UNESCO IESALC: university AI use exceeds formal strategy adoption

A regional institutional survey announced in September

UNESCO IESALC’s report announcement is dated 8 September 2026, according to UNESCO IESALC. Its subject is the implementation of AI in higher education in Latin America and the Caribbean. The useful comparison for university leaders concerns what institutions put around adoption: a strategy, staff preparation and resources for the work they expect people to do.

The study presents findings from 200 higher education institutions across 19 countries in the region, according to UNESCO IESALC. Institutions are the unit described in this sample. The results should not be presented as percentages of students, individual academics or universities in a different region.

The study says 87% of participating institutions used AI in at least one area of activity, according to UNESCO IESALC. Only 26% had a formal AI strategy, according to UNESCO IESALC. The contrast is about reported use and a formal institutional approach. It does not establish that every use without a formal strategy was ineffective, or that a strategy itself guaranteed successful learning.

Teaching, research, training and budgets have different denominators

UDLA’s account of the report says 74% of surveyed institutions used AI in teaching and learning, according to Universidad de Las Américas (UDLA). The same account reports use in research at 57%, according to Universidad de Las Américas (UDLA). These findings describe areas of institutional activity. They are not measurements of the quality of teaching or of research results.

Among public universities using AI in teaching, 17 per cent had no academic staff training, according to Times Higher Education. The subgroup is essential: the finding is not a statement about every surveyed institution. It identifies a reported training condition within public universities already using AI in that particular activity.

The survey found that 55 per cent of universities had no specific AI budget, according to Times Higher Education. This is a finding about a designated budget, not evidence that the same institutions had no resources of any kind. A reader should avoid attaching a broader financial conclusion to a narrower survey response.

UDLA’s account and the Times Higher Education coverage discuss the report rather than provide separate measurements of learning gains. Taken together, the findings offer questions about institutional capacity, staff development and evaluation. They do not demonstrate what students learned, establish causal effects of AI adoption or describe the readiness of Algerian higher education.

Assess the evidence before adopting it

For a prospective Algerian user, the first useful step is to define the decision this evidence could support. A training provider might want to revise an exercise; an employer might want to assess a particular task; an education team might want to examine supervision. These are proposed uses of the information, not findings about Algeria. Begin with the actual work and identify what a successful learner would have to demonstrate. That makes it possible to ask focused questions without treating an international announcement or survey as a local needs assessment.

Next, distinguish access, participation, confidence and demonstrated capability in the evaluation plan. A person can describe an intention without having carried it out, and an organization can announce a provision without establishing its effects. Ask what evidence would justify the next decision: a reviewed work sample, an observed task, or a documented explanation of a choice. These are suggested assessment methods rather than reported results. They give a local team a way to test relevance while keeping the published findings within their original boundaries.

Before committing resources, record what remains unknown for the intended setting. Consider the language of instruction, the tools an exercise would require, the time available to participants and who would review the work. None of those local conditions is established by the evidence presented here. A small, clearly defined evaluation could help an organization answer its own questions; it should have an explicit learning objective and a review point. Expansion should depend on what that evaluation shows, rather than on the prominence of the publisher or the size of a headline percentage.

Finally, keep the source of each conclusion visible when sharing the findings internally. Label the published evidence separately from the team’s proposed response, and state which population or product the evidence concerns. If a decision requires a local baseline, collect that baseline instead of borrowing an overseas percentage. This discipline does not require dismissing the announcement or survey. It means using it to formulate a question that can be answered in the intended workplace or classroom, with responsibility for interpreting the answer assigned before any broader adoption.

A comparison for university teams in Algeria

An Algerian university team could use the regional findings to structure an internal discussion about objectives, training and assessment. It should keep the comparison honest: the evidence concerns participating institutions in Latin America and the Caribbean, not an Algerian baseline. A proposed review could distinguish where AI is used, what support staff receive and how the institution would evaluate the activity. Those are practical questions suggested by the study, not claims that local conditions match its findings. The useful lesson is to ask what accompanies adoption and what evidence would justify a decision, without treating institutional use as proof of student learning.

Frequently Asked Questions

Sources & Further Reading

• UNESCO IESALC — Regional report announcement and institutional findings
• Universidad de Las Américas (UDLA) — Teaching and research use
• Times Higher Education — Staff training and AI budgets
• IA en la universidad latinoamericana — Observatorio de Inteligencia Artificial, Universidad del Aconcagua