{"id":24853,"date":"2026-05-01T21:09:12","date_gmt":"2026-05-01T21:09:12","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/24853\/"},"modified":"2026-05-01T21:09:12","modified_gmt":"2026-05-01T21:09:12","slug":"ai-is-improving-performance-measurement-pay-is-still-human","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/24853\/","title":{"rendered":"AI is improving performance measurement. Pay is still human"},"content":{"rendered":"<p>The shift, however, isn\u2019t just about efficiency. It also reflects a broader move toward improving the quality and consistency of performance insights. With the ability to surface patterns over time, highlight overlooked achievements, and piece together a more complete picture of employee contributions, AI is helping organizations see performance in ways that were previously fragmented.<\/p>\n<p>That added visibility can also change how employees experience performance itself. Instead of relying on periodic feedback or unclear expectations, more continuous data can make it easier for employees to understand how they\u2019re performing and where they might need to improve.<\/p>\n<p>In fact, Corinne Post, the Fred J. Springer Endowed Chair in Business Leadership and Professor of Management at the Villanova School of Business, pointed to <a href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/07421222.2023.2267316\" rel=\"nofollow noopener\" target=\"_blank\">research by an international team<\/a> that found employees have more confidence in A than in their human managers when it comes to performance assessment. By drawing on larger, more continuous data sets, AI can reduce some of the bias that often shapes performance and pay decisions.<\/p>\n<p>Even so, many organizations are still figuring out how to use that information effectively. While experimentation is widespread, full integration into compensation decisions remains limited.<\/p>\n<p>\u201cThere\u2019s an opportunity to call out efficiencies gained with AI, but we don\u2019t want to lose sight of the connection between how work gets done and what\u2019s actually achieved,\u201d Velnoskey said. \u201cWe really want performance to still be about outcomes that matter to the organization.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"The shift, however, isn\u2019t just about efficiency. It also reflects a broader move toward improving the quality and&hellip;\n","protected":false},"author":2,"featured_media":24854,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,25,16809,1635],"class_list":{"0":"post-24853","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-ai","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-pay","11":"tag-performance"},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/24853","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=24853"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/24853\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/24854"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=24853"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=24853"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=24853"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}