ULA brings Gemini for Education into its classrooms: the university AI bet hinges on literacy, not software

By Zendoric · October 10, 2026. Universidad Latinoamericana (ULA), with campuses in Mexico City, the State of Mexico and Morelos, has announced the incorporation of Gemini for Education —Google's generative artificial intelligence tool designed for educational settings— into its learning, research and creation processes. The initiative stems from a collaboration between Google and Lottus Education, the group ULA belongs to, and arrives with a figure the university itself highlights: more than 80% of its faculty already has training in technology and artificial intelligence, according to institutional data.

Gemini for Education allows students to ask for explanations and examples, generate reinforcement exercises adapted to their own pace, and lean on AI to do research: formulating hypotheses, organizing information and structuring projects. For teachers, it offers help in adapting materials and designing activities and assessments, with the stated aim of freeing up time for direct support of students. ULA adds to this a component of "artificial intelligence literacy": teaching students to formulate better questions, to question the model's answers and to recognize its limits, rather than to use it uncritically. "At ULA we are convinced that artificial intelligence should enhance the capabilities of students, teachers and administrative staff, with collaborative environments in which learning in and with AI is integrated into everyday life," said rector Rolando Bernal.

In general, deals of this kind have become routine: Google, Microsoft and OpenAI are competing to embed their assistants in universities around the world, from Google's Workspace for Education to OpenAI's ChatGPT Edu, because whoever builds the usage habit during the university years keeps a good share of that professional market a decade later. This is not technological philanthropy: it is a race for the entry point to the next generation of professionals.

That said, the announcement should be read with the usual caveats that apply to any institutional release: the 80% of "trained" teachers is a figure self-reported by the university itself, with no methodology or external verification, and the statement offers no data on learning outcomes, only on intentions and available tools. It is also worth noting a transparency detail: El Economista —the outlet publishing this piece— belongs to Nacer Global, the same group headed by Jorge Nacer Gobera, who appears in the article itself promoting similar educational initiatives. It does not invalidate the story, but it is worth knowing when weighing how much of this kind of piece is information and how much is public relations.

The underlying idea —that AI should expand what teachers do, not replace them— connects with something we have already seen in our sector-by-sector review of AI's impact on employment: in education, the one who comes out stronger is the teacher who learns to orchestrate these tools as an augmented tutor, and the one who loses ground is the teacher who merely transmits content that a model generates just as well. The article states this explicitly by keeping "academic guidance and interaction with teachers" at the core of the university experience; the real challenge is not declaring it, but sustaining it when the pressure for efficiency bites. If the AI literacy it promises genuinely translates into students who know when to distrust a generated answer, deployments like this are a modest but real preview of where our underlying thesis points: personalized education tailored to each student, once reserved for those who could afford a private tutor, now available at scale. The short term will continue to be one of trials, press releases and figures that are hard to verify; the long term, if done well, is what really matters.