{"id":4303,"date":"2026-04-16T17:37:23","date_gmt":"2026-04-16T17:37:23","guid":{"rendered":"https:\/\/wearehandson.de\/ai-index-2026-handson\/"},"modified":"2026-04-17T14:13:57","modified_gmt":"2026-04-17T14:13:57","slug":"ai-index-2026-handson","status":"publish","type":"post","link":"https:\/\/wearehandson.de\/en\/ai-index-2026-handson\/","title":{"rendered":"AI Index 2026 &#8211; What Stanford Refuses to Name"},"content":{"rendered":"<style>.kb-row-layout-id4303_8f05ea-6b > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id4303_8f05ea-6b > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id4303_8f05ea-6b > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:20px;padding-right:20px;padding-bottom:60px;padding-left:20px;grid-template-columns:minmax(0, 1fr);}.kb-row-layout-id4303_8f05ea-6b{background-color:#FFFFFF;}.kb-row-layout-id4303_8f05ea-6b > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id4303_8f05ea-6b > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}@media all and (max-width: 767px){.kb-row-layout-id4303_8f05ea-6b > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}body:not(.block-editor-page) .kb-row-layout-id1685_2ab4e5-11 { position:relative; overflow:hidden; }body:not(.block-editor-page) .kb-row-layout-id1685_2ab4e5-11::before { content:''; position:absolute; top:-20%; right:-10%; width:55%; height:120%; background:radial-gradient(ellipse at center,rgba(158,0,210,0.12) 0%,transparent 65%); pointer-events:none; z-index:0; }body:not(.block-editor-page) .kb-row-layout-id1685_2ab4e5-11 > .kt-row-column-wrap { position:relative; z-index:1; }<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id4303_8f05ea-6b alignnone kt-row-has-bg wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-1-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column4303_353205-3f > .kt-inside-inner-col,.kadence-column4303_353205-3f > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column4303_353205-3f > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column4303_353205-3f > .kt-inside-inner-col{flex-direction:column;}.kadence-column4303_353205-3f > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column4303_353205-3f > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column4303_353205-3f{position:relative;}@media all and (max-width: 1024px){.kadence-column4303_353205-3f > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column4303_353205-3f > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column4303_353205-3f\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading4303_65b5e2-12, .wp-block-kadence-advancedheading.kt-adv-heading4303_65b5e2-12[data-kb-block=\"kb-adv-heading4303_65b5e2-12\"]{margin-top:0px;margin-bottom:60px;text-align:center;font-size:11px;font-weight:800;font-style:normal;color:#9E00D2;}.wp-block-kadence-advancedheading.kt-adv-heading4303_65b5e2-12 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_65b5e2-12[data-kb-block=\"kb-adv-heading4303_65b5e2-12\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_65b5e2-12 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_65b5e2-12[data-kb-block=\"kb-adv-heading4303_65b5e2-12\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_65b5e2-12, .wp-block-kadence-advancedheading.kt-adv-heading4303_65b5e2-12[data-kb-block=\"kb-adv-heading4303_65b5e2-12\"]{font-size:11px;}}<\/style>\n<h6 class=\"kt-adv-heading4303_65b5e2-12 ho-eyebrow wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_65b5e2-12\">Organization Design for AI \u00b7 Insight<\/h6>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading4303_2302fc-f9, .wp-block-kadence-advancedheading.kt-adv-heading4303_2302fc-f9[data-kb-block=\"kb-adv-heading4303_2302fc-f9\"]{max-width:900px;margin-right:auto;margin-left:auto;margin-top:0px;margin-bottom:20px;text-align:center;font-size:48px;line-height:1.08;font-weight:800;font-style:normal;color:#0A0A0A;}.wp-block-kadence-advancedheading.kt-adv-heading4303_2302fc-f9 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_2302fc-f9[data-kb-block=\"kb-adv-heading4303_2302fc-f9\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_2302fc-f9 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_2302fc-f9[data-kb-block=\"kb-adv-heading4303_2302fc-f9\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_2302fc-f9, .wp-block-kadence-advancedheading.kt-adv-heading4303_2302fc-f9[data-kb-block=\"kb-adv-heading4303_2302fc-f9\"]{font-size:32px;}}<\/style>\n<h1 class=\"kt-adv-heading4303_2302fc-f9 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_2302fc-f9\">What the AI Index 2026 Measures \u2014 and What It Refuses to Name<\/h1>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading4303_ca8411-16, .wp-block-kadence-advancedheading.kt-adv-heading4303_ca8411-16[data-kb-block=\"kb-adv-heading4303_ca8411-16\"]{max-width:720px;margin-right:auto;margin-left:auto;margin-top:0px;margin-bottom:36px;text-align:center;font-size:18px;line-height:1.65;font-weight:400;font-style:normal;color:#8C8C8C;}.wp-block-kadence-advancedheading.kt-adv-heading4303_ca8411-16 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_ca8411-16[data-kb-block=\"kb-adv-heading4303_ca8411-16\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_ca8411-16 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_ca8411-16[data-kb-block=\"kb-adv-heading4303_ca8411-16\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_ca8411-16, .wp-block-kadence-advancedheading.kt-adv-heading4303_ca8411-16[data-kb-block=\"kb-adv-heading4303_ca8411-16\"]{font-size:16px;}}<\/style>\n<h3 class=\"kt-adv-heading4303_ca8411-16 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_ca8411-16\">What 456 pages of Stanford data reveal about the organizational bottleneck \u2014 and what boards should put on the agenda Monday morning.