Archivo: 29 mayo, 2026

Tracability in agribusiness
Facu
29 May, 2026

Mandatory traceability and its impact on agro-export competitiveness

Global agro-industry is undergoing a structural transformation driven by new regulatory requirements, environmental pressure and changes in international purchasing criteria.

Tracability ceased to be an operational differential and became a condition of access for multiple strategic markets.

Europe leads much of that process. The implementation of the European Regulation against Deforestation (EUDR) incorporates source validation requirements for agro-industrial products linked to environmentally sensitive chains. Soak, beef, coffee, cocoa, wood and derivatives are part of the regulatory scope.

The change has a direct impact on Latin America.

The region concentrates a significant share of global exports of agricultural food and commodities. Brazil, Argentina, Paraguay, Uruguay, Colombia and other exporting markets are beginning to face increasing pressure on certification, documentary control and digital traceability.

Agro-export competitiveness is beginning to depend on variables that historically played a secondary role in the commercial structure.

Tracability advances to the centre of the export strategy

For years, much of regional agro-industrial competitiveness was associated with productivity, scale and logistics efficiency.

The new scenario adds another critical variable: the ability to demonstrate origin, productive practices and complete chain travel.

International buyers are incorporating stricter requirements on:

  • Production geolocation.
  • Environmental monitoring.
  • Documentary validation.
  • Policy compliance.
  • Identification of suppliers.
  • Operational transparency.

The impact reaches both direct exporters and industries linked to international processing, distribution and marketing.

Tracability begins to function as a mechanism of commercial validation and risk reduction for global buyers.

Europe accelerates global regulatory change

The European Regulation against Deforestation became one of the main processing catalysts for the exporting agribusiness.

The rules require that certain products do not come from deforested areas after December 2020 and set due diligence obligations for operators and traders.

The effect transcends Europe.

International regulations often expand standards over the entire global supply chain. Exporting companies are beginning to adapt processes even in markets where regulatory requirements are not yet mandatory.

The phenomenon also influences:

  • International funding.
  • Commercial insurance.
  • Access to premium chains.
  • Supply agreements.
  • Relations with big retailers.

Tracability gains weight as a reputational and financial variable.

Productive fragmentation increases operational complexity

Latin America has a heterogeneous and highly fragmented agro-industrial structure in multiple chains.

This scenario creates relevant challenges for implementing integrated traceability systems.

The difficulties are at different levels:

  • Geographical displacement.
  • Low digitization.
  • Manual documentation.
  • Multiples of intermediaries.
  • Technological differences between producers.
  • No data integration.

Dependence on traditional trade structures also limits speed of adaptation.

In several regional markets, an important part of agro-industrial operations continues to operate with low capacity for comprehensive digital monitoring.

Regulatory pressure accelerates the need for technological investment and operational reorganization.

Technology begins to define market access capacity

Digital tools linked to traceability are rapidly advancing within the agro-industrial ecosystem.

Exporting companies and global operators incorporate:

  • Blockchain.
  • Satellite monitoring.
  • Certification platforms.
  • Artificial intelligence applied to documentary validation.
  • IoT sensors.
  • Integration of productive data.
  • Specialized ERP systems.

The objective is focused on continuous audit, control and validation capacity.

Technology ceases to function only as an efficiency tool and becomes integrated into the export competitiveness structure.

Companies with the highest level of digital integration find advantages in:

  • Regulatory response speed.
  • Commercial access.
  • Operational predictability.
  • Reputational risk reduction.
  • International negotiating capacity.

Intermediators lose value capture capacity

Mandatory traceability also changes the intermediation logic within agro-industry.

International buyers prioritize relationships with actors that can guarantee reliable information, validated documentation and visibility on productive origin.

This change strengthens companies with more chain integration and more professional business structures.

Organizations that rely exclusively on intermediaries face greater vulnerability to new regulatory and commercial requirements.

Access to premium markets is beginning to be concentrated in companies with comprehensive supply and compliance control capabilities.

The quality of information becomes part of the export added value.

The cost of adaptation impacts on margins

The implementation of traceability systems involves relevant investments in:

  • Technology.
  • Certifications.
  • Training.
  • Documentary digitization.
  • Monitoring.
  • Audits.
  • System integration.

