Fast Forward Communication Agency · Working paper

Research article · Working paper · MAPEA / LA 2026

The state of strategic communication in Latin America, 2026

A Matrix of Authority, Political Economy and Algorithms (MAPEA) for reading institutional authority, political economy and algorithmic mediation.

Luis Martín1, 2

1Fast Forward Communication Agency. 2Independent researcher in strategic communication.  ORCID: 0009-0009-9773-0344 ·

Abstract

In 2026 Latin America is undergoing a profound transformation in the field of strategic communication. The region combines a structural crisis of institutional trust, political-economy conditions marked by high levels of inequality and labor informality, and an algorithmic dimension that is redefining the rules of visibility, reputation and legitimacy. This article proposes the MAPEA Analytical Matrix (Matrix of Authority, Political Economy and Algorithms) as an analytical tool to understand these dynamics in an interrelated way, through three dimensions —authority, political economy and the algorithmic— whose intersections shape the central tensions of the moment. Drawing on the analysis of high-authority primary sources (2025-2026), three strategic implications are derived: building authority through coherence and transparency, embedding contextual sensitivity into strategy design, and developing responsible governance of the algorithmic dimension.

Keywords: strategic communication; Latin America; institutional trust; political economy; artificial intelligence; algorithmic mediation; synthetic reputation.

Resumen

América Latina atraviesa en 2026 un momento de transformación profunda en el terreno de la comunicación estratégica. La región combina una crisis estructural de confianza institucional, condiciones de economía política marcadas por altos niveles de desigualdad e informalidad, y una dimensión algorítmica que redefine las reglas de visibilidad, reputación y legitimidad. Este artículo propone la Matriz de Autoridad, Política Económica y Algoritmos (MAPEA) como herramienta analítica para comprender estas dinámicas de forma interrelacionada, a través de tres dimensiones cuyas intersecciones configuran las tensiones centrales del momento: construir autoridad desde la coherencia y la transparencia, integrar sensibilidad contextual y desarrollar una gobernanza responsable de la dimensión algorítmica.

Palabras clave: comunicación estratégica; América Latina; confianza institucional; economía política; inteligencia artificial; mediación algorítmica; reputación sintética.

†Academic edition of the homonymous analytical report. The canonical experience is the interactive version; this is its downloadable working-paper edition. Length ≈ 8,250 words. Prepared in Mexico, June 2026 · v1.3.

AI use: conversion of an MS Word document (.docx) to PDF and calculation of estimated reading time. The analysis, interpretation and the matrix are of human authorship.

How to cite this document

Martín, Luis. 2026. The State of Strategic Communication in Latin America, 2026. Working paper / analytical report. Fast Forward Communication Agency. /en/research/mapea/


1Introduction & methodology

«The great enemy of communication, we find, is the illusion of it».— William H. Whyte, Is Anybody Listening? (Fortune, 1950, p. 174).

Latin America is experiencing a moment of complexity for strategic communication in 2026. The region combines a persistent crisis of institutional trust, high levels of inequality and labor precarity, and an accelerated technological transformation that is profoundly reshaping how messages are produced, distributed, and consumed. In this scenario, traditional communication strategies reveal growing limitations, while organizations—both public and private—face the need to adapt to a more fragmented, algorithmic, and demanding environment in terms of legitimacy.

Available data confirms this tension. Distrust toward governments remains structurally high, patterns of news consumption have shifted toward digital platforms with opaque recommendation logics, and the adoption of artificial intelligence is reconfiguring both professional practices and audience expectations. Against this backdrop, it has become necessary to develop analytical frameworks capable of understanding, in an integrated manner, the institutional, economic, and technological dimensions that condition strategic communication in the region.

This article emerges precisely from that need. Its purpose is to offer a rigorous and updated diagnosis of the state of strategic communication in Latin America in 2026, with particular attention to the interactions between institutional authority, structures of political economy, and the algorithmic dynamics that now mediate the relationship between organizations and their publics.

1.1Objectives

The present document has the following main objectives:

  • To characterize the current context of strategic communication in Latin America, identifying the principal tensions and opportunities facing organizations.
  • To propose and apply an original analytical framework —the MAPEA Analytical Matrix (Matrix of Authority, Political Economy and Algorithms)— capable of integrating institutional, economic, and technological dimensions in a coherent manner.
  • To offer strategic recommendations grounded in the analysis of primary sources and in the application of the conceptual framework developed.
  • To contribute to the generation of applicable knowledge for communication professionals as well as for institutional and corporate decision-makers in the region.

