Overview
- Business advisors in Mexico report early AI deployments underperformed, urging companies to rebuild end‑to‑end workflows around reliable, continuously maintained data rather than dropping tools into legacy processes.
- Firms are rolling back full automation in some customer touchpoints after satisfaction fell when call centers removed human agents, prompting hybrid models that pair generative tools with staff.
- Universities are pressed to update rules and require disclosure of AI use in theses and coursework, with warnings that future retrospective checks could trigger retractions or annulments.
- Civil engineering leaders highlight gains from integrating AI with BIM and simulation to optimize designs and monitor works, stressing that outcomes depend on high‑quality training data and practitioner oversight.
- Regional voices say displacement is not imminent as systems still rely on human input, with Mexico exploring a Spanish model that reflects local languages for data sovereignty, while psychologists predict society adapts within a decade and call for clearer safeguards.