This process creates pressure on operational costs, especially for medium-sized producers and smaller-scale companies.

Agro-industrial profitability is beginning to depend on the ability to absorb regulatory costs without deteriorating commercial competitiveness.

The strategic challenge appears in how to transform compliance into competitive advantage.

Companies with more orderly structures, technological integration and long-term vision achieve greater capacity to adapt to the new scenario.

Latin America faces a strategic positioning opportunity

The region maintains relevant structural advantages in agro-industrial production.

Availability of natural resources, export capacity and productive scale continue to position Latin America as a central actor in global food supply.

The regulatory scenario opens a new stage where competitiveness will also be associated with transparency, validation and technological capacity.

Companies that manage to integrate traceability, trade structure and international positioning can strengthen access to higher value-added markets.

The global regulatory transformation accelerates the professionalization of the exporting agro-industry.

The trade structure gains strategic relevance

Mandatory traceability also changes the trade dynamics of the sector.

Commercial areas start to need:

  • Integration with operation.
  • Documentary validation.
  • Analytical capacity.
  • Market segmentation.
  • Certification management.
  • International regulatory reading.

Export competitiveness is increasingly dependent on coordination between production, technology and trade strategy.

Agroindustry enters a stage where the ability to demonstrate value will have a direct impact on export revenue, positioning and predictability.

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Cybersecurity and technology
Facu
22 May, 2026

Cybersecurity becomes a structural axis of digital business

The expansion of artificial intelligence, automation and connected platforms is changing the risk structure of technology companies and all digital production sectors.

Cybersecurity began to be central to strategic decisions linked to operational continuity, corporate reputation and financial predictability.

The global market is going through a stage where digitization advances on critical operations, industrial infrastructure, commercial management and supply chains. This process extends the area of exposure to computer attacks, data theft, operational interruptions and systemic vulnerabilities.

The evolution of the digital business is driving a change of criterion in directories and executive teams: computer security went from a technical function to a structural variable of the business.

Automation Expands Business Operational Risk

The accelerated incorporation of artificial intelligence and automation generated a massive expansion of connected devices, platforms and processes. This dynamic increases access points and operational complexity.

Attacks on logistics chains, financial platforms, industrial systems and SaaS companies began to show a growing economic impact on income, reputation and operational continuity.

According to recent reports from Deloitte and international agencies specialized in cybersecurity, threats related to generative IA, Ransomware and automated attacks are increasing speed and sophistication in global markets.

The situation is becoming more sensitive in Latin America, where many companies maintain fragmented technological structures, low level of integration and reactive security policies.

The exposure increases especially in companies that grew rapidly during digitization and commercial expansion processes without consolidating a robust protection and monitoring architecture.

The economic cost of a digital interruption gains scale

The growing dependence on digital platforms is raising the financial impact of any operational interruption.

A fall in infrastructure, an attack on sensitive data or a vulnerability in critical systems can simultaneously affect:

  • Facturing.
  • Logistics.
  • Customer service.
  • Corporate reputation.
  • Regulatory compliance.
  • Relationship with investors and partners.

The problem ceased to focus only on technical recovery. The current impact involves a deterioration of confidence, loss of contracts and increased operating cost.

The sectors with distributed operations and high digitization show greater sensitivity:

  • Logistics.
  • Energy.
  • Retail.
  • Financial services.
  • Cheers.
  • Industrial manufacturing.
  • Technology platforms B2B.

In these markets, operational continuity became part of the competitive positioning.

Artificial intelligence accelerates threat sophistication

The evolution of generative artificial intelligence is also changing the global cybersecurity scenario.

The new models make it possible to automate attacks, develop more precise phishing campaigns and increase the capacity to escape traditional protection systems.

In parallel, companies are using IA for predictive monitoring, early threat detection and automated vulnerability analysis.

The technological market is beginning to consolidate a new competitive career linked to self-security and real-time response capacity.

Large global technology companies are increasing investment in security infrastructure, cloud protection platforms and IA-driven defence systems. The strategic priority is focused on operational resilience and protection of critical digital assets.

Regulation begins to raise business standards

Regulatory pressure also began to intensify.

The United States, Europe and different Asian markets are making progress in regulatory frameworks linked to data protection, critical infrastructure and corporate responsibility for digital incidents.