1.2Scope and approach

The study focuses on Latin America and the Caribbean, with particular attention to the countries with the greatest demographic and economic weight in the region. The period of analysis covers primarily the years 2025 and 2026, although references to previous years are included when they help illuminate current trends. The approach adopted is analytical and integrative: it does not limit itself to describing isolated phenomena but seeks to understand how the different dimensions of the communication ecosystem —institutional authority, economic and political conditions, and algorithmic mediation— influence one another and shape the conditions of possibility for strategic communication.

1.3The matrix as an analytical tool

To address the complexity of the object of study, this article employs the MAPEA Analytical Matrix (Matrix of Authority, Political Economy and Algorithms) as its central analytical framework, structured around three interrelated dimensions: the Dimension of Authority, which examines the capacity of actors to generate and sustain legitimacy and trust; the Dimension of Political Economy, which analyzes the structures of inequality, informality, and power that condition communication; and the Algorithmic Dimension, which studies the impact of platforms, algorithms, and artificial intelligence on visibility and the meaning of messages. The matrix is presented in greater detail in Section 2; its application throughout the text makes it possible to identify tensions and opportunities that would be difficult to perceive through a fragmented analysis of the variables.

1.4Research methodology

The preparation of this document has been based on the analysis of primary sources of high authority, primarily reports and studies published between 2025 and 2026 by international organizations, academic institutions, and specialized research centers. The main sources include reports from CEPAL, the Edelman Trust Barometer Latin America 2026, the Reuters Institute Digital News Report 2026, studies by the Inter-American Development Bank on artificial intelligence and digital transformation, as well as specialized research on corporate communication trends in the region.

The qualitative treatment of the sources was carried out through a deductive-inductive thematic coding process. A predefined coding scheme based on the three dimensions of the matrix was used as a starting point and subsequently enriched inductively with emerging categories during the reading of the sources. Cross-referencing of information was performed through analytical matrices that made it possible to identify convergences, contradictions, and information gaps across the different sources. Particular attention was paid to maintaining a clear separation between quantitative data of institutional origin and conceptual contributions of an interpretive nature, while ensuring the traceability of each statement to its original source. In addition, the recent work of Mario Riorda has been incorporated as a conceptual reference framework, particularly regarding the management of institutional crises and the transformations of political communication in the digital age; these contributions have been used as an analytical lens rather than as primary sources of quantitative data.

Figure 1Three baseline indicators for strategic communication in Latin America, 2025-2026.
53 %
Distrust toward governments in the region.EDELMAN TRUST BAROMETER LATAM 2026
46.6 %
Labor informality rate.CEPAL 2025
53.8 %
Organizations already investing in AI and automation.AND 2026
Table 1Key indicators for strategic communication in Latin America, 2025–2026.
IndicatorSourceLatest value2025–2026 trend
Monetary povertyCEPAL (2025)25.5 %Stable / slight improvement
Extreme povertyCEPAL (2025)9.8 %Persistent
Labor informality rateCEPAL (2025)46.6 %Remains high
Female labor force participationCEPAL (2025)51.8 %Significant gender gap
Distrust in governmentEdelman (2026)53 %Structural
Trust in newsReuters Institute (2026)25–31 %Low
AI adoption in corporate communicationAND (2026)53.8 %Growing
Difficulty measuring ROI of AI & dataAND (2026)69.2 %Major challenge

Note: Data correspond to the latest available year (primarily 2024–2025), with trends projected toward 2026. Sources: CEPAL; Edelman Trust Barometer LATAM 2026; Reuters Institute Digital News Report 2026; AND, Corporate Communication Trends in Latin America 2026.

2The MAPEA matrix: a lens for the algorithmic age

Analyzing strategic communication in Latin America in 2026 requires analytical tools capable of simultaneously addressing institutional tensions, economic and political conditions, and the technological transformations that now mediate the relationship between organizations and their audiences. To this end, the MAPEA Analytical Matrix (Matrix of Authority, Political Economy and Algorithms) has been developed as a conceptual framework.

The model begins from a straightforward observation: communication strategies can no longer be explained solely through the relationship between sender and receiver, nor through the management of channels alone. The combination of weakened institutional authority, deep structural inequalities, and an ecosystem increasingly mediated by algorithms and artificial intelligence demands a model that integrates these three dimensions in an interrelated manner. The matrix is organized around three analytical axes —authority, political economy, and the algorithmic dimension— whose intersections generate specific tensions that define the real terrain on which communication strategies move in the region. The value of the model lies precisely in making these interrelations visible.

2.1The three dimensions of the model

2.1.1Dimension of Authority: governance, legitimacy, and institutional trust

The dimension of authority refers to the capacity of institutional, corporate, and emerging actors to generate, sustain, and mobilize legitimacy and trust in the public sphere. It is not limited to the perceived credibility of governments or companies; it also includes the ability to define which issues enter the public agenda and which voices are considered legitimate to speak about them.

