Nvidia Sees Rising AI Investment and Training in Mexico

Mexico is entering the early phase of Artificial Intelligence (AI) adoption, according to Marcio Aguiar, Director of Enterprise, Nvidia in Latin America. Aguiar described the country as "waking up" to the AI era and beginning to take steps to close the gap with global leaders such as the United States and China.

Ahead of the México IA+ Inversión Acelerada event, Aguiar said Mexico’s AI ecosystem has shown growing momentum in recent months, marked by increased investment, training programs, and interest from startups, researchers, and multinational companies exploring new business opportunities.

Aguiar explained that Nvidia’s visibility in the AI landscape rose with the recent boom in generative AI, but the company’s transformation began long before. Since 2010, Nvidia has expanded into the enterprise market through software innovation and advanced hardware design. Public awareness spiked in 2022 when OpenAI revealed that it trained its model using Nvidia’s Graphics Processing Units (GPUs).

Today, Nvidia defines itself primarily as an AI infrastructure company. “We are no longer just a chip manufacturer — we provide the full infrastructure and every component needed for a company to build its own data center,” Aguiar said.

Nvidia collaborates with major data centers worldwide but focuses on enabling partners to develop and manage their own facilities. Its strategy combines hardware and software solutions that empower corporations to build products and services on top of that foundation, in a market that Aguiar described as growing “exponentially.”

Closing the Talent Gap

Aguiar rejected the notion of an “AI bubble,” arguing that the term stems from a misunderstanding of the current phase of technological change. He drew a distinction between AI as a long-established field and the rapid emergence of generative AI, which can transform any dataset into new data and expand use cases across industries.

Still, he acknowledged a significant talent gap. “Demand far exceeds the number of trained professionals,” he said, noting that Nvidia collaborates with universities to strengthen academic programs and prepare future AI engineers and scientists.

Aguiar advised organizations in Mexico to “think big but start small” when adopting AI. He recommended identifying key business processes for automation rather than launching large-scale projects, emphasizing that each company should focus on its own operational needs rather than replicating competitors.

Mexico’s challenge, he said, is to turn its current “awakening” into sustained progress through investment, education, and well-defined projects. The next phase of regional AI adoption, he added, will be led by companies that build or partner for the necessary infrastructure and use accelerated computing to develop tailored business solutions.