Regulatory requirements begin to impact on:

  • Corporate reporting.
  • Technology audits.
  • Data management.
  • Operational traceability.
  • Relationship with technology providers.

This dynamic creates additional pressure on medium-sized enterprises and organizations with decentralized technological processes.

Cybersecurity is beginning to be integrated into decisions related to compliance, financing, corporate insurance and investment risk assessment.

Digital predictability becomes a competitive advantage

Technology companies and digitalization-intensive sectors face a new competitive demand: to sustain resilient and predictable operations in high digital exposure environments.

The ability to anticipate risks, monitor vulnerabilities and respond quickly to incidents begins to influence:

  • Profitability.
  • Trade stability.
  • Reputation.
  • Expansion capacity.
  • Market value.

The market begins to award organizations with integrated technological structures, clear protocols and strategic digital risk management capacity.

The evolution of the sector shows a growing convergence between technology, operational continuity and corporate strategy.

Cybersecurity is now directly associated with business sustainability and long-term competitiveness.

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Facu
18 May, 2026

Logistics automation moves towards self-contained models with operational IA

The global logistics goes through an accelerated transformation phase driven by artificial intelligence, automation and predictive analysis.

The sector incorporates systems that can make real-time operational decisions, optimize dynamically routes, anticipate interruptions and coordinate operations with less human intervention.

Technological developments have an impact on costs, speed, traceability and predictability. The result is a new competitive logic where data processing capacity begins to define operational efficiency and commercial profitability.

In Latin America, this trend gains relevance by the growth of e-commerce, pressure on margins and the need to scale operations with more efficient structures. Logistic companies face a scenario where operational automation begins to become a strategic factor to sustain competitiveness.

Artificial intelligence begins to intervene in critical operational decisions

For years, logistics digitization was focused on visibility, monitoring and administrative management. The new technology cycle advances on operational decision-making capacity.

The IA-driven platforms are already involved in:

  • Dynamic allocation of loads.
  • Automatic route optimization.
  • Delivery planning.
  • Demand prediction.
  • Inventory management.
  • Predictive maintenance.
  • Analysis of operating times.
  • Real-time detour control.

The economic impact is relevant. Companies manage to reduce unproductive kilometers, improve asset use and reduce operational errors.

According to McKinsey and Deloitte reports, advanced automation allows for reduced logistical costs and improved response times in complex supply chains. The trend is accelerating in industries with high pressure on availability and compliance.

The incorporation of operational IA also changes the competitive profile of the sector. Companies with the capacity to integrate data, automate processes and build operational intelligence gain greater capacity for expansion and scalability.

Logistics centres are moving towards autonomous operations

Automation is already central to deposits, logistics hubs and distribution centres.

Collaborative robotics, automated picking systems, internal self-contained vehicles and smart management platforms begin to integrate into large-volume operations.

Amazon, DHL, Maersk and other major global operators increased investments in automation of logistics centres to improve productivity and reduce operational dependence on repetitive tasks.

The trend is gradually moving to medium-sized enterprises through SaaS solutions, applied artificial intelligence and more accessible modular tools.

Operational change creates new priorities:

  • Technological integration between areas.
  • Total traceability of operations.
  • System interoperability.
  • Predictive analysis capacity.
  • Information processing speed.

Logistics efficiency takes on an ever-deeper technological dimension.

The pressure on margins accelerates investment in automation

The global economic context increases operational costs, wage pressure, compliance requirements and speed demand.

This combination requires logistics operators to seek structural productivity improvements.

Automation appears as an operational stabilization and margin protection tool.

In highly competitive markets, small improvements in delivery times, fleet use or storage efficiency generate direct impact on profitability.

Competitive pressure also accelerates changes in the expectations of corporate customers.

Companies demand:

  • More precision.
  • Real-time information.
  • Digital integration capacity.
  • Proper compliance.
  • Full traceability.
  • Operational adaptation capacity.

The commercial response speed begins to depend directly on the technological maturity of each operator.

Latin America faces structural challenges to scale automation

The region presents significant opportunities for the development of smart logistics, although it still faces structural constraints.

The main challenges include:

  • Low technological integration.
  • Operational fragmentation.
  • Inequitable infrastructure.
  • Manual process unit.
  • Investment difficulties.
  • Lack of specialized technical profiles.