<\/h3>\n\n\n<style>.kb-row-layout-id4303_8c0cf0-3e > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id4303_8c0cf0-3e > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id4303_8c0cf0-3e > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:8px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.kb-row-layout-id4303_8c0cf0-3e > .kt-row-column-wrap > div:not(.added-for-specificity){grid-column:initial;}.kb-row-layout-id4303_8c0cf0-3e > .kt-row-column-wrap{grid-template-columns:repeat(3, minmax(0, 1fr));}.kb-row-layout-id4303_8c0cf0-3e{background-color:transparent;}.kb-row-layout-id4303_8c0cf0-3e > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id4303_8c0cf0-3e > .kt-row-column-wrap{padding-top:8px;padding-right:0px;padding-bottom:0px;padding-left:0px;grid-template-columns:repeat(3, minmax(0, 1fr));}}@media all and (max-width: 1024px){.kb-row-layout-id4303_8c0cf0-3e > .kt-row-column-wrap > div:not(.added-for-specificity){grid-column:initial;}}@media all and (max-width: 767px){.kb-row-layout-id4303_8c0cf0-3e > .kt-row-column-wrap > div:not(.added-for-specificity){grid-column:initial;}.kb-row-layout-id4303_8c0cf0-3e > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id4303_8c0cf0-3e alignnone kt-row-has-bg wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-3-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column4303_770e11-40 > .kt-inside-inner-col,.kadence-column4303_770e11-40 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column4303_770e11-40 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column4303_770e11-40 > .kt-inside-inner-col{flex-direction:column;}.kadence-column4303_770e11-40 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column4303_770e11-40 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column4303_770e11-40{position:relative;}@media all and (max-width: 1024px){.kadence-column4303_770e11-40 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column4303_770e11-40 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column4303_770e11-40\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading4303_06e7b6-8c, .wp-block-kadence-advancedheading.kt-adv-heading4303_06e7b6-8c[data-kb-block=\"kb-adv-heading4303_06e7b6-8c\"]{margin-top:0px;margin-bottom:0px;text-align:center;font-size:11px;font-weight:800;font-style:normal;color:#8C8C8C;}.wp-block-kadence-advancedheading.kt-adv-heading4303_06e7b6-8c mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_06e7b6-8c[data-kb-block=\"kb-adv-heading4303_06e7b6-8c\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_06e7b6-8c img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_06e7b6-8c[data-kb-block=\"kb-adv-heading4303_06e7b6-8c\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_06e7b6-8c, .wp-block-kadence-advancedheading.kt-adv-heading4303_06e7b6-8c[data-kb-block=\"kb-adv-heading4303_06e7b6-8c\"]{font-size:11px;}}<\/style>\n<h6 class=\"kt-adv-heading4303_06e7b6-8c wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_06e7b6-8c\">9 min read<\/h6>\n<\/div><\/div>\n\n\n<style>.kadence-column4303_db731d-68 > .kt-inside-inner-col,.kadence-column4303_db731d-68 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column4303_db731d-68 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column4303_db731d-68 > .kt-inside-inner-col{flex-direction:column;}.kadence-column4303_db731d-68 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column4303_db731d-68 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column4303_db731d-68{position:relative;}@media all and (max-width: 1024px){.kadence-column4303_db731d-68 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column4303_db731d-68 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column4303_db731d-68\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading4303_cd4334-8e, .wp-block-kadence-advancedheading.kt-adv-heading4303_cd4334-8e[data-kb-block=\"kb-adv-heading4303_cd4334-8e\"]{margin-top:0px;margin-bottom:0px;text-align:center;font-size:11px;font-weight:800;font-style:normal;color:#9E00D2;}.wp-block-kadence-advancedheading.kt-adv-heading4303_cd4334-8e mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_cd4334-8e[data-kb-block=\"kb-adv-heading4303_cd4334-8e\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_cd4334-8e img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_cd4334-8e[data-kb-block=\"kb-adv-heading4303_cd4334-8e\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_cd4334-8e, .wp-block-kadence-advancedheading.kt-adv-heading4303_cd4334-8e[data-kb-block=\"kb-adv-heading4303_cd4334-8e\"]{font-size:11px;}}<\/style>\n<h6 class=\"kt-adv-heading4303_cd4334-8e wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_cd4334-8e\">April 16, 2026<\/h6>\n<\/div><\/div>\n\n\n<style>.kadence-column4303_6f5203-9e > .kt-inside-inner-col,.kadence-column4303_6f5203-9e > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column4303_6f5203-9e > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column4303_6f5203-9e > .kt-inside-inner-col{flex-direction:column;}.kadence-column4303_6f5203-9e > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column4303_6f5203-9e > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column4303_6f5203-9e{position:relative;}@media all and (max-width: 1024px){.kadence-column4303_6f5203-9e > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column4303_6f5203-9e > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column4303_6f5203-9e\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading4303_cba0cd-02, .wp-block-kadence-advancedheading.kt-adv-heading4303_cba0cd-02[data-kb-block=\"kb-adv-heading4303_cba0cd-02\"]{margin-top:0px;margin-bottom:0px;text-align:center;font-size:11px;font-weight:800;font-style:normal;color:#8C8C8C;}.wp-block-kadence-advancedheading.kt-adv-heading4303_cba0cd-02 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_cba0cd-02[data-kb-block=\"kb-adv-heading4303_cba0cd-02\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_cba0cd-02 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_cba0cd-02[data-kb-block=\"kb-adv-heading4303_cba0cd-02\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_cba0cd-02, .wp-block-kadence-advancedheading.kt-adv-heading4303_cba0cd-02[data-kb-block=\"kb-adv-heading4303_cba0cd-02\"]{font-size:11px;}}<\/style>\n<h6 class=\"kt-adv-heading4303_cba0cd-02 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_cba0cd-02\">HandsOn Insights<\/h6>\n<\/div><\/div>\n\n<\/div><\/div><\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id4303_fdea93-3e > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id4303_fdea93-3e > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id4303_fdea93-3e > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:40px;padding-right:20px;padding-bottom:60px;padding-left:20px;grid-template-columns:minmax(0, 1fr);}.kb-row-layout-id4303_fdea93-3e{background-color:#FFFFFF;}.kb-row-layout-id4303_fdea93-3e > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id4303_fdea93-3e > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}@media all and (max-width: 767px){.kb-row-layout-id4303_fdea93-3e > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id4303_fdea93-3e alignnone kt-row-has-bg wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-1-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column4303_5a7353-f9 > .kt-inside-inner-col,.kadence-column4303_5a7353-f9 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column4303_5a7353-f9 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column4303_5a7353-f9 > .kt-inside-inner-col{flex-direction:column;}.kadence-column4303_5a7353-f9 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column4303_5a7353-f9 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column4303_5a7353-f9{position:relative;}@media all and (max-width: 1024px){.kadence-column4303_5a7353-f9 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column4303_5a7353-f9 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column4303_5a7353-f9\"><div class=\"kt-inside-inner-col\">\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:19px;font-weight:400;line-height:1.75\">Stanford&#8217;s AI Index 2026 landed on April 13. It is the most thorough accounting of where enterprise AI actually stands \u2014 456 pages of benchmarks, adoption curves, investment flows, and policy data. Read cover-to-cover, it tells a single story.<\/p>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">Private AI investment hit $581.7 billion last year, up 130%. Eighty-eight percent of organizations adopted AI in some form. Agent performance on real-world tasks jumped from 20% to 77.3% in a single year. Consumer adoption passed 53% globally in under three years \u2014 faster than the internet or the personal computer. Then the Index measured something else: the share of enterprises capturing real value from any of it. That number collapsed. Across every chapter, the same pattern repeats. Technical capability is exploding. Deployment is nearly universal. Value capture is stuck.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading4303_1aff93-e6, .wp-block-kadence-advancedheading.kt-adv-heading4303_1aff93-e6[data-kb-block=\"kb-adv-heading4303_1aff93-e6\"]{margin-top:32px;margin-bottom:32px;font-size:24px;line-height:1.35;font-weight:800;font-style:normal;color:#0A0A0A;}.wp-block-kadence-advancedheading.kt-adv-heading4303_1aff93-e6 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_1aff93-e6[data-kb-block=\"kb-adv-heading4303_1aff93-e6\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_1aff93-e6 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_1aff93-e6[data-kb-block=\"kb-adv-heading4303_1aff93-e6\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_1aff93-e6, .wp-block-kadence-advancedheading.kt-adv-heading4303_1aff93-e6[data-kb-block=\"kb-adv-heading4303_1aff93-e6\"]{font-size:22px;}}<\/style>\n<h3 class=\"kt-adv-heading4303_1aff93-e6 ho-pullquote wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_1aff93-e6\">The most important finding in Stanford&#8217;s 456 pages lives in the gap between what got deployed and what got captured \u2014 a gap the report measures everywhere and names nowhere.