{"id":15340,"date":"2026-03-04T05:01:58","date_gmt":"2026-03-04T10:01:58","guid":{"rendered":"https:\/\/www.servsig.org\/wordpress\/?p=15340"},"modified":"2026-05-28T15:15:54","modified_gmt":"2026-05-28T19:15:54","slug":"finally-positive-ai-productivity-statistics","status":"publish","type":"post","link":"https:\/\/www.servsig.org\/wordpress\/2026\/03\/finally-positive-ai-productivity-statistics\/","title":{"rendered":"Finally! Positive AI productivity statistics"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/www.servsig.org\/wordpress\/wp-content\/uploads\/2026\/03\/Positive-AI-productivity-statistics.png\"><img loading=\"lazy\" decoding=\"async\" width=\"826\" height=\"549\" src=\"https:\/\/www.servsig.org\/wordpress\/wp-content\/uploads\/2026\/03\/Positive-AI-productivity-statistics.png\" alt=\"\" class=\"wp-image-15341\" srcset=\"https:\/\/www.servsig.org\/wordpress\/wp-content\/uploads\/2026\/03\/Positive-AI-productivity-statistics.png 826w, https:\/\/www.servsig.org\/wordpress\/wp-content\/uploads\/2026\/03\/Positive-AI-productivity-statistics-300x199.png 300w, https:\/\/www.servsig.org\/wordpress\/wp-content\/uploads\/2026\/03\/Positive-AI-productivity-statistics-768x510.png 768w\" sizes=\"(max-width: 826px) 100vw, 826px\" \/><\/a><\/figure>\n\n\n\n<p><em>Guest article by Tor W. Andreassen.<\/em><\/p>\n\n\n\n<p>In a recent commentary in&nbsp;<a href=\"https:\/\/theaiinnovator.com\/ai-productivity-is-finally-showing-up-in-economic-data\/\">AI Innovator<\/a>&nbsp;and the&nbsp;<a href=\"https:\/\/www.ft.com\/content\/4b51d0b4-bbfe-4f05-b50a-1d485d419dc5\">Financial Times<\/a>, Stanford professor&nbsp;<a href=\"https:\/\/www.brynjolfsson.com\/\">Erik Brynjolfsson<\/a>&nbsp;argues that we are finally seeing AI showing up in the productivity statistics. Revised US figures indicate slower growth in the number of jobs while GDP growth remains strong \u2013 a classic sign of higher labour productivity. His own analysis suggests that US productivity growth in 2025 may be around 2.7 per cent, almost twice the average of the past decade.<a><\/a><\/p>\n\n\n\n<p>For many executives and economists, this is exactly what we have been waiting for: confirmation that AI investments are \u201cfinally paying off\u201d. But are we really seeing the whole picture?<\/p>\n\n\n\n<p><strong>HSP: productivity as co\u2011created value<\/strong><\/p>\n\n\n\n<p>In a recently published article in the&nbsp;<em>Journal of Service Research<\/em>, \u201c<a href=\"https:\/\/journals.sagepub.com\/doi\/10.1177\/10946705251399858\">Reconceptualizing Service Productivity: A Holistic Measurement Framework<\/a>\u201d, I introduce&nbsp;<em>Holistic Service Productivity<\/em>&nbsp;(HSP). I argue that traditional productivity measures \u2013 priced output per unit of recorded labour and capital \u2013 were developed for industrial production and capture service value creation poorly.<a><\/a><\/p>\n\n\n\n<p>The HSP framework starts from the premise that services are co\u2011created by provider and customer, and therefore combines four elements in a single structure:<\/p>\n\n\n\n<ul>\n<li><strong>customer value<\/strong>&nbsp;<img loading=\"lazy\" decoding=\"async\" width=\"9\" height=\"12\" src=\"blob:https:\/\/www.servsig.org\/ff1c6ab9-d237-4b70-8007-afd047807e65\"\/>: benefits, mastery, safety, and risk reduction realised in use<\/li>\n\n\n\n<li><strong>customer effort<\/strong>&nbsp;<img loading=\"lazy\" decoding=\"async\" width=\"8\" height=\"12\" src=\"blob:https:\/\/www.servsig.org\/af67226d-f6fe-4466-a42a-3709b64bceb4\"\/>: time, cognitive, and emotional effort required from the customer<\/li>\n\n\n\n<li><strong>provider value<\/strong>&nbsp;<img