In Latin America, this dimension is undergoing a moment of structural fragility. The Edelman Trust Barometer Latin America 2026 places distrust toward governments in the region at 53 %. This figure does not reflect only an image problem, but a deeper erosion of institutional authority. At the same time, the Reuters Institute Digital News Report 2026 shows that trust in news has declined notably in several countries: 25 % in Colombia, 26 % in Argentina, and 31 % in Mexico. This dual crisis —institutional and media— has created a vacuum that new actors and dynamics, many of them algorithmic, are attempting to fill.

In this context, the work of Mario Riorda proves especially useful. Riorda (March 23, 2026) describes what he calls “crises of deviant conduct” as a type of institutional crisis characterized by rapid escalation, driven by public indignation in the face of behaviors perceived as fraudulent or morally unacceptable. According to the author, effective management of this type of crisis requires following five stages: the immediate removal of those involved (as a symbolic firewall), repair of the damage, full disclosure of information, ethical reinforcement of the structure, and the establishment of public oversight mechanisms. Riorda also warns against the risk of neglecting institutional forms under the assumption that there is prior consensus on the substance of discussions —an observation that takes on particular relevance in an environment where broad sectors already display skepticism toward official and corporate narratives.

The most direct consequence for strategic communication is that when institutional authority is weakened, narratives lose their capacity to be accepted as legitimate. In a fragmented ecosystem with high levels of news avoidance, organizations need to find new ways to build credibility: greater transparency, coherence between discourse and action, or the capacity to manage crises of legitimacy with speed and responsibility. It is pertinent to enrich this lens with other contributions: authors such as Ernesto Laclau and Chantal Mouffe have analyzed how populist discourses construct political identities through the articulation of unsatisfied demands —a process related to what Riorda terms “popularizing discourse”—, while the work of Pierre Rosanvallon on counter-democracy and of Nadia Urbinati on populism as a distorted form of representation provide complementary frameworks that situate these theses within a broader dialogue with contemporary political theory. From this perspective, the vacuum of institutional trust also opens space for new actors —grassroots territorial movements, horizontal networks, and experiences of community economy— that build legitimacy through proximity, reciprocity, and the concrete resolution of everyday problems.

2.1.2Dimension of Political Economy: inequality, informality, and power

The dimension of political economy addresses the material, regulatory, and power-related conditions that frame strategic communication. In Latin America, these conditions continue to be marked by high levels of inequality and informality. According to CEPAL (2025), in 2024, 25.5 % of the population was living in monetary poverty and 9.8 % in extreme poverty; the labor informality rate reached 46.6 %, with even higher figures in rural areas. This reality generates a profound segmentation of audiences: a significant portion of the population operates outside formal circuits of consumption, employment, and social protection, which limits their access to certain types of messages. Gender gaps further aggravate the situation: female labor force participation stood at 51.8 %, compared to 74.9 % for men, while unpaid care work represents between 19 % and 27 % of regional GDP.

2.1.3Algorithmic Dimension: platforms, AI, and visibility

The algorithmic dimension encompasses the technical infrastructures, recommendation systems, and artificial intelligence tools that currently mediate visibility and message consumption. The AND study (2026) indicates that 53.8 % of organizations already invest in automation and artificial intelligence, while 65.4 % use data for strategic decision-making; however, 69.2 % acknowledge difficulties in measuring return on investment.

2.2Intersections and dynamics between dimensions

The three dimensions maintain relations of mutual influence that configure the real terrain of strategic communication. One of the most relevant intersections occurs between authority and political economy: low institutional trust cannot be explained solely as a problem of perception, but is anchored in material conditions of inequality and informality that weaken the credibility of official and corporate narratives. Another significant intersection takes place between authority and the algorithmic dimension: the fragmentation of the information ecosystem and the declining weight of traditional channels have made algorithms play a central role in determining which voices achieve visibility, a mediation that can either reinforce or erode the authority of senders. Finally, the intersection between political economy and the algorithmic dimension proves especially delicate: the accelerated adoption of AI can generate efficiency gains, but also risks of exclusion when not managed according to equity criteria —effects amplified in a region with high levels of informality.

2.3Value of the matrix for strategic communication

The principal contribution of the matrix lies in its capacity to offer an integrated reading of an environment that is usually approached in a fragmented manner. By crossing the dimensions of authority, political economy, and algorithms, the model makes it possible to identify tensions and opportunities that remain hidden when variables are analyzed separately, and it helps formulate more precise questions: What kind of authority can be built in this specific context? What material constraints limit the reach of certain narratives? What algorithmic dynamics are shaping visibility, and how can they be managed responsibly?

