{"id":924833,"date":"2026-10-12T04:45:15","date_gmt":"2026-10-12T04:45:15","guid":{"rendered":"https:\/\/www.capgemini.com\/pl-pl\/?post_type=research-and-insight&#038;p=924833"},"modified":"2026-10-16T04:59:38","modified_gmt":"2026-10-16T04:59:38","slug":"ai-in-product-development","status":"publish","type":"research-and-insight","link":"https:\/\/www.capgemini.com\/pl-pl\/insights\/biblioteka\/ai-in-product-development\/","title":{"rendered":"Rewiring automotive product development \u2013 How organizations can pull ahead in the AI race"},"content":{"rendered":"\n<header class=\"wp-block-cg-blocks-hero-reusable header heroReusable  \"><div class=\"header-bgs\"><picture><source srcset=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/10\/AI-in-Automotive-CRI-Report_DotCom_Banner_2880X1800.jpg?w=2880&amp;quality=70 1x, https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/10\/AI-in-Automotive-CRI-Report_DotCom_Banner_2880X1800.jpg?w=2880&amp;quality=70 2x\" media=\"(min-width: 1500px)\"\/><source srcset=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/10\/AI-in-Automotive-CRI-Report_DotCom_Banner_2880X1800.jpg?w=1440&amp;quality=70 1x, https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/10\/AI-in-Automotive-CRI-Report_DotCom_Banner_2880X1800.jpg?w=2880&amp;quality=70 2x\" media=\"(min-width: 992px)\"\/><source srcset=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/10\/AI-in-Automotive-CRI-Report_DotCom_Banner_2880X1800.jpg?w=1024&amp;quality=70 1x, https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/10\/AI-in-Automotive-CRI-Report_DotCom_Banner_2880X1800.jpg?w=1024&amp;quality=70 2x\" media=\"(min-width: 768px)\"\/><source srcset=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/10\/AI-in-Automotive-CRI-Report_DotCom_Banner_2880X1800.jpg?w=768&amp;quality=70 1x, https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/10\/AI-in-Automotive-CRI-Report_DotCom_Banner_2880X1800.jpg?w=768&amp;quality=70 2x\" media=\"(min-width: 0)\"\/><img decoding=\"async\" src=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/10\/AI-in-Automotive-CRI-Report_DotCom_Banner_2880X1800.jpg\" class=\"header-img header-img-d\" alt=\"\" style=\"object-fit:cover;object-position:50% 50%\" loading=\"eager\"\/><\/picture><\/div><div class=\"heroPictureCardHeaderShape\"><\/div><div class=\"container\"><div class=\"row\"><div class=\"col-md-12\"><div class=\"box\"><div class=\"boxTagWrapper\"><div class=\"tagInfo\"><div><span class=\"box-tag\">Data and AI<\/span><\/div><\/div><div class=\"brandInfo\"><div class=\"brandLogo\"><img decoding=\"async\" loading=\"lazy\" src=\"\/wp-content\/themes\/capgemini2025\/assets\/images\/capgemini-research-institute-white.svg\" alt=\"capgemini-research-institute\" class=\"dark\"\/><img decoding=\"async\" loading=\"lazy\" src=\"\/wp-content\/themes\/capgemini2025\/assets\/images\/capgemini-research-institute.svg\" alt=\"capgemini-research-institute\" class=\"light\"\/><\/div><\/div><\/div><div class=\"box-title\"><h1 data-maxlength=\"34\">Rewiring automotive product development &#8211; How organizations can pull ahead in the AI race<\/h1><\/div><div class=\"inner-row-insight download-btn\"><div class=\"col-md-4 downloadFiles \"><a class=\"button-download--small\" type=\"download\" href=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/10\/Rewiring-automotive-product-development_How-organizations-can-pull-ahead-in-the-AI-race_Automotive_Capgemini.pdf\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><span>Download the report<\/span><span class=\"type\">13 MB pdf<\/span><\/a><\/div><div class=\"col-md-4 downloadFiles \"><a class=\"button-download--small\" type=\"download\" href=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/10\/Final-Infographic_2bb8fe.pdf\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><span>Download infographic<\/span><span class=\"type\">458 KB pdf<\/span><\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/header>\n\n\n\n<section class=\"wp-block-cg-blocks-group section section--article-content\"><div class=\"article-main-content\"><div class=\"container\"><div class=\"grid-container\"><div class=\"col-12 col-md-2\"><nav class=\"article-social\"><ul class=\"social-nav\"><li class=\"ip-order-fb\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https:\/\/www.capgemini.com\/?post_type=research-and-insight&amp;p=1239701\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-fb\"><\/i><span class=\"sr-only\">Facebook<\/span><\/a><\/li><li class=\"ip-order-li\"><a href=\"https:\/\/www.linkedin.com\/shareArticle?url=https:\/\/www.capgemini.com\/?post_type=research-and-insight&amp;p=1239701\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><span