Our comments:
Telecom Engineer
Moderate but identified automation impact of AI for this Job
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33.33%
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 |
|---|---|
| Design and optimize telecommunication infrastructures | Moderate |
| Supervise the installation, maintenance, and troubleshooting of telecom equipment | Significant |
| Collaborate with suppliers and partners to ensure service continuity | Significant |
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 | |
|---|---|
| Monitoring the Delivery of a Service | With the rise of AI, control and monitoring systems can be automated to ensure services are properly delivered, thus reducing the need for manual control. |
| Selecting Suppliers, Sub-contractors, Service Providers | AI-based recommendation platforms could simplify this task by pre-selecting suppliers based on defined criteria. |
| Future-proof Skills | |
|---|---|
| Coordinating Team Activity | Coordination and management of human teams require interpersonal skills, leadership, and an understanding of nuances that cannot be easily automated. |
| Evaluating the Needs and Operational Requirements of an Infrastructure | While AI can help provide data, the interpretation of this data and making strategic decisions will require human expertise. |
How does AI impact this job type ?
Get the full analysis
Telecom engineers already benefit from AI to optimize telecommunication infrastructures. AI-based tools facilitate fault prevention, bandwidth optimization, and efficient traffic management. However, collaboration with providers and making strategic decisions require distinct human expertise.
Thus, AI provides advantages in terms of optimization and maintenance, working in complement to the engineer’s skills.