As the FIFA World Cup 2026 officially commences, the global spotlight shines not only on the athletes on the pitch but also on the massive digital infrastructure supporting the world’s most-watched sporting event. Behind the seamless streaming, real-time updates, and complex logistical operations stands Globant, the digital transformation giant tasked with managing the user experience for a global audience numbering in the billions. Through a multi-year partnership with FIFA, Globant has overhauled the organization’s digital ecosystem, focusing on a robust technology stack designed to withstand the unprecedented pressures of a 48-team tournament hosted across three nations: the United States, Canada, and Mexico.
The scale of the 2026 tournament represents a significant departure from previous iterations. With the expansion from 32 to 48 teams and an increase to 104 matches, the digital demand is expected to shatter all previous records. To meet this challenge, Globant has spent the years leading up to the kickoff refining the FIFA+ streaming platform and the official mobile application. These enhancements were recently showcased at Globant’s NXT conference, where technical leads provided an in-depth look at the architectural innovations required to manage what they describe as a "vertical cliff" of user demand.
Engineering for the Vertical Cliff of Global Demand
The primary technical hurdle for any global live event is the management of concurrent users. Unlike traditional Video on Demand (VOD) services, such as Netflix or Disney+, which experience relatively smooth and predictable consumption curves, a World Cup match creates an instantaneous surge in traffic. Matteo Freddi, Technical Director at Globant, noted that his extensive background in high-scale distributed systems had to be entirely reconsidered for this project.
In a traditional cloud environment, autoscaling is the standard response to increased traffic. However, Freddi explained that the speed at which fans connect to a World Cup stream renders standard autoscaling obsolete. When a match begins or a goal is scored, millions of devices attempt to connect simultaneously. This creates a "vertical cliff" where demand spikes faster than cloud providers can provision new resources. If the system relies on reactive scaling, the initial requests fail, leading to a "death spiral" where users repeatedly refresh their apps, further overwhelming the remaining infrastructure.
To combat this, Globant implemented a strategy of predictive engineering and pre-scaling. By utilizing a dedicated performance task force, the team developed a mathematical simulator to map potential navigation paths—ranging from free content and search queries to high-stakes pay-per-view transactions. These simulations allowed the team to define specific load test scenarios, which were then executed using AWS Distributed Load Testing. Consequently, rather than waiting for traffic to arrive, Globant’s infrastructure—including Kubernetes pods and dataset clusters—is pre-scaled to maximum forecast capacity based on marketing data, geographic usage patterns, and the popularity of the competing teams well before the opening whistle.
A Chronology of Digital Transformation: 2022 to 2026
The journey toward the 2026 kickoff began shortly after the conclusion of the 2022 World Cup in Qatar. FIFA recognized that to maintain engagement in an increasingly fragmented media landscape, it needed a unified identity model and a more personalized user experience. Globant was brought on board to modernize the technology stack and integrate advanced security features.
In 2023, the focus shifted to the FIFA mobile application, which serves as the primary touchpoint for fans attending matches in person and those following from home. Technical Lead Manager Alejandro Vallejo emphasized the necessity of updating the User Interface (UI) technology to support localized and personalized content. A cornerstone of this update was the creation of a sophisticated identity model. This system allows fans to engage securely with the platform using biometric authentication, ensuring that ticketing and personal data remain protected across different jurisdictions and privacy regulations, including the General Data Protection Regulation (Regulation (EU) 2016/679).
By 2024 and 2025, the development focus moved toward internal efficiencies and the integration of Artificial Intelligence. One of the most significant logistical challenges FIFA faced was the manual accreditation of thousands of journalists, photographers, and broadcasters. This process traditionally required a massive human workforce to verify biographies, social media presence, and previous work history.
Automating Press Logistics via Agentic AI Frameworks
The sheer volume of media personnel attending a North American World Cup necessitated an automated solution for accreditation. Globant turned to "agentic AI"—a framework where multiple AI agents work in concert to perform complex reasoning tasks. Software architect Andrey Babitsyn was tasked with building this capability, discovering through the development process that traditional single-prompt Large Language Models (LLMs) were insufficient for the task.
Initial attempts at using a single AI agent resulted in "hallucinations," where the model would invent press articles or credentials that did not exist. Babitsyn identified that this was not a failure of the prompt itself, but a systemic issue caused by chaotic context. When an LLM is asked to perform too many tasks at once—such as searching the web, validating a bio, and checking social media—the accuracy of the output degrades.
The solution was the creation of a specialized multi-agent system. Each agent within the framework is assigned a singular, focused task with a specific prompt. For example, one agent might only be responsible for verifying a journalist’s social media handle, while another focuses solely on checking the validity of their previous publications. These agents sit behind activity functions, separating the orchestration of the workflow from the reasoning of the AI.
This modular approach has several benefits. It allows for easier debugging, as failures can be traced to a specific agent without compromising the entire system. Furthermore, it allows for "non-deterministic" management. Since search results are not always stable, the system includes a scoring layer with a temperature value to manage different search strategies. Crucially, the system is programmed with the "right to say ‘I don’t know.’" If the data regarding a journalist is weak or contradictory, the AI stops the process and flags the application for human review rather than making an uneducated guess.
Supporting Data and Technical Architecture
The underlying architecture supporting the FIFA World Cup 2026 is built on several key technological pillars:
- AWS Distributed Load Testing: Used to simulate millions of concurrent users across different global regions to ensure the platform can handle the "vertical cliff" of demand.
- Kubernetes Orchestration: Enables the rapid deployment and management of containerized applications, allowing for the pre-scaling of services before high-traffic events.
- Durable Functions: Used in the AI accreditation process to maintain state and manage long-running workflows across multiple AI agents.
- Biometric Identity Models: Integrated into the mobile app to streamline user logins and enhance security for digital ticketing.
- Context Engineering: A shift from simple prompt engineering to a more holistic approach that manages the data pipeline and environmental context of AI models.
Lead data scientist Shalini Ravi noted that while prompt engineering is the starting point, "context engineering" is what allows a system to reach production-grade reliability. By treating agentic AI as a pipeline rather than a single model, Globant has been able to produce consistent, verifiable results across a variety of complex tasks.
Broader Impact and Industry Implications
The technological innovations deployed by Globant for the 2026 World Cup have implications far beyond the realm of sports. The move toward agentic AI and predictive engineering represents a shift in how large enterprises handle massive, unpredictable data loads. As more industries move toward real-time engagement—ranging from financial services to emergency response—the lessons learned from managing the "vertical cliff" of the World Cup will likely become a blueprint for high-scale system design.
Furthermore, the automation of complex administrative tasks, such as journalist accreditation, demonstrates the potential for AI to handle high-stakes regulatory and compliance work. By building systems that prioritize reliability and acknowledge the limitations of data, Globant is setting a standard for the ethical and practical application of AI in the public sphere.
As the tournament progresses over the coming weeks, the success of these systems will be measured by their invisibility. In the world of high-stakes sports technology, the ultimate goal is for the infrastructure to be so seamless that the billions of fans watching across the globe never have to think about the Kubernetes pods, AWS clusters, or AI agents working behind the scenes. If the technology performs as expected, the focus remains where it belongs: on the game itself. However, the work done by Globant ensures that regardless of what happens on the pitch, the digital gateway to the World Cup remains open, secure, and resilient against the greatest surge of demand in the history of digital media.