However, different market segments show acceleration in technological adoption, especially in:

  • Retail.
  • E-commerce.
  • Agroindustry.
  • Mass consumption.
  • Last-mile operators.
  • Industrial logistics.

Brazil and Mexico lead much of the regional investments in logistics automation, driven by operational volume and growth of digital trade.

Argentina begins to record advances in traceability, applied analytical and partial automation in companies linked to distribution, warehousing and logistics for industry.

Regional developments remain central: automation is no longer an exclusively technological project and is becoming part of the business growth strategy.

Data availability becomes a competitive asset

The growth of automated operations increases the relevance of data within the logistics.

Each operational movement generates information about:

  • Times.
  • Productivity.
  • Costs.
  • Behavior of demand.
  • Route efficiency.
  • Service levels.
  • Use of assets.

Companies capable of transforming such data into operational decisions acquire concrete advantages on efficiency and predictability.

The quality of information begins to directly influence:

  • Profitability.
  • Trade speed.
  • Planning.
  • Regional expansion.
  • Customer experience.
  • Negotiating capacity.

The logistics sector is moving towards models where operational intelligence and analytical capacity are part of the competitive core.

Automation changes the commercial structure of the sector

The technological transformation also impacts on positioning and commercial strategy.

Logistic operators with higher technological capacity begin to compete for added value, traceability and integration capacity.

This change changes traditional logic based mainly on price and volume.

Companies that develop solutions with operational intelligence are able to build stronger business proposals for industries that demand predictability and control.

In parallel, automation increases the need for coordination between commercial, operational and financial areas.

Sustainable growth is increasingly dependent on:

  • Processes ordered.
  • Consistent indicators.
  • Cost-effective segmentation.
  • Technological integration.
  • Scalability.

Logistics enters a stage where operational efficiency, technology and business strategy function as interdependent variables.

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Facu
13 May, 2026

Consumer companies: the structural cost of relying exclusively on sellers

The trade structure in consumer companies is facing increasing tension.

The seller-based model as the only income-generating channel limits the ability to scale, reduces predictability and conditions profitability.

In markets where customer access changes rapidly, the exclusive dependence on sales force generates structural fragility that impacts the entire organization.

Trade unit and fragility in income generation

Many consumer companies build their sales channel on individual commercial equipment. This model concentrates income generation on the operational capacity of each seller.

The result is a highly dependent structure of personal relationships, manual management and informal monitoring of opportunities. Commercial information is fragmented and business loses traceability over its pipeline.

This dynamic has a direct impact on predictability. The company cannot project sales accurately or anticipate falling in demand. The volatility of income becomes a constant.

Impact on business predictability

Commercial predictability is built from processes, data and channel diversification.

When the income depends exclusively on sellers:

  • The pipeline is unstable.
  • The sales projection loses precision.
  • Financial planning is weakening.

Harvard Business Review reports indicate that organizations with diversified business structures achieve greater income stability and better foresight capacity.

The lack of visibility about future demand affects key decisions: production, inventory and expansion.

Limitations on commercial scalability

Seller-based growth has a clear operating limit.

Each new unit of income requires:

  • Recruitment.
  • Training.
  • Monitoring.
  • Maturation time.

This generates a direct relationship between commercial cost and growth.

Global consumer companies are migrating to models where demand generation occurs before commercial contact. Marketing, branding, digital channels and automation allow to scale without replicating sales structure in the same proportion.

Scalability is built on systems, not on individuals.

Direct impact on margin and trade efficiency

The intensive model in sellers involves increasing costs:

  • Committees.
  • hierarchical structure.
  • Operational costs.

In inflationary and price-pressure contexts, these costs directly affect the margin.

Trade efficiency becomes a critical variable.

Hybrid models that combine digital channels, distributors, e-commerce and direct sales improve productivity per seller and optimize the cost of purchasing customers.

Lack of control over the purchase experience of the customer

When the commercial link depends on the seller:

  • The customer's information is decentralized.
  • The experience is inconsistent.
  • Fidealization becomes dependent on people.

This limits the ability to build brand and positioning.

According to Deloitte, companies that centralize customer management through their own platforms and channels increase lifetime value and reduce dependence on commercial intermediation.

The company needs to control the relationship with the client as a strategic asset.