<\/h3>\n\n\n\n<div style=\"max-width:760px;margin:36px auto 12px;padding:0\">\n<div style=\"width:60px;height:2px;background:linear-gradient(90deg,#9E00D2 0%,transparent 100%);margin:0\"><\/div>\n<\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading4303_46915e-27, .wp-block-kadence-advancedheading.kt-adv-heading4303_46915e-27[data-kb-block=\"kb-adv-heading4303_46915e-27\"]{margin-top:16px;margin-bottom:20px;font-size:32px;line-height:1.2;font-weight:800;font-style:normal;color:#0A0A0A;}.wp-block-kadence-advancedheading.kt-adv-heading4303_46915e-27 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_46915e-27[data-kb-block=\"kb-adv-heading4303_46915e-27\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_46915e-27 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_46915e-27[data-kb-block=\"kb-adv-heading4303_46915e-27\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_46915e-27, .wp-block-kadence-advancedheading.kt-adv-heading4303_46915e-27[data-kb-block=\"kb-adv-heading4303_46915e-27\"]{font-size:26px;}}<\/style>\n<h2 class=\"kt-adv-heading4303_46915e-27 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_46915e-27\">The asymmetry that ends the technology-first debate<\/h2>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">The single cleanest diagnostic in the Index is the consumer-vs-enterprise asymmetry. US consumer surplus from GenAI hit <strong>$172 billion annually in 2025 \u2014 a 54% year-over-year increase<\/strong>, with median per-user value tripling (AI Index 2026, Takeaway 10). Individuals are extracting massive value from the same technology enterprises are failing to monetize. At the same time, the Index reports <strong>agent deployment in single digits across nearly all enterprise functions<\/strong> (Chapter 4, Economy).<\/p>\n\n\n\n<div style=\"background:#0A0A0A;border-radius:8px;padding:36px 32px;margin:28px 0;font-family:Montserrat,sans-serif;position:relative;overflow:hidden\">\n<div style=\"position:absolute;top:-30%;right:-10%;width:45%;height:160%;background:radial-gradient(ellipse at center,rgba(158,0,210,0.28) 0%,transparent 65%);pointer-events:none\"><\/div>\n<div style=\"position:relative;z-index:1\">\n<div style=\"font-size:10px;font-weight:800;letter-spacing:0.14em;text-transform:uppercase;color:#DA6DFF;margin-bottom:10px\">Consumer vs. Enterprise \u00b7 AI Index 2026<\/div>\n<div style=\"font-size:48px;font-weight:800;color:#DA6DFF;line-height:1.05;letter-spacing:-0.03em;margin-bottom:12px\">$172B<\/div>\n<div style=\"font-size:15px;line-height:1.65;color:rgba(255,255,255,0.8);font-weight:400;max-width:600px\">US consumer surplus from GenAI in 2025 \u2014 up 54% year-over-year, with median per-user value tripling. Stanford simultaneously reports agent deployment in single digits across nearly every enterprise function. Same tools. Same models. Radically different outcomes.<\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">The variable is everything that sits between the tool and the work. For individuals, nothing sits there \u2014 a person opens ChatGPT and reorganizes their own workflow on the spot. For enterprises, decades of accumulated structure sit in the way: role definitions, approval chains, departmental boundaries, risk policies, procurement cycles, performance management frameworks. AI lands in that structure and gets absorbed by it. The structure wins.<\/p>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">This is the organizational bottleneck, and it is now measurable.<\/p>\n\n\n\n<div style=\"max-width:760px;margin:36px auto 12px;padding:0\">\n<div style=\"width:60px;height:2px;background:linear-gradient(90deg,#9E00D2 0%,transparent 100%);margin:0\"><\/div>\n<\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading4303_8b1bec-05, .wp-block-kadence-advancedheading.kt-adv-heading4303_8b1bec-05[data-kb-block=\"kb-adv-heading4303_8b1bec-05\"]{margin-top:16px;margin-bottom:20px;font-size:32px;line-height:1.2;font-weight:800;font-style:normal;color:#0A0A0A;}.wp-block-kadence-advancedheading.kt-adv-heading4303_8b1bec-05 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_8b1bec-05[data-kb-block=\"kb-adv-heading4303_8b1bec-05\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_8b1bec-05 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_8b1bec-05[data-kb-block=\"kb-adv-heading4303_8b1bec-05\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_8b1bec-05, .wp-block-kadence-advancedheading.kt-adv-heading4303_8b1bec-05[data-kb-block=\"kb-adv-heading4303_8b1bec-05\"]{font-size:26px;}}<\/style>\n<h2 class=\"kt-adv-heading4303_8b1bec-05 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_8b1bec-05\">Eighty-eight percent adoption moves no one&#8217;s P&amp;L on its own<\/h2>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">Eighty-eight percent adoption sounds like progress until you look at what \u201cadoption\u201d means in the survey data. It means at least one tool in at least one function. McKinsey&#8217;s 2025 State of AI survey \u2014 1,491 participants across 101 countries \u2014 found that <strong>only 21% of organizations using GenAI have redesigned any workflows around it<\/strong> (McKinsey, March 2025). The other 79% are layering AI on top of existing processes. Same org chart, same reporting lines, same decision rights, same sign-off flows. A new tool dropped into an old structure.