class=\"sr-only\">Linkedin<\/span><\/a><\/li><\/ul><\/nav><\/div><div><div class=\"article-text article-quote-text\">\n<h2 id=\"h-how-organizations-are-scaling-agentic-ai-in-automotive-engineering-and-across-the-product-development-lifecycle\" class=\"wp-block-heading\">How organizations are scaling agentic AI in automotive engineering and across the product development lifecycle<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The automotive industry is embracing AI at pace, but technology is advancing faster than the processes, governance, and operating models needed to apply it, while scaling AI across the automotive lifecycle. Today\u2019s competitive advantage increasingly depends on turning AI-generated outputs into trusted engineering decisions. However, building trust in AI-driven engineering decisions is proving to be a challenge.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This report draws on a survey of 800 executives from automotive manufacturers, suppliers, and technology providers across 12 countries, complemented by 24 interviews with engineering leaders from across the industry, and explores the future of automotive engineering.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n\n\n\n\t\t<section\n\t\t\tclass=\"section section--lifeatcap-learning section--event-slider-careerInvent\">\n\n\t\t\t<div class=\"container\">\n\t\t\t\t<div class='career-invent-header'>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\t<div class=\"slider slider-fader c0f09188-8562-494a-b656-6e3422734d7f\">\n\t\t\t\t\t\t\t\t<div\n\t\t\t\t\tclass=\"slider-list \">\n\t\t\t\t\t\t\t\t\t\t\t<div\n\t\t\t\t\t\t\tclass=\"slide active \">\n\t\t\t\t\t\t\t<div\n\t\t\t\t\t\t\t\tclass=\"slide-bg-wrapper wp-block-cg-blocks-career-invent 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2026\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/h3>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tclass=\"box-title \">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<h4 data-maxlength=\"144\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ttitle=\"October 12-18, 2026 | Paris Porte de Versailles | Hall 7.1\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tstyle=\"white-space: pre-wrap;\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tOctober 12-18, 2026 | Paris Porte de Versailles | Hall 7.1\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/h4>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"btnDiv\"> <a 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https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/09\/NEW-Capgemini-MondialAuto-WebSite-Banner.jpg?w=1200&amp;quality=90 2x\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tmedia=\"(min-width: 1500px)\" \/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<source\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tsrcset=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/09\/NEW-Capgemini-MondialAuto-WebSite-Banner.jpg?w=600&amp;quality=90 1x, https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/09\/NEW-Capgemini-MondialAuto-WebSite-Banner.jpg?w=1200&amp;quality=90 2x\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tmedia=\"(min-width: 992px)\" \/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<source\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tsrcset=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/09\/NEW-Capgemini-MondialAuto-WebSite-Banner.jpg?w=400&amp;quality=90 1x, https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/09\/NEW-Capgemini-MondialAuto-WebSite-Banner.jpg?w=800&amp;quality=90 2x\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tmedia=\"(min-width: 768px)\" \/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<source\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tsrcset=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/09\/NEW-Capgemini-MondialAuto-WebSite-Banner.jpg?w=400&amp;quality=90 1x, https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/09\/NEW-Capgemini-MondialAuto-WebSite-Banner.jpg?w=800&amp;quality=90 2x\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tmedia=\"(min-width: 0)\" \/>\n\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" class=\"box-img\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tsrc=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2026\/09\/NEW-Capgemini-MondialAuto-WebSite-Banner.jpg\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tstyle=\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tobject-position: 50% 50%; object-fit: cover;\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\" alt=\"\" \/>\n\n\t\t\t\t\t\t\t\t\t\t\t\t<\/picture>\n\t\t\t\t\t\t\t\t\t\t\t\t<!