3Political economy in Latin America, 2026

Strategic communication does not operate in a vacuum. Its possibilities and limits are deeply conditioned by the economic, social, and political structures in which it is embedded. In Latin America, these structures present persistent characteristics that decisively shape the context in which organizations attempt to construct messages, generate trust, and mobilize support.

3.1Structural inequality and poverty

Latin America remains one of the most unequal regions in the world. According to the Panorama Social de América Latina y el Caribe 2025 by CEPAL, in 2024, 25.5 % of the population was living in monetary poverty, while 9.8 % lived in extreme poverty. Although these percentages represent an improvement compared to the worst moments of the pandemic, they remain structurally high. Inequality is not expressed solely in terms of income: it also manifests in unequal access to basic services, differences in educational quality, and digital divides. This reality generates highly differentiated publics, with varying capacities to access, process, and respond to information. Communication strategies that fail to account for this heterogeneity tend to address, implicitly, the sectors with greater access and cultural capital.

3.2Labor informality and precarity

One of the most characteristic features of the Latin American economy is the high rate of labor informality. In 2024, 46.6 % of the workforce was in informal employment, with figures exceeding 60 % in several countries. This condition implies not only economic instability but also reduced access to social protection and a weaker relationship with formal institutions. Informality has direct consequences for strategic communication: messages that presuppose labor stability, access to corporate benefits, or a regular relationship with the financial system prove of little relevance to a very significant portion of the population. Organizations that fail to adjust their messages and channels to this reality run the risk of producing narratives disconnected from the experience of broad sectors of society.

3.3Gender gaps and unpaid care work

Gender inequalities remain a relevant structural factor. Female labor force participation stood at 51.8 % in 2024, compared to 74.9 % for men. This gap is compounded by a greater presence of women in informal employment and by a highly unequal distribution of unpaid care work, whose economic value is estimated at between 19 % and 27 % of regional GDP. From the perspective of strategic communication, a significant part of female audiences faces time, access, and resource constraints that must be considered when designing messages and selecting channels.

3.4Implications for strategic communication

The panorama described above requires recognizing that there is no homogeneous public. Differences in material conditions generate fragmented audiences that respond differently to the same messages; strategies that assume an idealized receiver —with economic stability and regular digital access— tend to lose effectiveness or generate rejection among sectors that do not recognize themselves in that profile. Moreover, the persistence of inequality poses an ethical and strategic challenge: organizations that aspire to build lasting relationships of trust need to demonstrate coherence between their discourse and the real conditions in which a significant part of the population lives.

4Institutional authority & trust

The capacity to generate and sustain authority constitutes one of the fundamental conditions for the effective exercise of strategic communication. Without a minimum of legitimacy and trust on the part of audiences, narratives lose their ability to circulate, be believed, and mobilize support.

4.1The state of institutional trust

Available data reveal a situation of structural distrust. According to the Edelman Trust Barometer Latin America 2026, 53 % of the population expresses distrust toward governments, a figure that reflects the consolidation of a long-term trend aggravated by economic crises, corruption scandals, and a widespread perception of institutional ineffectiveness. Distrust is not limited to the governmental sphere: the Reuters Institute Digital News Report 2026 documents a sustained decline in trust in news —25 % in Colombia, 26 % in Argentina, and 31 % in Mexico—, reflecting not only a crisis of media credibility but also a growing fragmentation of the information ecosystem.

4.2Crisis of legitimacy and popularizing discourses

The erosion of institutional authority also has a discursive and performative dimension. Mario Riorda (June 14, 2026) has pointed to the growing presence of what he calls “popularizing discourse”, a rhetorical strategy that pushes political representation toward performative formats and tends to strain the limits of what is considered legitimate democratic practice. Riorda also warns against neglecting institutional forms under the assumption that there is prior consensus on the substance of discussions: when institutions relax or abandon formal standards of communication and behavior, they generate a perception of arbitrariness that further erodes their legitimacy. The notion of “crises of deviant conduct” (Riorda, March 23, 2026) proves useful for understanding how certain crises of legitimacy are activated and escalate, characterized by rapid combustion driven by citizen indignation; the way institutions respond —particularly if they opt for opacity or the closed defense of those involved— can determine whether the crisis is contained or significantly amplified.

