Jobs & Talent · Source published 26 August 2025
Research signal
The original Stanford 2025 study raised questions about early-career employment in AI-exposed occupations. The hiring method below is our practical editorial response, not a finding of that study.
Source: Stanford SIEPR — Canaries in the Coal Mine, original working paper · 26 August 2025.
Event Systematic perspective
When applications are polished and similar, employers need better evidence of fit. A short, relevant assessment can show how a candidate approaches uncertainty, responds to feedback and uses a tool. It should not require an unpaid project that produces substantial commercial value for the employer.
Give candidates the same synthetic case and explain whether AI assistance is permitted. Ask them to discuss the reasoning behind their answer and revise it after receiving one new fact. This creates room for capable entrants who lack a long employment history while keeping the assessment tied to real work.
Put it into practice
- Keep the task proportionate to the role and offer reasonable accessibility adjustments.
- Score reasoning, verification and communication using criteria shared with assessors.
- Explain the outcome to candidates where practical and avoid treating confidence or presentation style as a proxy for competence.
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