AI, fake accounts and advertising: the gray areas of the digital election campaign

The 2026 Moroccan legislative elections marked a strategic transition from physical campaigning to digital-first engagement. Unlike the 2021 cycle, where digital tools were a necessity due to pandemic restrictions, the current shift represents a conscious choice to prioritize social media screens over in-depth programmatic debate. This transition is evidenced by a fourfold increase in top-tier advertising expenditures and the integration of undisclosed AI-generated content.
Data indicates a significant decoupling between digital reach and actual engagement. While the RNI maintains the largest follower base, the PAM generates the highest volume of interactions, suggesting that visibility does not automatically translate into mobilization. Furthermore, the quality of democratic discourse has been challenged by a convergence of party platforms on key social issues and a rise in personal notoriety over policy substance. Concerns persist regarding the transparency of AI usage and the accuracy of promises that blur the jurisdictional lines between parliamentary and local authority.

* Morocco held legislative elections in 2026.
* Political parties used social media as a central campaign arena.
* The highest digital advertising spend by a single party was nearly $836,000.
* Digital advertising spend in 2021 for the top-spending party was $206,000.
* 538 paid political advertisements appeared on Facebook and Instagram over eleven days for seven parties.
* The National Rally of Independents (RNI) has 1.4 million Facebook followers.
* The Justice and Development Party (PJD) has 1.2 million Facebook followers.
* The Authenticity and Modernity Party (PAM) has 562,000 Facebook followers.
* PAM recorded over 390,000 interactions; PJD recorded 336,268; RNI recorded approximately 177,500.
* AI tools were used to create images, videos, and digital characters.
* Electoral promises focused on purchasing power, employment, and social services.

The strongest version of this narrative highlights a systemic degradation of democratic deliberation, where the "aesthetic" of politics—driven by AI, sponsored reach, and influencer-style notoriety—supersedes the "substance" of governance. It warns that when political competition shifts to algorithmic arenas, the metric of success moves from policy viability to interaction rates.
The pattern here is the substitution of quantitative metrics (followers, spend) for qualitative outcomes (informed electorate). By focusing on the gap between audience size and engagement, the narrative exposes the fragility of digital popularity. The most concerning trend is the "institutional blur," where parties make promises that exceed their legal authority, effectively treating the electoral process as a marketing exercise rather than a contractual agreement between citizens and the state.
The root cause is the global "platformization" of politics, where the logic of the attention economy replaces the logic of the legislative assembly. This benefits parties with high capital and technical sophistication while marginalizing substantive debate. The second-order consequence is a potential decline in civic literacy, as voters struggle to distinguish between AI-generated personas and human representatives, or between legitimate legislative powers and impossible promises.
Patterns detected: none
Counterstrike Scan: A coordinated campaign using this narrative would likely weaponize the "AI deception" angle to delegitimize specific winners by claiming their support was manufactured by bots. The current content does not match this; it remains an institutional observation of trends rather than a targeted attack on a specific outcome.
Bridge Questions:
1. If interaction rates are a better measure of influence than follower counts, what specific types of content are driving that engagement?
2. How does the transition to digital-first campaigning impact the accessibility of politics for citizens without digital literacy or access?
3. In a landscape of converged party programs, what alternative metrics can voters use to differentiate political platforms?