loading=\"lazy\" decoding=\"async\" width=\"10\" height=\"14\" src=\"blob:https:\/\/www.servsig.org\/71f45b8d-ca86-45f6-b790-ba3636f11092\"\/>: revenues, cost reductions, and quality\u2011 and risk effects for the firm<\/li>\n\n\n\n<li><strong>provider effort<\/strong>&nbsp;<img loading=\"lazy\" decoding=\"async\" width=\"8\" height=\"14\" src=\"blob:https:\/\/www.servsig.org\/1d2f6af2-b9a2-44bf-a8f5-f873d8b2d045\"\/>: labour, capital, technology, and organisational resources<\/li>\n<\/ul>\n\n\n\n<p>Holistic service productivity is expressed as the relationship between the customer\u2019s and the provider\u2019s net gains,&nbsp;<img loading=\"lazy\" decoding=\"async\" width=\"29\" height=\"12\" src=\"blob:https:\/\/www.servsig.org\/12cd0458-7af0-4d33-ab92-d1d6862bfb2a\"\/>&nbsp;and&nbsp;<img loading=\"lazy\" decoding=\"async\" width=\"30\" height=\"14\" src=\"blob:https:\/\/www.servsig.org\/ae8c5c2e-9043-46cf-9cb6-8b5b91108249\"\/>. The key question is no longer just \u201chow much more output do we get per hour worked?\u201d, but \u201chow are effort and gains distributed between the actors in the service system?\u201d.<a><\/a><\/p>\n\n\n\n<p><strong>Why HSP offers a deeper understanding than labour productivity<\/strong><\/p>\n\n\n\n<p><strong>1. Making hidden customer effort visible<\/strong><br \/>Brynjolfsson\u2019s numbers show that firms achieve more with fewer employees, but they say nothing about how much extra work is shifted to customers. In a digital, AI\u2011driven service economy, users fill in forms, upload documentation, interpret regulations and compensate for lack of guidance \u2013 all of this is real resource use that never appears in today\u2019s productivity statistics. HSP makes this customer effort explicit through&nbsp;<img loading=\"lazy\" decoding=\"async\" width=\"8\" height=\"12\" src=\"blob:https:\/\/www.servsig.org\/79a7de5f-454d-47a9-b339-240b86f96744\"\/>&nbsp;and therefore helps distinguish genuine efficiency gains from pure cost shifting from provider to user.<a><\/a><\/p>\n\n\n\n<p><strong>2. Bringing perceived value into the productivity concept<\/strong><br \/>Labour productivity rewards solutions that cut time and cost, even if perceived quality and safety deteriorate for customers. HSP incorporates customer value&nbsp;<img loading=\"lazy\" decoding=\"async\" width=\"9\" height=\"12\" src=\"blob:https:\/\/www.servsig.org\/406cdf94-ae57-49d8-8104-56d7fe11b983\"\/>&nbsp;\u2013 including time savings, risk reduction, and emotional value \u2013 into the productivity concept itself. An AI solution that reduces internal costs while increasing users&#8217; uncertainty and cognitive load will therefore produce a weak or negative HSP, even if labour productivity on the provider side improves.<a><\/a><\/p>\n\n\n\n<p><strong>3. Evaluating AI projects on \u201cjoint value creation\u201d \u2013 not just the bottom line<\/strong><br \/>Brynjolfsson notes that many use generative AI as a \u201cglorified dictionary\u201d, while a smaller group of \u201cpower users\u201d automate entire workflows. HSP provides a concrete criterion to distinguish cosmetic from transformative projects: high HSP requires AI solutions that&nbsp;<em>simultaneously<\/em>&nbsp;reduce both&nbsp;<img loading=\"lazy\" decoding=\"async\" width=\"8\" height=\"14\" src=\"blob:https:\/\/www.servsig.org\/b8ddd71b-9a6e-47e7-ace6-e2bdf33ba122\"\/>&nbsp;and&nbsp;<img loading=\"lazy\" decoding=\"async\" width=\"8\" height=\"12\" src=\"blob:https:\/\/www.servsig.org\/d5fdeb1a-054b-41ac-a82b-bab221d09946\"\/>&nbsp;while maintaining or increasing&nbsp;<img loading=\"lazy\" decoding=\"async\" width=\"9\" height=\"12\" src=\"blob:https:\/\/www.servsig.org\/09499958-73fd-499a-9efe-f0e7738a85f6\"\/>. This gives leaders a framework for directing AI investments towards solutions that create shared gains \u2013 not just nicer numbers in internal productivity reports.