Lack of data and difficulty in making strategic decisions

Seller dependence limits data capture. Commercial interactions are not always recorded or systematized.

Sin datos, la empresa pierde capacidad de análisis sobre comportamiento del cliente, tasas de conversión y performance por canal.

La toma de decisiones se apoya en percepciones individuales y no en información estructurada. Esto afecta la planificación comercial y la asignación de recursos.

Cambios globales en la estructura comercial del sector

A nivel internacional, las empresas de consumo avanzan hacia modelos híbridos. Se combinan vendedores con canales digitales, automatización y estrategias omnicanal.

El World Economic Forum y Deloitte destacan la integración de tecnología como factor clave para mejorar eficiencia comercial y experiencia del cliente.

En América Latina, este proceso avanza con mayor velocidad en empresas que buscan reducir dependencia operativa y ganar previsibilidad en ingresos.

Estrategias comerciales que ganan relevancia

El cambio en el modelo comercial de empresas de consumo sigue una dirección clara a nivel global:

Diversificación de canales
Integración de e-commerce, distribuidores, marketplaces y canales propios.

Construcción de demanda previa
Marketing y branding como generadores de oportunidades.

Digitalización del proceso comercial
Uso de CRM, automatización y analítica para mejorar eficiencia.

Segmentación estratégica de clientes
Priorización de segmentos con mayor rentabilidad y potencial de crecimiento.

Modelo híbrido de ventas
El vendedor opera como parte de un sistema comercial más amplio.

Estas estrategias permiten desacoplar el crecimiento del tamaño del equipo comercial.

Implicancias para decisores en consumo y retail

La dependencia exclusiva de vendedores deja de ser una decisión operativa y se convierte en un problema estratégico.

Los CEOs y directores comerciales enfrentan una serie de definiciones clave:

  • Qué canales deben desarrollarse.
  • Cómo se genera demanda.
  • Qué rol cumple el equipo comercial.
  • Cómo se construye previsibilidad.
  • Qué estructura permite escalar.

El diseño del modelo comercial impacta directamente en ingresos, márgenes y valuación del negocio.

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Facu
11 May, 2026

Solar panels: what variables today define the profitability of the energy business

Solar energy consolidates its position as a structural axis of the global energy transition.

The sustained fall in technological costs, along with regulatory pressure and corporate demand for clean energy, drives its adoption in multiple productive sectors.

Market growth has a more complex dynamic. The competitiveness of the solar business depends on financial, regulatory and commercial variables that have a direct impact on project profitability.

Falling from technological costs and market expansion

The reduction in the cost of solar panels over the last decade is one of the main drivers of the sector's growth. Reports from international agencies such as the International Energy Agency (IEA) and BloombergNEF show a sustained downward trend in the cost per watt installed.

This phenomenon extends access to solar solutions in industrial, commercial and residential segments. The increase in the global scale, led by China, consolidates an abundant and competitive offer.

Economic impact:
The reduction of CAPEX improves project viability and shortens investment recovery periods.

Strategic implications:
Companies face a market with lower entry barriers and greater price competition.

Regulatory volatility and pressure on business models

The regulatory environment plays a decisive role in the profitability of the sector. Changes in subsidy schemes, network injection rates and tax frameworks directly affect the income flow of solar projects.

In Latin America, regulatory heterogeneity generates different scenarios between countries. Markets such as Brazil and Chile advance in more stable frameworks, while others present policy uncertainty.

Economic impact:
The predictability of income flow becomes a critical variable for the financial structure of projects.

Common error:
To underestimate the regulatory risk in the investment assessment.

Strategic implications:
Companies prioritize markets with regulatory stability and design stronger contractual structures.

The role of financing in solar expansion

Access to finance defines the scale of growth in the sector. The participation of multilateral banks, investment funds and green financing mechanisms promotes the development of large-scale projects.

The cost of capital becomes a central variable. High interest rates impact profitability, especially in emerging economies.

Economic impact:
Financing conditions the viability of projects and defines the speed of expansion of the sector.

Strategic implications:
Companies seek more efficient financial structures and partnerships with institutional actors.

Storage integration and intermittent management

The incorporation of energy storage systems strengthens the solar energy value proposal. The batteries allow to manage intermittent and improve supply stability.

Technology development in storage is progressing rapidly, with cost reduction and efficiency improvements.