<\/p>\n\n\n\n<div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(220px,1fr));gap:14px;font-family:Montserrat,sans-serif;margin:28px 0\">\n\n<div style=\"background:#F8F7F5;border-radius:8px;padding:24px 22px\">\n<div style=\"font-size:34px;font-weight:800;color:#9E00D2;line-height:1;letter-spacing:-0.03em;margin-bottom:10px\">21%<\/div>\n<div style=\"font-size:11px;font-weight:800;letter-spacing:0.12em;text-transform:uppercase;color:#0A0A0A;margin-bottom:8px\">Workflow Redesign<\/div>\n<div style=\"font-size:13px;line-height:1.6;color:#464646\">Share of GenAI-using firms that have actually redesigned workflows around the technology (McKinsey).<\/div>\n<\/div>\n\n<div style=\"background:#F8F7F5;border-radius:8px;padding:24px 22px\">\n<div style=\"font-size:34px;font-weight:800;color:#9E00D2;line-height:1;letter-spacing:-0.03em;margin-bottom:10px\">55%<\/div>\n<div style=\"font-size:11px;font-weight:800;letter-spacing:0.12em;text-transform:uppercase;color:#0A0A0A;margin-bottom:8px\">High-Performer Rate<\/div>\n<div style=\"font-size:13px;line-height:1.6;color:#464646\">Workflow-redesign rate inside the firms reporting substantial EBIT impact from GenAI.<\/div>\n<\/div>\n\n<div style=\"background:#F8F7F5;border-radius:8px;padding:24px 22px\">\n<div style=\"font-size:34px;font-weight:800;color:#9E00D2;line-height:1;letter-spacing:-0.03em;margin-bottom:10px\">95%<\/div>\n<div style=\"font-size:11px;font-weight:800;letter-spacing:0.12em;text-transform:uppercase;color:#0A0A0A;margin-bottom:8px\">Zero P&amp;L Impact<\/div>\n<div style=\"font-size:13px;line-height:1.6;color:#464646\">Share of GenAI pilots that deliver no measurable effect on earnings (MIT NANDA, 2025).<\/div>\n<\/div>\n\n<\/div>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">McKinsey&#8217;s next finding settles the debate on what matters: of the 25 organizational attributes they tested, <strong>fundamental workflow redesign ranks first in correlation with EBIT impact from GenAI<\/strong>. High performers redesign workflows at 55%. Average firms redesign at roughly 20%. The gap between capturing AI value and not capturing it is, empirically, a workflow-redesign gap.<\/p>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">MIT NANDA&#8217;s 2025 report pushes the knife further. Based on 52 executive interviews, 153 leader surveys, and 300 public deployments: <strong>95% of generative AI pilots deliver zero measurable P&amp;L impact<\/strong>. MIT&#8217;s diagnosis is explicit \u2014 not model quality, but \u201cflawed enterprise integration\u201d and a \u201clearning gap for both tools and organizations.\u201d Externally sourced tools embedded into specific workflows succeed at 67%. Internally built generic tools succeed at roughly half that rate.<\/p>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">The pattern is consistent across every Tier 1 source that has measured it. Firms that capture AI value differ from firms that don&#8217;t along one axis \u2014 the operating model they deploy technology into. Every credible data set agrees.<\/p>\n\n\n\n<div style=\"max-width:760px;margin:36px auto 12px;padding:0\">\n<div style=\"width:60px;height:2px;background:linear-gradient(90deg,#9E00D2 0%,transparent 100%);margin:0\"><\/div>\n<\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading4303_33a26b-e8, .wp-block-kadence-advancedheading.kt-adv-heading4303_33a26b-e8[data-kb-block=\"kb-adv-heading4303_33a26b-e8\"]{margin-top:16px;margin-bottom:20px;font-size:32px;line-height:1.2;font-weight:800;font-style:normal;color:#0A0A0A;}.wp-block-kadence-advancedheading.kt-adv-heading4303_33a26b-e8 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_33a26b-e8[data-kb-block=\"kb-adv-heading4303_33a26b-e8\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_33a26b-e8 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_33a26b-e8[data-kb-block=\"kb-adv-heading4303_33a26b-e8\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_33a26b-e8, .wp-block-kadence-advancedheading.kt-adv-heading4303_33a26b-e8[data-kb-block=\"kb-adv-heading4303_33a26b-e8\"]{font-size:26px;}}<\/style>\n<h2 class=\"kt-adv-heading4303_33a26b-e8 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_33a26b-e8\">Governance is moving to AI-native frameworks faster than most boards realize<\/h2>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">The Responsible AI chapter of the AI Index 2026 contains one of the most consequential numbers in the report. <strong>The share of organizations with no responsible-AI policies in place fell from 24% to 11% in a single year.