-- <img decoding=\"async\" class=\"box-img\" src=\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\n\t\t\t\t\t\t\t\t\t\t\tstyle=\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\" alt=\"\"\n\t\t\t\t\t\t\t\t\t\t\/> -->\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div\n\t\t\t\t\t\t\t\t\tclass=\"\">\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"slide-reveal\"><\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t\n\t\t\t<\/div>\n\n\t\t<\/section>\n\n\t\t\n\n\n<section class=\"wp-block-cg-blocks-group section section--article-content\"><div class=\"article-main-content\"><div class=\"container\"><div class=\"grid-container\"><div><div class=\"article-text article-quote-text\">\n<h3 id=\"h-where-the-industry-struggles-and-succeeds-with-ai\" class=\"wp-block-heading\">Where the industry struggles and succeeds with AI<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>AI is paying off, and leaders are pulling ahead<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A distinct group of organizations is achieving two to three times greater gains in development speed, engineering productivity, and time-to-market, underscoring the advantage AI can delivery across engineering. Their advantage stems from stronger automotive AI governance, higher-quality engineering data, and clearer accountability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Agentic AI is moving into mainstream engineering workflows<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Among organizations who work towards AI adoption in automotive OEMs and suppliers, 35% report using agentic AI in engineering processes, while 33% begin pilot programs. Adoption is expanding fastest across activities linking the engineering lifecycle.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Lack of a connected engineering backbone remains one of the industry\u2019s biggest obstacle<\/strong>s<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">One of the biggest challenges facing the industry a connected engineering backbone that links engineering data, lifecycle platforms, and workflows, giving agents the context and traceability to act across functions. &nbsp;This is particularly true when it comes to applying AI to engineering-critical decisions and means engineering data governance is a strategic priority.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Automotive AI governance and decision rights<\/strong><strong><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Only 5% of organizations describe their AI governance model as fully mature, while fewer than half have redefined the necessary decision-making authority in terms of engineering decision intelligence.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Vehicle data rarely becomes vehicle action<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Many organizations are struggling to translate vehicle telemetry and over-the-air update data insights into engineering actions for vehicles in service, particularly in the era of AI-powered software-defined vehicles.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>AI is exposing new dependencies across the ecosystem<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Growing challenges around ownership in sovereignty, accountability, cybersecurity, and an AI-powered engineering lifecycle are creating mounting difficulties, particularly as AI scales across partner networks. This has increased the need for a mature automotive AI ecosystem collaboration.<\/p>\n\n\n\n<h4 id=\"h-five-actions-for-automotive-leaders\" class=\"wp-block-heading\"><strong>Five actions for automotive leaders<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">To address these issues and harness the full potential of AI for automotive product development, organizations should:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Scale AI across product development in parallel, not sequentially<\/li>\n\n\n\n<li>Build an agentic control plane grounded in evidence and traceability<\/li>\n\n\n\n<li>Make engineering data machine-interpretable<\/li>\n\n\n\n<li>Manage engineering across three key lifecycle metrics<\/li>\n\n\n\n<li>Close the loop between vehicles in service and engineering teams to enhance AI-enabled vehicle development<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>This report is essential for<\/strong> CTOs, chief engineering officers, heads of R&amp;D, chief digital and AI officers, product strategy leaders, and engineering transformation teams seeking to move from AI experimentation to trusted execution across the product lifecycle and build a connected engineering backbone.