Our comments:
Production Engineer
Job Still Minimally Affected by AI Due to Its Physical Dimension
9,75%
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 |
|---|---|
| Supervise and optimize production processes to ensure efficiency, quality, and conformity to specifications | Low |
| Collaborate with maintenance, quality, and logistics teams to ensure production continuity | Significant |
| Assess and implement technological improvements or process modifications to increase productivity or reduce costs | 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 | |
|---|---|
| Analyze activity data of a production | Data analysis is already largely automated thanks to AI and Business Intelligence tools. In the near future, this automation will become even more pronounced. |
| Establish a production report | Report generation can be automated, especially if the data are already collected and analyzed digitally. |
| Future-proof Skills | |
|---|---|
| Project Management | While AI can provide data-based insights, the final decision and the design of strategic actions require a human understanding of nuances, company culture, objectives, and long-term implications. |
| Propose actions to improve the productivity of an activity | While certain aspects of project management can be assisted by digital tools, interpersonal coordination, conflict resolution, and understanding the specific needs of the project require human sensitivity and understanding that AI will find hard to replicate. |
How does AI impact this job type ?
Get the full analysis
⚠️ Although eight criteria, including the complexity and creativity of primary tasks and associated risk levels, indicate this job has significant automation potential, its physical dimension acts as a substantial hurdle to further automation.
Although AI can play a significant role in optimizing production processes by analyzing real-time data to identify inefficiencies or potential failure points, tasks have physical dimensions that reduce automation opportunities.
Similarly, artificial intelligence can help assess and recommend technological improvements. However, collaboration with other teams and overall production supervision are tasks that require human intervention for decision-making, interpretation, and complex problem-solving.