<\/strong> AI-specific governance roles grew 17%. Among organizations that do have a governance reference, the shift is structural: <strong>GDPR citations fell from 65% to 60%; ISO\/IEC 42001 adoption reached 36%; NIST AI RMF reached 33%.<\/strong><\/p>\n\n\n\n<div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(220px,1fr));gap:14px;font-family:Montserrat,sans-serif;margin:28px 0\">\n\n<div style=\"background:#F8F7F5;border-radius:8px;padding:24px 22px\">\n<div style=\"font-size:32px;font-weight:800;color:#9E00D2;line-height:1;letter-spacing:-0.03em;margin-bottom:10px\">24 \u2192 11%<\/div>\n<div style=\"font-size:11px;font-weight:800;letter-spacing:0.12em;text-transform:uppercase;color:#0A0A0A;margin-bottom:8px\">Policy Gap Halved<\/div>\n<div style=\"font-size:13px;line-height:1.6;color:#464646\">Organizations with no responsible-AI policy \u2014 more than halved in 12 months (AI Index 2026).<\/div>\n<\/div>\n\n<div style=\"background:#F8F7F5;border-radius:8px;padding:24px 22px\">\n<div style=\"font-size:34px;font-weight:800;color:#9E00D2;line-height:1;letter-spacing:-0.03em;margin-bottom:10px\">36%<\/div>\n<div style=\"font-size:11px;font-weight:800;letter-spacing:0.12em;text-transform:uppercase;color:#0A0A0A;margin-bottom:8px\">ISO\/IEC 42001<\/div>\n<div style=\"font-size:13px;line-height:1.6;color:#464646\">Adoption of the purpose-built AI management system standard \u2014 the governance-migration winner.<\/div>\n<\/div>\n\n<div style=\"background:#F8F7F5;border-radius:8px;padding:24px 22px\">\n<div style=\"font-size:34px;font-weight:800;color:#9E00D2;line-height:1;letter-spacing:-0.03em;margin-bottom:10px\">33%<\/div>\n<div style=\"font-size:11px;font-weight:800;letter-spacing:0.12em;text-transform:uppercase;color:#0A0A0A;margin-bottom:8px\">NIST AI RMF<\/div>\n<div style=\"font-size:13px;line-height:1.6;color:#464646\">Adoption of the US risk management framework \u2014 the second pillar of the new AI governance stack.<\/div>\n<\/div>\n\n<\/div>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">Read that carefully. Governance is migrating from general-purpose data-protection frames to purpose-built AI management systems. ISO\/IEC 42001 is an AI management system standard, distinct in scope and logic from GDPR-style regimes: leadership commitment, risk ownership, continuous monitoring, stakeholder engagement. It is, in substance, an organizational standard wearing a technical cover.<\/p>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">This matters because the EU AI Act lands into this environment. The default move in most Mittelstand boardrooms is to treat AI governance as data protection with extra requirements \u2014 a patch on the old compliance model. The AI Index data shows the market moving differently. The firms building durable governance \u2014 one-third and climbing \u2014 are installing a new category of framework altogether.<\/p>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">The Index also names the real adoption barriers. Top three, from Stanford&#8217;s own data: <strong>knowledge gaps (59%), budget (48%), regulatory uncertainty (41%)<\/strong>. Two of the top three are organizational, not technical. The capabilities layer \u2014 AI literacy, decision rights, change capacity \u2014 is the top-ranked reason adoption stalls. Treating it as a soft add-on is the most expensive mistake programs make.<\/p>\n\n\n\n<div style=\"background:#F8F7F5;border-left:4px solid #9E00D2;border-radius:0 8px 8px 0;padding:28px 32px 28px 36px;margin:28px 0;font-family:Montserrat,sans-serif\">\n<p style=\"font-size:19px;line-height:1.65;color:#0A0A0A;font-weight:500;font-style:italic;margin:0 0 14px\">&ldquo;We have limited data on what separates organizations that achieve massive returns to scale with AI from those that do not. This is a critical area of analysis we intend to explore further.&rdquo;<\/p>\n<p style=\"font-size:11px;font-weight:700;letter-spacing:0.08em;text-transform:uppercase;color:#9E00D2;margin:0\">\u2014 Nestor Maslej, Research Manager \u00b7 Stanford AI Index<\/p>\n<\/div>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">Stanford measures the gap. What sits inside it \u2014 the organizational layer \u2014 the Index has yet to systematically capture.<\/p>\n\n\n\n<div style=\"max-width:760px;margin:36px auto 12px;padding:0\">\n<div style=\"width:60px;height:2px;background:linear-gradient(90deg,#9E00D2 0%,transparent 100%);margin:0\"><\/div>\n<\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading4303_2de6bb-d3, .wp-block-kadence-advancedheading.kt-adv-heading4303_2de6bb-d3[data-kb-block=\"kb-adv-heading4303_2de6bb-d3\"]{margin-top:16px;margin-bottom:20px;font-size:32px;line-height:1.2;font-weight:800;font-style:normal;color:#0A0A0A;}.wp-block-kadence-advancedheading.kt-adv-heading4303_2de6bb-d3 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_2de6bb-d3[data-kb-block=\"kb-adv-heading4303_2de6bb-d3\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_2de6bb-d3 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_2de6bb-d3[data-kb-block=\"kb-adv-heading4303_2de6bb-d3\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_2de6bb-d3, .wp-block-kadence-advancedheading.kt-adv-heading4303_2de6bb-d3[data-kb-block=\"kb-adv-heading4303_2de6bb-d3\"]{font-size:26px;}}<\/style>\n<h2 class=\"kt-adv-heading4303_2de6bb-d3 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_2de6bb-d3\">Task-level gains don&#8217;t add up to firm-level value \u2014 and that is a workflow problem<\/h2>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">The Index reports productivity gains from AI deployment at the task level: <strong>14\u201315% in customer support, 26% in software development, up to 50% in marketing output<\/strong> (Chapter 4, Economy). These are real. They are also not translating to firm-level EBIT. The Index is careful on this point \u2014 it stops short of claiming enterprise productivity translation, noting \u201csmaller gains observed in tasks requiring deeper reasoning.