Economic impact:
The combination of solar generation with storage increases the value of the energy produced.

Strategic implications:
Hybrid projects gain relevance in energy-intensive industrial sectors.

Corporate self-consumption as a growth engine

Industrial and commercial companies adopt distributed generation solutions to optimize costs and reduce exposure to price variations.

Self-consumption is consolidated as an active energy strategy, aligned with sustainability and operational efficiency objectives.

Economic impact:
Reducing energy cost improves operational margins in consumer-intensive sectors.

Strategic implications:
Energy is integrated as a key variable in business competitiveness.

Increasing competition and the need for differentiation

The growth of the sector attracts new players, from developers to technological integrators. Competition intensifies and pressures margins.

The differentiation is built on technical capabilities, financing, operational efficiency and proposal of integral value.

Economic impact:
Competitive pressure reduces margins in standardized projects.

Common error:
To compete exclusively in price without developing strategic capacities.

Strategic implications:
Companies must define clear positioning and develop sustainable competitive advantages.

Strategic perspective for the sector

The solar panel market has a sustained growth trajectory with increasing complexity. Profitability depends on the ability to manage critical variables such as regulation, financing, technology and business model.

Companies operating in this sector are facing a scenario that requires strategic decisions in the medium and long term. Vertical integration, development of hybrid solutions and expansion to new demand segments appear as relevant lines of action.

Solar energy is placed as a structural component in the global energy matrix and in the operational strategy of companies.

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6 May, 2026

Wholesale channel reconfiguration: the new competitive axis of the B2B retail

The dynamics of the wholesale channel in the consumer and retail sector it goes through a structural transformation phase driven by changes in demand, pressure on margins and technological acceleration.

Manufacturers, distributors and retailers are adjusting their business models to sustain competitiveness in a more fragmented and demanding environment.

The wholesale channel, historically focused on volume and territorial coverage, incorporates new strategic variables: logistics efficiency, commercial intelligence and digital integration capacity. This process impacts especially on emerging markets, where the traditional channel maintains high participation, but faces increasing sophistication.

Digitization of the channel and commercial traceability

The adoption of digital platforms in wholesale management is progressing rapidly. e-commerce B2B tools, order management systems and analytical solutions allow to optimize the relationship between manufacturers and commercial customers.

Reports from McKinsey and Deloitte highlight that wholesalers who integrate digital channels increase the frequency of purchase and improve demand visibility. This capacity allows to adjust assortment, prices and promotions more precisely.

Commercial traceability becomes a strategic asset. Access to real-time data on rotation, inventories and purchasing behaviour allows for more agile and aligned decisions with final demand.

Fragmentation of demand and new customer formats

The wholesale channel serves an increasingly diverse customer base: small independent shops, regional chains, specialized shops and digital platforms. Each segment presents specific needs in terms of assortment, funding and logistics.

The growth of proximity trade and the advancement of ecommerce lead to a greater atomization of demand. This phenomenon requires more flexible care models, with adapted delivery schemes and segmented portfolio.

Companies that manage to structure proposals differentiated by type of customer capture greater participation and strengthen their positioning on the channel.

Pressure on margins and operational efficiency

The inflationary context, together with the increase in logistical and financial costs, directly affects the profitability of the wholesale channel. Operational efficiency takes on a central role in business sustainability.

The optimization of routes, the automation of distribution centres and the intelligent management of inventories are strategic priorities. According to Statista's data, logistical costs represent an increasing proportion of the channel structure, which requires redesign of processes.

The use of technology to anticipate demand and reduce stock failures can improve margins and increase rotation.

omnicanal integration and change in trade

The wholesale channel is gradually integrated into omnicanal strategies. Manufacturers and distributors coordinate operations with direct channels, markets and modern retail.

This process modifies the traditional relationship based on intermediation. The interaction between actors becomes more direct, with greater exchange of information and trade coordination.

The ability to offer consistent experiences between channels becomes a competitive differential, especially in high-rotation categories.

Consolidation and new actors in the chain

The sector shows a trend towards consolidation, with mergers and acquisitions aimed at gaining scale and efficiency. At the same time, new digital players emerge that operate as intermediaries with more agile models.

Digital B2B platforms, commercial credit-oriented fintechs and specialized logistics operators expand the wholesale channel ecosystem. This diversification increases competition and accelerates innovation.