It is pertinent to situate these categories in dialogue with other relevant contributions in the field. The work of Nadia Urbinati on populism as a distorted form of representation, or the analyses of Pierre Rosanvallon on counter-democracy and new forms of institutional distrust, allow Riorda’s theses to be read within a broader framework; likewise, the studies of Ernesto Laclau on the discursive construction of political identities offer tools for understanding how “popularizing discourses” articulate unsatisfied demands and reconfigure the space of representation. From this perspective, the weakening of institutional authority also opens the possibility for new actors —territorial movements, community care networks, horizontally articulated leaderships, or experiences of solidarity economy— to construct alternative forms of legitimacy through proximity, reciprocity, and the effective resolution of everyday problems.

4.3Media and informational fragmentation

The crisis of authority is reinforced by the profound changes in the media ecosystem. The declining weight of traditional media and the rise of digital platforms have fragmented the public sphere and weakened the mechanisms through which institutions used to build legitimacy. The Reuters Institute Digital News Report 2026 shows that a significant proportion of the population actively avoids consuming news; this avoidance responds not only to fatigue but also to a perception of irrelevance or bias in traditional media.

4.4Implications for strategic communication

The situation obliges organizations to assume that authority is not automatically granted by occupying an institutional position: it must be built and renewed continuously. It also requires special attention to coherence between discourse and action, since in contexts of low trust, discrepancies tend to be detected quickly and generate significant reputational costs. Informational fragmentation, in turn, requires rethinking channels and formats: strategies that depend exclusively on traditional media have an increasingly limited reach, so organizations need to build presence in more fragmented ecosystems while maintaining narrative coherence and credibility.

5The algorithmic dimension: platforms, AI & visibility

Strategic communication in Latin America increasingly operates within an ecosystem mediated by algorithms. Decisions about which messages are shown, to whom, and in what context are strongly conditioned by automated systems of recommendation, content moderation, and content generation.

5.1The transformation of the visibility ecosystem

Over the past decade, digital platforms have progressively displaced traditional media as the main spaces for the circulation of information. This shift has not been merely quantitative: it has modified the rules of visibility. It is no longer enough to produce relevant content; it is also necessary to understand and adapt to the algorithmic logics that determine which contents are amplified. In 2026, this dynamic has intensified with the mass incorporation of generative artificial intelligence into search engines and virtual assistants: language models synthesize information about organizations without these having direct control over the outcome, generating a “synthetic reputation” that can significantly influence public perception.

5.2Adoption of artificial intelligence in communication

The use of artificial intelligence tools by communication departments has grown significantly. According to the Corporate Communication Trends in Latin America 2026 study, 53.8 % of organizations already invest in automation and artificial intelligence and 65.4 % of communication departments claim to use data for strategic decision-making. However, this adoption presents important limitations: 69.2 % of communication leaders identify difficulty in measuring return on investment as one of their main challenges. This gap between technological adoption and the actual capacity to demonstrate results reflects not only a technical issue but also a limitation in data-governance capabilities. The speed of adoption also generates risks: reports from the Inter-American Development Bank (2026) warn that an excessively rapid technological transition can generate permanent social costs, including the definitive expulsion of workers from the formal labor market.

5.3Changes in news consumption patterns

The shift in news consumption toward short-form video platforms has substantially modified the conditions of visibility. The Reuters Institute Digital News Report 2026 shows that platforms such as TikTok have become relevant channels for accessing news in several countries in the region: in Peru, 45 % of the population already uses this platform to stay informed. This change reduces the effectiveness of strategies based exclusively on traditional media or long-form content, and forces organizations to adapt their messages to more fragmented consumption logics, competing for attention in environments where information quality is not always the primary criterion for visibility.

5.4Synthetic reputation and governance challenges

One of the most relevant phenomena of recent years is the emergence of “synthetic reputation”: the image that artificial intelligence systems generate about an organization based on dispersed information found on the internet. This reputation does not depend exclusively on communication assets controlled by the organization itself, but is constructed from mentions in media, user opinions, and other third-party content. This situation requires the development of algorithmic governance capabilities: understanding which sources are influencing the “synthetic reputation”, identifying possible biases or inaccuracies, and designing strategies to generate consistent signals of authority that automated systems can recognize.

5.5Implications for strategic communication

The algorithmic dimension poses several challenges. It requires rethinking traditional models of measurement and attribution, as vanity metrics are increasingly insufficient; the fragmentation of consumption requires diversifying channels and formats; and the governance of “synthetic reputation” is becoming an area of growing strategic importance. Finally, the use of artificial intelligence in communication processes requires clear criteria of responsibility and transparency, whose absence can generate significant reputational risks in a context of low institutional trust. In summary, the algorithmic dimension in 2026 is characterized by accelerated adoption of AI technologies, a profound change in consumption patterns, and the emergence of new challenges related to visibility, results measurement, and reputation governance; organizations that manage to integrate these transformations in a strategic and responsible manner will have greater possibilities of building authority in an environment increasingly mediated by automated systems.