\u201d<\/p>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">The gap between task-level and firm-level is the domain of workflow. A customer support agent who closes tickets 14% faster does not increase firm profit by 14%. The gain has to pass through the workflow \u2014 through queue routing, escalation paths, approval thresholds, performance metrics, headcount planning, capacity decisions \u2014 before it reaches the P&amp;L. Every step of that chain either compounds the gain or absorbs it. Most chains absorb it.<\/p>\n\n\n\n<div style=\"background:#0A0A0A;border-radius:8px;padding:36px 32px;margin:28px 0;font-family:Montserrat,sans-serif;position:relative;overflow:hidden\">\n<div style=\"position:absolute;top:-30%;right:-10%;width:45%;height:160%;background:radial-gradient(ellipse at center,rgba(158,0,210,0.28) 0%,transparent 65%);pointer-events:none\"><\/div>\n<div style=\"position:relative;z-index:1\">\n<div style=\"font-size:10px;font-weight:800;letter-spacing:0.14em;text-transform:uppercase;color:#DA6DFF;margin-bottom:10px\">Where the value lives \u00b7 BCG AI Radar 2026<\/div>\n<div style=\"display:flex;gap:28px;flex-wrap:wrap;align-items:baseline;margin-bottom:14px\">\n<div><div style=\"font-size:40px;font-weight:800;color:rgba(255,255,255,0.45);line-height:1;letter-spacing:-0.03em\">10%<\/div><div style=\"font-size:11px;font-weight:700;color:rgba(255,255,255,0.55);margin-top:6px;letter-spacing:0.08em;text-transform:uppercase\">Algorithms<\/div><\/div>\n<div><div style=\"font-size:40px;font-weight:800;color:rgba(255,255,255,0.55);line-height:1;letter-spacing:-0.03em\">20%<\/div><div style=\"font-size:11px;font-weight:700;color:rgba(255,255,255,0.65);margin-top:6px;letter-spacing:0.08em;text-transform:uppercase\">Data &amp; Tech<\/div><\/div>\n<div><div style=\"font-size:48px;font-weight:800;color:#DA6DFF;line-height:1;letter-spacing:-0.03em\">70%<\/div><div style=\"font-size:11px;font-weight:800;color:#DA6DFF;margin-top:6px;letter-spacing:0.08em;text-transform:uppercase\">People &amp; Process<\/div><\/div>\n<\/div>\n<div style=\"font-size:14.5px;line-height:1.65;color:rgba(255,255,255,0.8);font-weight:400;max-width:600px\">Survey of 2,400 executives including 640 CEOs, January 2026. Only 25% report significant value from AI initiatives. Almost no one is investing where the value lives \u2014 in proportion.<\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">BCG&#8217;s AI Radar 2026 \u2014 a January 2026 survey of 2,400 executives including 640 CEOs \u2014 resolves this into a single line that every board slide should carry: <strong>\u201c10% of AI value comes from algorithms. 20% from data and technology. 70% from people and processes.\u201d<\/strong> Only 25% of executives in BCG&#8217;s sample report significant value from AI initiatives. The 70% is where the value lives. Almost no one is investing there in proportion.<\/p>\n\n\n\n<div style=\"background:#F8F7F5;border-left:4px solid #9E00D2;border-radius:0 8px 8px 0;padding:28px 32px 28px 36px;margin:28px 0;font-family:Montserrat,sans-serif\">\n<p style=\"font-size:19px;line-height:1.65;color:#0A0A0A;font-weight:500;font-style:italic;margin:0 0 14px\">&ldquo;CEOs have a defining role in shaping how AI delivers value. The true competitive advantage lies with those CEOs who will reshape functions end-to-end and invent new products and services that drive growth.&rdquo;<\/p>\n<p style=\"font-size:11px;font-weight:700;letter-spacing:0.08em;text-transform:uppercase;color:#9E00D2;margin:0\">\u2014 Sylvain Duranton, Global Leader \u00b7 BCG X<\/p>\n<\/div>\n\n\n\n<div style=\"max-width:760px;margin:36px auto 12px;padding:0\">\n<div style=\"width:60px;height:2px;background:linear-gradient(90deg,#9E00D2 0%,transparent 100%);margin:0\"><\/div>\n<\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading4303_e4e43f-8b, .wp-block-kadence-advancedheading.kt-adv-heading4303_e4e43f-8b[data-kb-block=\"kb-adv-heading4303_e4e43f-8b\"]{margin-top:16px;margin-bottom:20px;font-size:32px;line-height:1.2;font-weight:800;font-style:normal;color:#0A0A0A;}.wp-block-kadence-advancedheading.kt-adv-heading4303_e4e43f-8b mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_e4e43f-8b[data-kb-block=\"kb-adv-heading4303_e4e43f-8b\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_e4e43f-8b img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_e4e43f-8b[data-kb-block=\"kb-adv-heading4303_e4e43f-8b\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_e4e43f-8b, .wp-block-kadence-advancedheading.kt-adv-heading4303_e4e43f-8b[data-kb-block=\"kb-adv-heading4303_e4e43f-8b\"]{font-size:26px;}}<\/style>\n<h2 class=\"kt-adv-heading4303_e4e43f-8b wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_e4e43f-8b\">What to measure instead of adoption<\/h2>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">The AI Index is good at measuring deployment. It is weaker at measuring absorption \u2014 what happens after deployment, inside the organization, that determines whether the technology produces enterprise value. A useful measurement framework requires six dimensions. What is deliberately absent is a technology domain: technical capability is no longer the binding constraint.