Strategic perspective: implications for enterprises in the sector

The reconfiguration of the wholesale channel sets new rules of competition. The ability to integrate technology, manage data and adapt the commercial proposal defines the positioning of the actors.

Companies that invest in channel digitization strengthen their link with customers and improve their capacity to respond to changes in demand. Customer segmentation and the customization of offers are consolidated as key practices.

Operational efficiency directly affects profitability. Logistic optimization and intelligent inventory management can sustain margins in volatile contexts.

The development of strategic partnerships with technological and logistical actors expands capacities and accelerates transformation processes.

The evolution of the wholesale channel in Latin America presents relevant opportunities for companies that manage to anticipate global trends and adapt them to local dynamics.

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4 May, 2026

Monetization of short content: the new axis of the economy of creators in media and entertainment

The growth of short content consolidates a structural change in the media and entertainment industry.

Platforms such as TikTok, Instagram with Reels and YouTube with Shorts concentrate a growing portion of global digital consumption, driven by algorithms that prioritize speed, customization and retention.

Recent reports from firms such as McKinsey and Deloitte point out that short-format content already represents one of the main entry points to the digital ecosystem, especially in audiences under 35 years of age. This dynamic creates direct pressure on traditional monetization models and requires redefining the revenue logic for creators, brands and platforms.

The evolution of monetization models

The short content has a key particularity: its high range capacity meets a lower depth of engagement per piece. This factor conditions the income structure.

The platforms advance in multiple simultaneous lines:

  • Creative funds: direct incentives based on visualizations and engagement.
  • Revenue sharing advertising: models that distribute revenue by ads inserted in the content.
  • Indirect monetization: agreements with brands, affiliation and integrated e-commerce.
  • Subscriptions and membranes: formats that migrate from free content to closed communities.

Meta Platforms and Google intensify investment in income-sharing schemes to retain talent against TikTok's sustained growth.

The result is a hybrid ecosystem where direct monetization by platform lives with external income, consolidating a diversified model for the most professional creators.

Platforms as economic infrastructure

The platforms stop operating only as distribution channels. They function as complete economic infrastructures that define rules, algorithms and monetization conditions.

This change has three structural effects:

  1. Concentration of power in the algorithmic design.
  2. The creative unit for platform policies.
  3. High volatility in individual income.

The algorithm becomes the main determinant of visibility and, by extension, of income. The capacity to adapt to formats, trends and timing acquires a strategic value equivalent to the content itself.

Professionalization of the economy of creators

The creative economy is evolving towards a business model. The creators operate as business units with structures that include production, data analysis, commercial management and brand development.

Harvard Business Review studies highlight that the most growing creators combine three variables:

  • Consistency in publication.
  • Diversification of income.
  • Construction of personal brand.

The short content acts as an audience acquisition channel. Effective monetization is consolidated into additional layers such as digital products, services, events and trade agreements.

Advertising and brands: from awareness to conversion

The brands increase investment in short content as a performance channel. Integration with creators allows campaigns with greater authenticity and segmentation.

The branded content evolves into more organic formats, where the creator's narrative has greater weight than the traditional advertising message. This dynamic metric conversion improvement and reduces acquisition costs compared to traditional formats.

Companies of mass consumption, retail and technology lead this trend, integrating creators into their digital marketing strategies.

Model risks and tensions

The accelerated growth of the creative economy also poses structural risks:

  • Satin of content and fall of organic reach.
  • Unit of platforms with changing rules.
  • Pressure on the sustainability of individual income.
  • Fragmentation of hearings.

The market is moving towards a more competitive logic where differentiation becomes critical. The narrative quality, niche positioning and capacity to build community define sustainability over time.

Strategic perspective for industry enterprises

The short content is positioned as a central asset in the media and entertainment strategy. Companies operating in this sector face an environment where production speed and adaptability determine competitiveness.

Clear opportunities are identified:

  • Development of internal content creation units.
  • Structured alliances with creators.
  • Integration of e-commerce into content.
  • Use of data for performance optimization.

The convergence between media, technology and digital commerce generates a new competitive map where the limits between producer, distributor and commercial channel are diluted.

Companies that structure hybrid monetization models and develop their own content capacities can capture more value in this environment.

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