6Critical intersections between the three dimensions

The three dimensions of the matrix —authority, political economy, and the algorithmic— do not operate in isolation. Their relations of mutual influence configure the real terrain on which strategic communication develops, and understanding them is essential to avoid partial diagnoses and to design strategies that respond to the complexity of the current context.

6.1Authority and political economy

One of the most relevant intersections occurs between the dimension of authority and that of political economy. Low institutional trust in the region cannot be explained solely as a problem of perception or deficient communication: it is deeply anchored in material conditions of inequality, informality, and precarity. When broad sectors of the population experience labor instability, low income, and limited access to social protection, institutional and corporate narratives face greater difficulties in being perceived as legitimate. Distrust is not merely a credibility deficit; it is also a rational response to institutions that, in many cases, fail to resolve —or even aggravate— citizens’ living conditions. Strategies that seek to strengthen institutional authority without considering the constraints imposed by political economy tend to prove ineffective or even counterproductive.

6.2Authority and the algorithmic dimension

Another significant intersection takes place between the dimension of authority and the algorithmic dimension. The erosion of traditional mechanisms of legitimation has made algorithms play an increasingly central role in determining which voices and contents achieve public visibility. In this new environment, the construction of authority no longer depends solely on institutional coherence or relationships with traditional media, but also on the capacity to generate signals of credibility that automated systems can recognize and amplify. “Synthetic reputation” has become a relevant factor that institutions and companies do not fully control, posing a double challenge: developing technical and strategic competencies to operate in algorithmic environments without abandoning the principles of transparency and coherence that sustain authority in the long term.

6.3Political economy and the algorithmic dimension

The intersection between political economy and the algorithmic dimension proves especially critical. The accelerated adoption of artificial intelligence can generate efficiency gains, but it also carries risks of social exclusion when not managed according to equity criteria. In a region with high levels of labor informality and multidimensional poverty, an excessively rapid technological transition can amplify pre-existing inequalities. This intersection obliges organizations to consider not only the technical efficiency of their algorithmic tools, but also their social impact.

6.4Synthesis: tensions and opportunities for 2026–2027

The intersections between the three dimensions reveal a scenario characterized by structural tensions, but also by opportunities for those who manage to read the context in an integrated manner. Organizations that develop a simultaneous reading of authority, political economy, and algorithms will be able to identify more precise levers for intervention and more robust strategies.

7Strategic implications for communication

The analysis shows that strategic communication in Latin America in 2026 faces an environment marked by the superposition of three major tensions: the erosion of institutional authority, the structural constraints of political economy, and increasing algorithmic mediation. These tensions reinforce one another and configure a complex field of action, but also one full of opportunities for those who manage to read it with precision.

7.1Cross-cutting implications

The first major implication is the need to abandon fragmented approaches: strategies that address institutional trust without considering the material conditions of audiences, or that invest in algorithmic tools without evaluating their impact on the perception of legitimacy, tend to generate partial or counterproductive results. A second implication is the urgency of developing capabilities for integrated contextual reading: organizations that combine the analysis of institutional, structural, and algorithmic data will have a significant advantage in anticipating risks and designing more precise interventions. Finally, the current context demands greater coherence between discourse and action, since in an environment of low trust and high fragmentation, discrepancies tend to be detected quickly and erode credibility in an accelerated manner.

7.2Recommendations to strengthen authority

In the realm of institutional authority, organizations must prioritize coherence and transparency as pillars of their communication. This implies avoiding the use of “popularizing discourse” as a short-term strategy, managing crises of legitimacy with speed and openness, and protecting institutional forms. They must also develop capabilities to build authority in algorithmic environments, actively monitoring their “synthetic reputation” and generating consistent signals of credibility.

7.3Recommendations from political economy

From the political economy dimension, recommendations point toward greater contextual sensitivity in the design of communication strategies: recognizing the heterogeneity of audiences, adjusting channels and formats to the real conditions of access and consumption, and avoiding narratives that may be perceived as exclusionary for those facing conditions of informality or precarity.

7.4Recommendations in the algorithmic realm

In the algorithmic dimension, recommendations focus on responsible governance and strategic adaptation to new visibility environments: developing capabilities to measure results beyond platform metrics, investing in the governance of “synthetic reputation”, adopting clear criteria of transparency in the use of algorithms, and diversifying channels and formats.

7.5Synthesis and strategic priorities

The strategic implications can be summarized in three major axes: build authority through coherence and transparency; integrate contextual sensitivity at all stages of communication planning; and govern the algorithmic dimension responsibly.

