Our comments:
Industrial Maintenance manager
Moderate but identified automation impact of AI on this Job
26.67%
level of automation
0%
100%
This section reviews the 3 main tasks associated with the job studied and assesses the potential level of automation induced by AI ('AI Automation Impact').
The modeling uses 8 criteria detailed on the 'Methodology' page.
The modeling uses 8 criteria detailed on the 'Methodology' page.
Tasks | AI Automation Impact |
---|---|
Plan and supervise preventive and corrective maintenance operations | Significant |
Ensure the proper functioning of manufacturing equipment. | Moderate |
Manage and train the maintenance team. | Low |
Through our research, we have identified two pivotal categories of skills that will be impacted by AI-driven automation :
- 'At-risk skills,' which are likely to become obsolete due to their susceptibility to automation
- 'Future-proof skills', which are projected to retain their value and resist automation, thereby ensuring their relevance in the forthcoming job market.
At-risk Skills | |
---|---|
Computerized Maintenance Management System (CMMS), IT Data Management | If CMMS tools become more intuitive or are replaced by automated systems, specific CMMS skills may become less relevant. |
Specific Knowledge (corrosion, welding, etc.) | Some manual processes could be automated or evolve with new technologies. |
Future-proof Skills | |
---|---|
Multidisciplinary Skills (mechanics, electricity, etc.) | In a comprehensive project management perspective, a fundamental understanding of mechanical and electrical systems remains essential. |
Regulatory Knowledge (work, safety, environment) | The constant evolution of regulations and their legal and financial impacts requires the industrial maintenance manager to be aware of this essential aspect of their role. |
How does AI impact this job type ?
Get the full analysis
Manufacturing Maintenance Managers are involved in planning tasks that could benefit from AI assistance, but their primary focus remains on human responsibilities like team management and training. Additionally, ensuring the proper functioning of equipment often requires practical expertise and quick decision-making in unforeseen situations.
Therefore, this profession is still relatively sheltered from AI advancements.