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 may speed up first-pass data analysis, draft report text, and forecast scaffolding. Humans still choose assumptions, interpret results for the context, and sign off on conclusions others will rely on.
Advising clients or stakeholders and reviewing risks and controls can require explaining reasoning, handling questions, and taking accountability. These are skills to practice alongside analysis.
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
Data analysis and report drafting are largely digital and repeatable, so AI assistance is plausible, while advising and risk review rely on context, interaction, and accountability; detail within each task is unknown.
20% of the total
This is a general capability estimate from model knowledge, not a measurement of current research; AI tools can already assist with analysis and drafting, and the pace of future change is uncertain.
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
Advising stakeholders and reviewing controls can require relationship-building, judgment under ambiguity, and accountability for conclusions; these are role requirements, not demonstrated personal abilities.
10% of the total
Analyzing data, forecasting, risk review, and communicating findings overlap with other analytical and advisory work; no skills were listed, so proficiency is unknown.
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
Data analysis and report drafting are largely digital and repeatable, so AI assistance is plausible, while advising and risk review rely on context, interaction, and accountability; detail within each task is unknown.
20% of the total
This is a general capability estimate from model knowledge, not a measurement of current research; AI tools can already assist with analysis and drafting, and the pace of future change is uncertain.
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
Advising stakeholders and reviewing controls can require relationship-building, judgment under ambiguity, and accountability for conclusions; these are role requirements, not demonstrated personal abilities.
10% of the total
Analyzing data, forecasting, risk review, and communicating findings overlap with other analytical and advisory work; no skills were listed, so proficiency is unknown.
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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