Gen AI Could Fix Performance Reviews—or Make Them Even Worse

2026-05-15 · Source: HBR CMS · Field: Business & Management — Human Resources & Workforce Development, Operations & Process Management, Corporate Strategy & Leadership · Depth: Intermediate, medium

Summary

Generative AI (Gen AI) is being rapidly adopted by companies like Citi, JPMorgan, and Boston Consulting Group to streamline performance reviews, with BCG reportedly cutting review-writing time by 40%. However, most organizations are currently using Gen AI to produce more polished versions of traditional narrative reviews, which risks masking inconsistencies and subjective biases rather than addressing them. A more effective approach involves leveraging Gen AI to surface direct behavioral evidence and "consequential moments" of work, such as decision memos or project pivots, instead of merely refining subjective narratives. This shift could enable evaluation of higher-order contributions like strategic insight and mentorship, which traditional metrics often miss.

Key takeaway

For HR leaders and managers seeking to enhance performance review efficacy, focusing Gen AI on surfacing concrete behavioral evidence rather than polishing subjective narratives is crucial. This approach moves beyond easily measurable outputs to capture higher-order contributions, improving fairness and developmental impact. You should implement governance to ensure transparency, employee control over evidence portfolios, and clear boundaries to prevent surveillance drift.

Key insights

Gen AI can transform performance reviews by shifting focus from narrative polishing to surfacing direct behavioral evidence.

Principles

• Evidence-based evaluation improves objectivity.
• AI should curate, not generate, performance judgments.

Method

Reframe performance conversations around consequential work moments, direct AI tools to surface behavioral evidence, and establish governance for transparency and employee control.

In practice

• Ask "What moment best revealed your strategic thinking?"
• Use AI to find examples of project influence.
• Define acceptable communication channels for evidence.

Topics

• Generative AI Applications
• Performance Review Transformation
• Evidence-Based Evaluation
• AI in Human Resources
• Employee Performance Data

Best for: Executive, HR Professional, Consultant, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by HBR CMS.