Mining, metallurgical and related engineers

Ingenieros de minas, metalúrgicos y afines

4.0
AI exposure: Moderate
4 / 10
Theoretical estimate — not a prediction
Employees
3K
Average salary
36,915 €
Exposed wage index
48M €
employment × salary × score
Score sub-components
D
Displacement potential 6.2
C
Current AI capability 6.2
F
Physical barrier 7
R
Regulatory friction 5.2
Formula: (D*C/10)*(1-F/20)*(1-R/20)
Automation vector
This engineering discipline manages the extraction and processing of metals in large-scale physical environments. AI improves the efficiency of metallurgical processes and automates mineral classification through high-speed sensors. The harshness of the mining environment and the need to manage human teams under difficult conditions ensure that the engineer maintains operational relevance.
Automation vector (Spanish)
Esta ingeniería gestiona la extracción y procesamiento de metales en entornos físicos de gran escala. La IA mejora la eficiencia de los procesos metalúrgicos y automatiza la clasificación de minerales mediante sensores de alta velocidad. La dureza del entorno minero y la necesidad de gestionar equipos humanos en condiciones difíciles aseguran que el ingeniero mantenga su relevancia operativa.
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