Smart Manufacturing, AI Automation Gain Ground in Mexico

Cognizant is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. 

Q: How is Cognizant currently positioning in the Mexican and Central American markets?

A: Our journey in Latin America began 19 years ago to support the evolving needs of our international clients. We have operated in Mexico for 18 years, strategically pivoting between nearshore delivery and serving the local market. This commitment is evidenced by our hiring trends; despite AI-driven efficiencies, we expect to exceed 20,000 hires globally this fiscal year. In Mexico, we are positioning the country as a technological powerhouse within Latin America, focusing on scaling digital consumption, payment gateways, and sophisticated service delivery to meet modern market demands.

Q: What is Cognizant’s unique value proposition for competing against traditional IT service providers in Mexico?

A: Our primary differentiator lies in our internal culture of technological fluency, exemplified by our "Vibe Coding" initiative. This program, which earned a Guinness World Record, involved over 53,000 associates across 40 countries globally, including those from non-technical backgrounds like finance and human resources, learning to build their own agentic systems. 

In the Mexican market, we are translating this expertise into high-impact industrial solutions, particularly in Monterrey where we help manufacturers modernize supply chain management and transition toward smart manufacturing implementation. We have demonstrated the ability to achieve 30% gains in operational efficiency within six months of implementation. 

Furthermore, we are pioneering "smart manufacturing" floors and self-autonomous robots to bring international standards to local facilities. With 22% of our local code in Mexico now written by agents, we offer the technical sophistication and speed that allows our clients to move from a "wait and see" approach to active market leadership.

Q: What role do Mexico and Central America play in the company’s global delivery network?

A: Historically, Mexico and Central America were valued primarily for time zone alignment, providing a cost-neutral alternative to traditional offshore locations. However, the model has evolved from a binary onshore-offshore structure to a more sophisticated "onshore, nearshore, and offshore" strategy. Proximity and cultural affinity are now essential for reducing time to market. While nearshore services remain a significant part of our regional activity, we are expanding into Global Capability Centers (GCCs) while also strengthening our Industry Solutions Group (ISG), which drives innovation at the intersection of industry, product, and platform. Together, these efforts support our ambition to grow our local client share to 45% by 2030.  

Q: Cognizant recently made aggressive capital moves, including the acquisition of Astreya for US$600 million and Belcan for US$1.3 billion. How do these global investments translate into tangible benefits for clients in the Latin American market?

A: The integration of Belcan, for example, brings specialized capabilities in aerospace and defense market to Mexico. We also support major global entities in aerospace manufacturing from Queretaro, performing high-level Engineering Research & Development (ER&D) services. Similarly, the acquisition of Astreya strengthens our data center management capabilities, specializing in AI infrastructure, data center operations, and digital workplace services.

Cognizant’s 18 years of presence & current footprint in Mexico allows us to offer end-to-end software capabilities, consulting — from modernizing point-of-sale systems to redesigning supply chains — backed by a US $1 billion global investment in AI technology and training.

The tangible benefit for Latin American clients is the localization of high-end technical services that were previously only available in the European Union or the United States. In Toluca and Mexico City, we utilize these expanded capabilities to run Internet of Things (IoT) engineering programs for major vehicle manufacturers, conducting Hardware-in-the-Loop (HIL) testing for systems involving over 10,000 sensors. Furthermore, we are reinvesting this global capital into the local ecosystem by pledging to train 1,000 people in Mexico through a National Skill Accelerator program. 

Q: Considering the acquisition of Astreya and the strengthening of its AI infrastructure capabilities, what are enterprise customers demanding in areas such as data center capacity, AI workload management, and operational continuity?

A: Enterprise customers are increasingly seeking consultants who can help them navigate the transition from viewing AI as a simple cost-saving tool to leveraging it as a driver of organizational efficiency. There is a high demand for Large Language Model (LLM) training that incorporates specific business contexts. For example, we partnered with Anthropic Claude to develop an Emotional Intelligence model for a Mexican client that handles 60% of human resources queries related to ethics and compliance, with the goal of reaching 95% automation. Customers want comprehensive solutions that integrate local cloud players and subject matter experts to ensure operational continuity.

Q: How does Cognizant balance the demand for more automation with the need to reduce costs and streamline operational structures?

A: We observe three distinct categories of adoption: early adopters, wait-and-watch observers, and late adopters. Large conglomerates with significant capital are investing heavily to modernize their infrastructure and build proprietary models, gaining a significant competitive advantage despite higher initial costs. In contrast, those waiting for AI prices to drop may save on initial expenditures but risk falling behind in the value chain. We interpret this moment as a necessary evolution where traditional labor-intensive models are being replaced by high-value, automated structures that require a more sophisticated skill set.

To mitigate potential deflationary effects on the labor force, we are actively participating in national upskilling initiatives. Our strategy involves training the general public and our own associates to move higher up the value chain. As automation reduces the cost of basic tasks, the market demand shifts toward professionals who can govern these systems and integrate them into complex business strategies.

Q: What mistakes are companies making by accelerating the adoption of Agentic and Generative AI without a sufficiently mature control strategy?

A: The most common mistake is failing to implement an independent governance framework that operates outside the standard delivery hierarchy. At Cognizant, we address this through our Delivery Excellence (DX) group, which ensures that every AI-driven deliverable meets contractual, ethical, and security standards. Right now, there's limited amount of professionals that hold the top-tier AI governance certifications required to manage complex issues like algorithmic bias and data plagiarism. We are actively certifying our leadership in Mexico to ensure that as we automate 22% of code for banking clients or deploy humanoid robots in manufacturing, we maintain strict adherence to multi-cultural ethics and regulatory compliance.

Q: In a context where AI is redefining entire operating models, what capabilities do you believe Latin American companies will need to develop over the next three years to remain competitive on a global scale?

A: First, there is a critical need for robust infrastructure through public-private partnerships. The sheer volume of data generated by advanced AI engagements often exceeds local processing capacities, forcing companies to ship hardware to the United States for processing. To remain competitive, Mexico must evolve its hardware and logistical landscape to support enterprise-level AI workloads locally.

Second, the region must address the talent gap created by the language barrier in technology. Most AI developments are released in English and take six to 12 months to be translated into Spanish. Latin American companies need to develop mechanisms to shorten this timeframe and provide systematic, incentive-based training in "prompt engineering" and AI ethics. We are already partnering with institutions like the Universidad de Guadalajara to teach these skills at the high school and university levels to ensure the next generation is prepared for the rapid pace of innovation.

Third, the integration of English as a medium in public universities is essential for global competitiveness. While Spanish is vital for local business, the global technological ecosystem operates in English. Providing public university graduates with even foundational English proficiency (E0 or E1 levels) would exponentially increase their learning potential as it relates to AI.

Q: What are Cognizant’s strategic priorities in Mexico and Central America in terms of expansion, business verticals, and strengthening local technology ecosystems?

A: Our priority is to maintain our momentum in digital engineering, particularly in specialized sectors like aerospace and maritime technology, where we deploy Mexican talent globally to manage independent networks on cruise ships and aircraft. We have grown by 30% over the last two years, and our "Vision 2030" includes reaching a 5,000-person headcount in Mexico. In Central America, we are focusing on Costa Rica as a primary IT hub, where we have already grown to 900 associates. We are also launching pilot programs in Guatemala and Panama to support local enterprises. Our goal is to be the key contributor to the AI evolution in the region, proving that Mexico and Central America can deliver industry-best executions on a global scale.