Artificial intelligence is automating professional tasks in Mexico City and other global regions to reduce operational costs and increase efficiency [1].
This shift matters because the displacement of routine functions forces workers to acquire new digital competencies to remain employable. As AI integrates into the workforce, the boundary between human labor and machine automation is blurring across both public and private sectors.
In Mexico City, AI tools are increasingly used for writing, accounting, and data analysis [1]. Organizations are adopting these technologies to streamline operations, though this transition often replaces specific human functions [1]. The impact is visible in diverse environments, from public administrations in the Canary Islands to small and medium-sized enterprises in Argentina [2, 3].
Some projections suggest a significant disruption to the labor market. According to Yahoo! Noticias (es-us), 10 professions are expected to disappear before 2030 due to the influence of artificial intelligence [4]. This prediction contrasts with perspectives from Cronista.com, which suggests AI serves as a tool for small businesses to make better decisions rather than simply replacing staff [5].
Large-scale corporations are already implementing these tools at pace. Amazon currently utilizes AI in six different ways across its global operations [6]. However, the rapid rollout of technology may lack necessary structural support. Editorial staff at eldiario.es said, "La inteligencia artificial pública necesita personas, procesos claros y objetivos compartidos antes que nuevas herramientas" [2].
For workers in the public sector, the transition requires more than just software. The integration of AI depends on clear processes and shared goals to ensure that the tools serve the public interest [2]. Meanwhile, the private sector continues to prioritize the reduction of costs through automation [1].
“10 professions are expected to disappear before 2030 due to the influence of artificial intelligence.”
The integration of AI into the professional landscape represents a shift from experimental use to operational necessity. While corporations like Amazon demonstrate the scale of AI utility, the friction between rapid deployment and the need for human-centric processes suggests a looming skills gap. The divergence in outlook—between the total disappearance of certain roles and the augmentation of decision-making—indicates that the actual impact of AI will depend on whether organizations prioritize workforce upskilling or immediate cost reduction.
