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.
Assumed typical duties: AI may speed up data gathering, variance commentary drafts, and routine model updates. Human involvement likely remains for assumption-setting, reviewing outputs, and standing behind recommendations to decision-makers.
Framing ambiguous business questions, challenging assumptions, and explaining financial results to non-specialists are human contributions this work can require and a skill to practice, especially as drafting becomes faster.
Based on a typical version of your role. Your actual tasks may differ. 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
Assumed duties like data pulls, reporting, and first-draft commentary are digital and repeatable, so AI may assist heavily; recommendations and stakeholder discussions still need accountable human involvement. Without stated tasks, this is uncertain.
20% of the total
A general capability estimate from model knowledge, not live research: current AI handles structured analysis and writing tasks reasonably well, which bears directly on many analyst duties.
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
Assumed analyst work can require accountability for recommendations, trust with colleagues and clients, and judgment about regulatory and business context; these are role requirements, not demonstrated abilities.
10% of the total
Assumed duties like financial modeling, data interpretation, and written communication overlap with many roles in finance and operations; no skills were supplied, so proficiency is not established.
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
Assumed duties like data pulls, reporting, and first-draft commentary are digital and repeatable, so AI may assist heavily; recommendations and stakeholder discussions still need accountable human involvement. Without stated tasks, this is uncertain.
20% of the total
A general capability estimate from model knowledge, not live research: current AI handles structured analysis and writing tasks reasonably well, which bears directly on many analyst duties.
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
Assumed analyst work can require accountability for recommendations, trust with colleagues and clients, and judgment about regulatory and business context; these are role requirements, not demonstrated abilities.
10% of the total
Assumed duties like financial modeling, data interpretation, and written communication overlap with many roles in finance and operations; no skills were supplied, so proficiency is not established.
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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