Table 2Strategic implications by MAPEA dimension.
MAPEA dimensionMain challengeKey strategic implicationPriority recommendation
AuthorityLow institutional trust and “popularizing discourses”Narratives lose legitimacy without coherence between discourse and actionStrengthen transparency and responsible crisis management
Political EconomyHigh informality and inequalityA large share of the audience operates outside formal consumption and communication circuitsDesign messages and channels with contextual sensitivity
Algorithmic DimensionAccelerated AI adoption without clear measurement of resultsRisk of “synthetic reputation” and loss of control over visibilityDevelop algorithmic governance and impact-measurement capabilities

Note: This table summarizes the main strategic implications derived from the analysis of the three dimensions of the matrix. The recommendations are oriented toward organizations seeking to build legitimacy and communicative effectiveness in the current Latin American context.

8Conclusions

Latin America faces in 2026 a context of strategic communication that has been profoundly transformed. The combination of structurally weakened institutional authority, political economy conditions marked by inequality and informality, and an algorithmic dimension that redefines the rules of visibility and legitimacy configures an environment of high complexity.

This article has sought to provide analytical clarity through the matrix, which proposes an integrated reading of three dimensions that are usually addressed separately. Its application has made it possible to identify not only the specific challenges of each dimension, but also the critical intersections that determine the real conditions of strategic communication in the region. The main findings can be synthesized into three major observations. First, the erosion of institutional authority is not an isolated problem of perception: it is deeply intertwined with material conditions of inequality, informality, and precarity. Second, the algorithmic dimension has ceased to be a secondary technical factor to become a central element that redefines the rules of visibility and legitimacy. Third, the intersections between the three dimensions constitute the terrain on which the greatest tensions and opportunities are played out.

Looking ahead to the coming years, organizations that aspire to develop strategic communication with real impact will need to advance simultaneously on three fronts: building authority through coherence and transparency, integrating contextual sensitivity in the face of the material conditions of their audiences, and governing the algorithmic dimension responsibly. These three priorities reinforce one another and configure the core of a strategic communication approach adapted to the challenges of the present. The matrix offers a lens that allows translating diagnosis into concrete lines of action; in a Latin American context marked by structural distrust, persistent inequality, and accelerated technological transformation, this capacity for integrated reading represents a significant strategic advantage for those seeking to develop communication with legitimacy and sustainable impact.

§Declarations

Authorship
Luis Martín. Conception, analysis, writing, and development of the matrix.
Funding
This research received no specific external funding.
Conflict of interest
The author declares no conflicts of interest.
AI use
Conversion of an MS Word document (.docx) to PDF and calculation of estimated reading time. The analysis and interpretation are of human authorship.
Edition · version
Academic edition in English · v1.3 · June 2026.

Disclaimer: this document is based on publicly available sources and on an analytical interpretation of them. Data correspond to the latest available figures at the time of writing (primarily 2024–2025), with trends projected toward 2025–2026. The matrix constitutes an original analytical model. The interpretations and recommendations reflect the author’s analysis and do not necessarily represent the official position of the organizations cited. This text is reflective and strategic in nature and does not substitute for specific professional advice.

ADetailed methodology

This document was prepared by combining quantitative analysis of secondary indicators with a qualitative interpretive approach. The main sources correspond to reports published between 2025 and 2026 by internationally recognized organizations.

The qualitative treatment of the sources was carried out through a deductive-inductive thematic coding process. A predefined coding scheme based on the three dimensions of the matrix was used as a starting point and subsequently enriched inductively with emerging categories during the reading of the sources. Cross-referencing of information was performed through analytical matrices that made it possible to identify convergences, contradictions, and information gaps across the different sources. Particular attention was paid to maintaining a clear separation between quantitative data of institutional origin and conceptual contributions of an interpretive nature, while ensuring the traceability of each statement to its original source. In addition, the recent work of Mario Riorda has been incorporated as a conceptual reference framework, particularly regarding the management of institutional crises and the transformations of political communication in the digital age; these contributions have been used as an analytical lens rather than as primary sources of quantitative data.

