Synthetica within the trajectory of media and politics, reviews evidence on how mediated environments shape cognition and political behavior, and outlines a research agenda for examining the democratic risks of an AI-constituted generation. The analysis does not claim inevitability; it identifies structural warning signs and emphasizes that outcomes remain open to regulation, civic innovation, and public oversight.

Author Biography

  • Rosario Milelli, Independent Scholar, Pleasanton, USA

    Rosario Milelli,  Independent Scholar, Pleasanton, USA

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Published

2026-03-16

How to Cite

Synthetica: The First AI-Native Cohort and the Democratic Risks of Synthetic Infrastructures. (2026). Journal of Artificial Intelligence & Cloud Computing, 5(2), 1-16. https://doi.org/10.47363/JAICC/2026(5)515

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