Equal opportunity promoters

Promotores de igualdad de oportunidades entre mujeres y hombres

4.0
AI exposure: Moderate
4 / 10
Theoretical estimate — not a prediction
Employees
2K
Average salary
29,919 €
Exposed wage index
29M €
employment × salary × score
Score sub-components
D
Displacement potential 6
C
Current AI capability 6.5
F
Physical barrier 4.5
R
Regulatory friction 4.8
Formula: (D*C/10)*(1-F/20)*(1-R/20) Rescored: 5 → 4
Automation vector
These promoters design and implement equality actions in local settings, drawing on social communication and training. AI assists by generating awareness-raising materials and analysing demographic data to identify structural inequalities quickly. The promoter's success depends on social mobilisation, the delivery of in-person workshops, and local political advocacy, tasks that are intrinsically human and relational.
Automation vector (Spanish)
Estos promotores diseñan e implementan acciones de igualdad en entornos locales, basándose en la comunicación social y la formación. La IA asiste generando materiales de sensibilización y analizando datos demográficos para identificar desigualdades estructurales de forma rápida. El éxito del promotor depende de la movilización social, la realización de talleres presenciales y la incidencia política local, tareas que son intrínsecamente humanas y relacionales.
Hybrid EU AI Act: Minimal risk Employment confidence: A
→ Open in the interactive dashboard
Source: LFS Q4 2025, INE Census 2021, SEPE 2024 · Methodology v30 · CC BY 4.0 · Authors: Álvaro de Nicolás, Miguel Sureda