AI resilience estimate
Some parts of the work may change more than others. Start by finding where AI can help and where your judgment matters.
Higher means more resilience in this estimate. This is not a percentage chance of keeping or losing your job.
AI tools may speed up drafting and reviewing code and narrowing down bugs. People still decide the technical approach, verify behavior in context, and answer for how production systems run.
Collaborating with product teams and planning solutions can require translating ambiguous needs into trade-offs and agreed scope. That is a practice area to develop, tied to your stated planning and collaboration tasks.
Based on your role and 4 tasks you described. Your employer’s plans and local job market are not known.
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Read the reasoning and the six factors.
Higher means more resilience in this estimate. The weights show each factor’s share of the total. A score of 50 can mean information is unknown; read the note alongside it.
35% of the total
Writing code and debugging include repeatable digital output that AI may assist with, while planning, product collaboration, and accountability for maintained systems rely on sustained human context and decisions.
20% of the total
This is a general capability estimate from model knowledge, not current research; coding assistance is a broad area of AI capability, so some of these tasks may change, though live evidence was not checked.
15% of the total
Actual AI adoption at your employer was not checked. This neutral placeholder is unknown context, not a measured adoption rate.
15% of the total
This work can require accountability for system behavior, negotiating scope with product teams, and judging risk in operational energy-sector contexts; these are role requirements, not demonstrated abilities.
10% of the total
Solution planning, debugging, code review, and cross-team collaboration overlap with many other technical and coordination roles; no skills were listed, so proficiency is not assumed.
5% of the total
Current hiring demand was not checked. This neutral placeholder is unknown context, not evidence of average demand.
Higher means more resilience in this estimate. The weights show each factor’s share of the total. A score of 50 can mean information is unknown; read the note alongside it.
35% of the total
Writing code and debugging include repeatable digital output that AI may assist with, while planning, product collaboration, and accountability for maintained systems rely on sustained human context and decisions.
20% of the total
This is a general capability estimate from model knowledge, not current research; coding assistance is a broad area of AI capability, so some of these tasks may change, though live evidence was not checked.
15% of the total
Actual AI adoption at your employer was not checked. This neutral placeholder is unknown context, not a measured adoption rate.
15% of the total
This work can require accountability for system behavior, negotiating scope with product teams, and judging risk in operational energy-sector contexts; these are role requirements, not demonstrated abilities.
10% of the total
Solution planning, debugging, code review, and cross-team collaboration overlap with many other technical and coordination roles; no skills were listed, so proficiency is not assumed.
5% of the total
Current hiring demand was not checked. This neutral placeholder is unknown context, not evidence of average demand.
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