AI Enters Performance Reviews
Google, Meta and JPMorgan are embedding AI into performance reviews — blending human feedback with AI‑generated insights on code quality, collaboration, and impact so raises and promotions tie more to AI‑tool fluency. (businessinsider.com)
Internal JPMorgan documents reviewed by Business Insider show formal updates to performance expectations for software and security engineers that explicitly require adopting AI to “drive excellence” in productivity and impact. (businessinsider.com) Meta’s Head of People, Janelle Gale, sent an internal memo announcing that “AI‑driven impact” will become a core expectation starting in 2026. (hrgrapevine.com) That memo also noted Meta’s 2025 performance‑review cycle begins on December 8 and said AI‑related wins could be highlighted in self‑reviews even before formal metrics roll into 2026. (hrgrapevine.com) JPMorgan’s internal guidance describes a proprietary “LLM Suite” that onboarded roughly 200,000 users within eight months and allows employees to generate draft performance reviews from prompts, while the bank’s guidance says final submissions remain employee responsibility and the tool “will not be used in pay or bonus decisions.” (hrgrapevine.com 1)(hrgrapevine.com 2) Google has rolled Gemini Code Assist into GitHub workflows to produce automated review summaries and suggestions for code quality, positioning AI as part of the standard code‑review pipeline. (cloud.google.com) Google Cloud cited DORA research showing teams with faster, higher‑quality code‑review cycles see measurable delivery gains and that AI can improve review speed and reported code quality in early studies. (cloud.google.com) JPMorgan intranet screenshots show explicit goal language — e.g., “Demonstrate measurable improvement in code quality, speed and productivity through regular use of approved AI coding assist tools” — with the firm telling employees those new objectives would be added and visible by the end of March. (businessinsider.com) Both Meta and JPMorgan have built dashboards and gamified programs to track AI tool usage (Meta’s “Level Up” badges and JPMorgan dashboards that show who is using which tools), and multiple employees told reporters those tracking systems have surfaced in manager conversations about expectations. (hrgrapevine.com)(africa.businessinsider.com)