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n\n\n<section class=\"latest-insights layout-even layout-even-all-purple-cards \"><div class=\"container\"><div class=\"insight-title\"><h2 class=\"latest-insight-title\">Further reading<\/h2><\/div><div class=\"layout-two-card cards-normal\">\n                                <div class=\"row align-items-center\"><div class=\"card-image-wrapper\">\n                                <div class=\"card-image\" data-image-url=\"https:\/\/www.capgemini.com\/pl-pl\/insights\/biblioteka\/augmented-engineering\/\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<picture>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<source srcset=\"https:\/\/www.capgemini.com\/pl-pl\/wp-content\/uploads\/sites\/27\/2026\/07\/Realizing-augmented-engineering-banner.jpg?w=800&#038;quality=70 1x, https:\/\/www.capgemini.com\/pl-pl\/wp-content\/uploads\/sites\/27\/2026\/07\/Realizing-augmented-engineering-banner.jpg?w=800&#038;quality=70 2x\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tmedia=\"(min-width: 1500px)\"\/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<source srcset=\"https:\/\/www.capgemini.com\/pl-pl\/wp-content\/uploads\/sites\/27\/2026\/07\/Realizing-augmented-engineering-banner.jpg?w=800&#038;quality=70 1x, https:\/\/www.capgemini.com\/pl-pl\/wp-content\/uploads\/sites\/27\/2026\/07\/Realizing-augmented-engineering-banner.jpg?w=800&#038;quality=70 2x\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tmedia=\"(min-width: 992px)\"\/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<source srcset=\"https:\/\/www.capgemini.com\/pl-pl\/wp-content\/uploads\/sites\/27\/2026\/07\/Realizing-augmented-engineering-banner.jpg?w=800&#038;quality=70 1x, https:\/\/www.capgemini.com\/pl-pl\/wp-content\/uploads\/sites\/27\/2026\/07\/Realizing-augmented-engineering-banner.jpg?w=800&#038;quality=70 2x\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tmedia=\"(min-width: 768px)\"\/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<source srcset=\"https:\/\/www.capgemini.com\/pl-pl\/wp-content\/uploads\/sites\/27\/2026\/07\/Realizing-augmented-engineering-banner.jpg?w=350&#038;quality=70 1x, https:\/\/www.capgemini.com\/pl-pl\/wp-content\/uploads\/sites\/27\/2026\/07\/Realizing-augmented-engineering-banner.jpg?w=700&#038;quality=70 2x\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tmedia=\"(min-width: 0)\"\/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.capgemini.com\/pl-pl\/wp-content\/uploads\/sites\/27\/2026\/07\/Realizing-augmented-engineering-banner.jpg\" alt=\"\" style=\"object-position: 50% 50%; object-fit: cover;\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/picture>\n                                <\/div>\n                            <\/div><div class=\"col-12 col-lg-4 d-md-none d-lg-block\"><\/div><div class=\"col-12 col-md-6 col-lg-4\">\n                           <a href=\"https:\/\/www.capgemini.com\/pl-pl\/insights\/biblioteka\/augmented-engineering\/\" aria-label=\"Realizacja koncepcji rozszerzonej in\u017cynierii\" class=\"card-link-holder\">\n                            <div class=\"insight-card insight-card-center\">\n                                <div class=\"card-tag\">Capgemini Research Institute<\/div>\n                                <h3 class=\"card-title\">Realizacja koncepcji rozszerzonej in\u017cynierii<\/h3>\n                                <div class=\"insight-card-footer\">\n                                    <img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.capgemini.com\/pl-pl\/wp-content\/themes\/capgemini2025\/assets\/images\/capgemini-research-institute.svg\" alt=\"capgemini-research-institute\" class=\"light\">\n\t\t\t\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.capgemini.com\/pl-pl\/wp-content\/themes\/capgemini2025\/assets\/images\/capgemini-research-institute-white.svg\" alt=\"capgemini-research-institute\" class=\"dark\">\n                                <\/div>\n                            <\/div>\n                            <\/a>\n                        <\/div>\n                    <div class=\"col-12 col-md-6 col-lg-4\">\n                            <a href=\"https:\/\/www.capgemini.com\/pl-pl\/insights\/biblioteka\/customer-experience-in-automotive-2024\/\" aria-label=\"Customer experience w bran\u017cy automotive 2024\" class=\"card-link-holder\">\n                            <div class=\"insight-card insight-card-start\">\n                                <div class=\"card-tag\">Capgemini Research Institute<\/div>\n                                <h3 class=\"card-title\">Customer experience w bran\u017cy automotive 2024<\/h3>\n                                <div class=\"insight-card-footer\">\n                                    <img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.capgemini.com\/pl-pl\/wp-content\/themes\/capgemini2025\/assets\/images\/capgemini-research-institute-white.svg\" alt=\"capgemini-research-institute\" class=\"light\">\n                                    <img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.capgemini.com\/pl-pl\/wp-content\/themes\/capgemini2025\/assets\/images\/capgemini-research-institute-white.svg\" alt=\"capgemini-research-institute\" class=\"dark\">\n                                <\/div>\n                            <\/div>\n                            <\/a>\n                        <\/div>\n                    <\/div>\n                    <\/div><\/div><\/section>\n\n\n<div data-open-first=\"false\" class=\"wp-block-cg-blocks-cg-blocks-faq-schema\"><section class=\"wp-block-cg-blocks-cg-blocks-faq-schema section section--faqs-content\"><div class=\"container\"><div class=\"row\"><div class=\"col-md-12\"><div class=\"content-title\"><h2>FAQs<\/h2><\/div><div class=\"filters filters--vertical\" data-max=\"100\"><div class=\"expanders filters-content\">\n<div class=\"wp-block-cg-blocks-cg-block-card-faq-schema expander-box filter-box tag-active\"><div class=\"expander-title\" role=\"button\" tabindex=\"0\" aria-expanded=\"false\"><h3>1. What is the report about?<\/h3><\/div><div class=\"expander-content\">\n<p class=\"wp-block-paragraph\">The report explores how AI, particularly agentic AI, is reshaping automotive product development. It examines where organizations are generating value, what prevents adoption at scale, and how stronger data, governance, engineering processes, and ecosystem collaboration can accelerate progress.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-cg-blocks-cg-block-card-faq-schema expander-box filter-box tag-active\"><div class=\"expander-title\" role=\"button\" tabindex=\"0\" aria-expanded=\"false\"><h3>2. What is agentic AI in automotive product development?<\/h3><\/div><div class=\"expander-content\">\n<p class=\"wp-block-paragraph\">Agentic AI refers to AI systems that can coordinate activities, orchestrate workflows across tools and functions, and execute defined tasks with varying levels of autonomy. In automotive engineering, potential applications range from documentation and data preparation to coding, testing, simulation, defect analysis, and workflow coordination.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-cg-blocks-cg-block-card-faq-schema expander-box filter-box tag-active\"><div class=\"expander-title\" role=\"button\" tabindex=\"0\" aria-expanded=\"false\"><h3>3. How widely is agentic AI being used in automotive engineering?<\/h3><\/div><div class=\"expander-content\">\n<p class=\"wp-block-paragraph\">Thirty-five percent of OEM and supplier executives say their organizations already use agentic AI in engineering processes and tasks, while a further 33% are actively piloting it. The report finds that 65% use generative AI in engineering processes and tasks.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-cg-blocks-cg-block-card-faq-schema expander-box filter-box tag-active\"><div class=\"expander-title\" role=\"button\" tabindex=\"0\" aria-expanded=\"false\"><h3>4. What benefits are automotive organizations achieving from AI?<\/h3><\/div><div class=\"expander-content\">\n<p class=\"wp-block-paragraph\">The strongest reported benefits include higher engineering productivity, faster development cycles, improved testing efficiency, better engineering quality, and reduced time-to-market. High-value realizers report 19% productivity gains, a 17% improvement in development-cycle time, and a 19% reduction in time-to-market.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-cg-blocks-cg-block-card-faq-schema expander-box filter-box tag-active\"><div class=\"expander-title\" role=\"button\" tabindex=\"0\" aria-expanded=\"false\"><h3>5. What distinguishes organizations that achieve greater value from AI?<\/h3><\/div><div class=\"expander-content\">\n<p class=\"wp-block-paragraph\">The leaders do not necessarily use more AI. They are more likely to have clear business cases, trusted data foundations, stronger governance, aligned incentives, effective cross-team collaboration, and operating models that free engineers from labor-intensive, non-core work.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-cg-blocks-cg-block-card-faq-schema expander-box filter-box tag-active\"><div class=\"expander-title\" role=\"button\" tabindex=\"0\" aria-expanded=\"false\"><h3>6. Where is agentic AI creating the most value today?