<a><\/a><\/p>\n\n\n\n<p><strong>From AI optimism to responsible management<\/strong><\/p>\n\n\n\n<p>Brynjolfsson\u2019s message from the Financial Times is that we are moving out of the AI productivity paradox: after years of investment, we finally see a macro\u2011level productivity uptick. The HSP framework broadens this picture by asking&nbsp;<em>how<\/em>&nbsp;this uplift is generated and&nbsp;<em>who<\/em>carries the effort.<a><\/a><\/p>\n\n\n\n<p>For business leaders, this implies that AI\u2011driven productivity must be understood as more than extra euros or dollars per labour hour. For policymakers, it suggests that future productivity policy must consider both value creation and effort across the entire service system \u2013 including customers. Only then can we move from counting labour\u2011productivity growth to managing for holistic service productivity.<br \/><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignleft size-thumbnail\"><a href=\"https:\/\/www.servsig.org\/wordpress\/wp-content\/uploads\/2017\/09\/Andreassen-TorW_1.jpg\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/www.servsig.org\/wordpress\/wp-content\/uploads\/2017\/09\/Andreassen-TorW_1-150x150.jpg\" alt=\"\" class=\"wp-image-5501\" srcset=\"https:\/\/www.servsig.org\/wordpress\/wp-content\/uploads\/2017\/09\/Andreassen-TorW_1-150x150.jpg 150w, https:\/\/www.servsig.org\/wordpress\/wp-content\/uploads\/2017\/09\/Andreassen-TorW_1-144x144.jpg 144w, https:\/\/www.servsig.org\/wordpress\/wp-content\/uploads\/2017\/09\/Andreassen-TorW_1.jpg 300w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/a><\/figure><\/div>\n\n\n<p>Tor W. Andreassen, PhD <br \/>Professor emeritus at the Norwegian School of Economics <br \/>Leader of the Professional Council, Open Innovation Lab of Norway<br \/><br \/><br \/><br \/><br \/><br \/><br \/><\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">Image credits: <a href=\"https:\/\/unsplash.com\/photos\/selective-focus-photography-of-productivity-printed-book-n9u9ZEoH2yM\" target=\"_blank\" rel=\"noreferrer noopener\">kris<\/a><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>Guest article by Tor W. Andreassen. In a recent commentary in&nbsp;AI Innovator&nbsp;and the&nbsp;Financial Times, Stanford professor&nbsp;Erik Brynjolfsson&nbsp;argues that we are finally seeing AI showing up in the productivity statistics. Revised US figures indicate slower growth in the number of jobs while GDP growth remains strong \u2013 a classic sign of higher labour productivity. His own [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":15341,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10,8],"tags":[],"_links":{"self":[{"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/posts\/15340"}],"collection":[{"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/comments?post=15340"}],"version-history":[{"count":1,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/posts\/15340\/revisions"}],"predecessor-version":[{"id":15342,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/posts\/15340\/revisions\/15342"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/media\/15341"}],"wp:attachment":[{"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/media?parent=15340"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/categories?post=15340"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/tags?post=15340"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}