BGlossary of key concepts

Authority
The capacity of institutional, corporate, or emerging actors to generate, sustain, and mobilize legitimacy and trust in the public sphere.
Crises of deviant conduct RIORDA
A type of institutional crisis driven by public indignation in the face of behaviors perceived as fraudulent, corrupt, or morally unacceptable, characterized by rapid escalation.
Popularizing discourse RIORDA
A rhetorical strategy that pushes political representation toward performative formats, turning democratic practice into performances whose institutional legitimacy is questionable.
Algorithmic Dimension
The set of technical infrastructures, recommendation algorithms, and artificial intelligence systems that mediate the visibility, distribution, and perception of messages.
Political Economy
The material, regulatory, and power structures (inequality, informality, gender gaps, etc.) that condition the possibilities of strategic communication.
MAPEA Matrix MARTÍN
Matrix of Authority, Political Economy and Algorithms. A multidimensional analytical tool developed by Luis Martín.
Prevalence of forms RIORDA
A principle that warns against neglecting formal standards of communication under the assumption that prior consensus exists on the substance.
Digital point of no return RIORDA
The historical moment (around 2018) when the convergence of social media, mass data use, and automation irreversibly reconfigured political and social activation.
Synthetic reputation MARTÍN
The image or perception that artificial intelligence systems generate about an organization based on dispersed information on the internet, beyond the organization’s direct control.
Algorithmic adoption velocity ()
A metric describing the pace at which organizations restructure their operations around artificial intelligence.

COperationalization of the matrix: indicators and metrics

The practical usefulness of the matrix depends on its translation into observable and measurable indicators. Table 3 presents an operationalization system that enables organizations to move from the conceptual framework to day-to-day management.

Table 3Indicator system for operationalizing the matrix.
DimensionKey indicatorMetric typeExample of operationalizationFrequencySource / method
AuthorityNarrative-institutional coherenceQualitative + Quantitative% of audited messages that remain coherent with the organization’s real actionsQuarterlyNarrative audit + action review
AuthorityEffective management of legitimacy crisesQualitative% of crises managed following Riorda’s 5 stagesPer crisisInternal crisis-management protocol
Political EconomyContextual sensitivityQualitative% of campaigns including a prior diagnosis of the audience’s material conditionsPer campaignStrategic briefing checklist
Political EconomyAdaptation to informality contextsQuantitative% of messages designed with channels and formats adapted to audiences in informalityBiannualChannel and format mix analysis
Algorithmic DimensionGovernance of “synthetic reputation”Quantitative + QualitativeFrequency of monitoring mentions in language models + % of corrections implementedMonthlyMonitoring tools + protocol
Algorithmic DimensionReal impact-measurement capacityQuantitative% of campaigns with an attribution model beyond platform metricsQuarterlyResults-measurement dashboard

Note: This indicator system enables organizations to translate the conceptual framework of the matrix into concrete management and evaluation tools. Its application should be adapted to the size, sector, and analytical capacity of each organization.

§References

Institutional and research sources (2025–2026)

  • AND. (2026). Tendencias de la comunicación corporativa en América Latina 2026 [Corporate Communication Trends in Latin America 2026]. AND – Corporate Communication.
  • Inter-American Development Bank. (2026). Publications on artificial intelligence, digital transformation and development in Latin America and the Caribbean. IDB.
  • CEPAL. (2025). Panorama Social de América Latina y el Caribe 2025. Santiago: Economic Commission for Latin America and the Caribbean.
  • Edelman. (2026). 2026 Edelman Trust Barometer — Latin America. Edelman.
  • Reuters Institute. (2026). Digital News Report 2026. Oxford: Reuters Institute for the Study of Journalism, University of Oxford.

Conceptual and reference sources

  • Laclau, E. (2005). La razón populista. Buenos Aires: Fondo de Cultura Económica.
  • Martín, L. (April 28, 2026). Reputación sintética: la IA ya habla de ti. Señal Sintética. senalsintetica.substack.com
  • Martín, L. (May 12, 2026). La fórmula secreta nunca ha estado en el algoritmo. Luis Martín Consulting. luismartin.consulting
  • Mouffe, C. (2018). Por un populismo de izquierda. Buenos Aires: Siglo XXI Editores.
  • Riorda, M. (March 23, 2026). ¿Qué hacen los gobiernos ante las «crisis de conductas desviadas»? Boletín @maRIOrioRDA. mario-riorda.beehiiv.com
  • Riorda, M. (June 14, 2026). «En el Nombre del Pueblo» continúa. Capítulo 2: Las Redes y la Calle. Boletín @maRIOrioRDA. mario-riorda.beehiiv.com
  • Rosanvallon, P. (2007). La contrademocracia. La política en la era de la desconfianza. Buenos Aires: Manantial.
  • Urbinati, N. (2019). Me the People: How Populism Transforms Democracy. Cambridge: Harvard University Press.
  • Whyte, W. H. (September 1950). Is Anybody Listening? Fortune, p. 174.

Other secondary contextual sources were consulted to enrich the analysis, while always maintaining focus on data and reflections from 2025–2026.

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MAPEA · Academic edition · June 2026 · v1.3
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