<\/h3><\/div><div class=\"expander-content\">\n<p class=\"wp-block-paragraph\">AI adoption and value realization are currently strongest in software-focused environments, where workflows and data are already highly digitalized. In mechanical and electrical\/electronic engineering, promising areas include performance monitoring, test-result analysis, calibration, simulation-led refinement, and issue diagnosis.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-cg-blocks-cg-block-card-faq-schema expander-box filter-box tag-active\"><div class=\"expander-title\" role=\"button\" tabindex=\"0\" aria-expanded=\"false\"><h3>7. What are the biggest barriers to scaling AI in product development?<\/h3><\/div><div class=\"expander-content\">\n<p class=\"wp-block-paragraph\">The main obstacles are not simply technical. They include inconsistent engineering data, fragmented toolchains, unclear decision rights, limited traceability, immature governance, process inefficiencies, and difficulty converting AI-generated outputs into trusted engineering decisions.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-cg-blocks-cg-block-card-faq-schema expander-box filter-box tag-active\"><div class=\"expander-title\" role=\"button\" tabindex=\"0\" aria-expanded=\"false\"><h3>8. Why are governance, trust, and human oversight so important?<\/h3><\/div><div class=\"expander-content\">\n<p class=\"wp-block-paragraph\">AI outputs in automotive engineering can affect product quality, compliance, safety, and performance. Although 68% of surveyed organizations require human approval for high-impact decisions, only 41% say they can trace the data, assumptions, and rationale behind an AI-influenced outcome.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-cg-blocks-cg-block-card-faq-schema expander-box filter-box tag-active\"><div class=\"expander-title\" role=\"button\" tabindex=\"0\" aria-expanded=\"false\"><h3>9. How can organizations close the loop between vehicles in use and product development?<\/h3><\/div><div class=\"expander-content\">\n<p class=\"wp-block-paragraph\">Organizations need to connect vehicle telemetry, customer feedback, service data, engineering decisions, validation, and deployment through an automated feedback pipeline. While 81% collect connected-vehicle telemetry, only 40% report having an automated pipeline that connects data collection, insight generation, validation, and deployment.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-cg-blocks-cg-block-card-faq-schema expander-box filter-box tag-active\"><div class=\"expander-title\" role=\"button\" tabindex=\"0\" aria-expanded=\"false\"><h3>10. How was the research conducted?<\/h3><\/div><div class=\"expander-content\">\n<p class=\"wp-block-paragraph\">The research is based on a July 2026 survey of 800 senior automotive executives, including 400 OEM executives, 160 tier-1 supplier executives, and 240 executives from technology providers. It covers 12 countries across North America, Europe, and Asia-Pacific and is supplemented by 24 in-depth interviews with automotive executives and industry experts.<\/p>\n<\/div><\/div>\n<\/div><\/div><\/div><\/div><\/div><\/section><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI in automotive product development<\/p>\n","protected":false},"author":257,"featured_media":924834,"template":"","meta":{"cg_dt_proposed_to":[],"cg_seo_hreflang_relations":"[{\"uuid\":\"dac322df-b9e0-45ff-9a46-023110c42d9c\",\"blogId\":\"27\",\"domain\":\"www.capgemini.com\",\"sitePath\":\"\/pl-pl\/\",\"postLink\":\"https:\/\/www.capgemini.com\/pl-pl\/insights\/biblioteka\/ai-in-product-development\/\",\"postId\":924833,\"isSaved\":false,\"isCrossLink\":false,\"hasCrossLink\":false,\"hreflang\":\"\",\"link\":\"\"},{\"uuid\":\"cb2d8668-e037-4e81-b040-46cd65d591b3\",\"blogId\":\"1\",\"domain\":\"www.capgemini.com\",\"sitePath\":\"\/\",\"postLink\":\"https:\/\/www.capgemini.com\/research-and-insight\/ai-in-product-development\/\",\"postId\":1239701,\"isSaved\":true,\"isCrossLink\":false,\"hasCrossLink\":false,\"hreflang\":\"\",\"link\":\"\"}]","cg_seo_canonical_relation":"","cg_seo_hreflang_x_default_relation":"","cg_dt_approved_content":true,"cg_dt_mandatory_content":false,"cg_dt_notes":"","cg_dg_source_changed":false,"cg_dt_link_disabled":false,"footnotes":"","related_resource_url":"","related_resource_id":0,"related_resource_size":"","related_resource_type":"","cg_author":0,"_yoast_wpseo_primary_theme":0,"primary_term":"Data 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