<\/p>\n\n\n\n<div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(260px,1fr));gap:14px;font-family:Montserrat,sans-serif;margin:28px 0\">\n\n<div style=\"background:#FFFFFF;border:1px solid #E6E6E6;border-left:3px solid #9E00D2;border-radius:8px;padding:22px 24px\">\n<div style=\"font-size:10px;font-weight:800;letter-spacing:0.14em;text-transform:uppercase;color:#9E00D2;margin-bottom:8px\">D01 \u00b7 Foundation<\/div>\n<div style=\"font-size:15px;font-weight:800;color:#0A0A0A;margin-bottom:8px;letter-spacing:-0.01em\">Strategy &amp; Value<\/div>\n<div style=\"font-size:13px;line-height:1.6;color:#464646\">What outcome is the AI investment supposed to deliver, in P&amp;L terms the CFO can defend? 88% adoption vs. 25% value capture tells you most programs skipped this.<\/div>\n<\/div>\n\n<div style=\"background:#FFFFFF;border:1px solid #E6E6E6;border-left:3px solid #9E00D2;border-radius:8px;padding:22px 24px\">\n<div style=\"font-size:10px;font-weight:800;letter-spacing:0.14em;text-transform:uppercase;color:#9E00D2;margin-bottom:8px\">D02 \u00b7 Foundation<\/div>\n<div style=\"font-size:15px;font-weight:800;color:#0A0A0A;margin-bottom:8px;letter-spacing:-0.01em\">Structure<\/div>\n<div style=\"font-size:13px;line-height:1.6;color:#464646\">Where do AI-related decisions live in the org chart? Who owns them? The Index&#8217;s 17% growth in AI-specific roles is the leading indicator of structural maturity.<\/div>\n<\/div>\n\n<div style=\"background:#FFFFFF;border:1px solid #E6E6E6;border-left:3px solid #9E00D2;border-radius:8px;padding:22px 24px\">\n<div style=\"font-size:10px;font-weight:800;letter-spacing:0.14em;text-transform:uppercase;color:#9E00D2;margin-bottom:8px\">D03 \u00b7 Foundation<\/div>\n<div style=\"font-size:15px;font-weight:800;color:#0A0A0A;margin-bottom:8px;letter-spacing:-0.01em\">System Governance<\/div>\n<div style=\"font-size:13px;line-height:1.6;color:#464646\">Which external framework anchors AI accountability \u2014 ISO\/IEC 42001, NIST AI RMF, or nothing yet? The 36% ISO figure is the forming governance layer.<\/div>\n<\/div>\n\n<div style=\"background:#FFFFFF;border:1px solid #E6E6E6;border-left:3px solid #C600FF;border-radius:8px;padding:22px 24px\">\n<div style=\"font-size:10px;font-weight:800;letter-spacing:0.14em;text-transform:uppercase;color:#C600FF;margin-bottom:8px\">D04 \u00b7 Activation<\/div>\n<div style=\"font-size:15px;font-weight:800;color:#0A0A0A;margin-bottom:8px;letter-spacing:-0.01em\">Decision Architecture<\/div>\n<div style=\"font-size:13px;line-height:1.6;color:#464646\">For each use case: human-in-the-loop, AI-decides-human-reviews, or human-in-the-exception? The single most important design choice missing from every public framework.<\/div>\n<\/div>\n\n<div style=\"background:#FFFFFF;border:1px solid #E6E6E6;border-left:3px solid #C600FF;border-radius:8px;padding:22px 24px\">\n<div style=\"font-size:10px;font-weight:800;letter-spacing:0.14em;text-transform:uppercase;color:#C600FF;margin-bottom:8px\">D05 \u00b7 Activation<\/div>\n<div style=\"font-size:15px;font-weight:800;color:#0A0A0A;margin-bottom:8px;letter-spacing:-0.01em\">Process &amp; Workflow<\/div>\n<div style=\"font-size:13px;line-height:1.6;color:#464646\">Which workflows have been redesigned end-to-end around AI, versus layered? McKinsey&#8217;s 21% is the baseline; 55% is the high-performer target.<\/div>\n<\/div>\n\n<div style=\"background:#FFFFFF;border:1px solid #E6E6E6;border-left:3px solid #C600FF;border-radius:8px;padding:22px 24px\">\n<div style=\"font-size:10px;font-weight:800;letter-spacing:0.14em;text-transform:uppercase;color:#C600FF;margin-bottom:8px\">D06 \u00b7 Activation<\/div>\n<div style=\"font-size:15px;font-weight:800;color:#0A0A0A;margin-bottom:8px;letter-spacing:-0.01em\">Capabilities &amp; Culture<\/div>\n<div style=\"font-size:13px;line-height:1.6;color:#464646\">What does AI literacy look like from the board to the frontline? The 59% knowledge-gap barrier is the capability layer most firms haven&#8217;t built.<\/div>\n<\/div>\n\n<\/div>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">These six domains, taken together, describe the operating model. The AI Index 2026 data is the justification for leaving technology out: agent task performance went from 20% to 77.3% in twelve months. The constraint sits upstream of the tool, in the structure that is supposed to absorb it.<\/p>\n\n\n\n<div style=\"max-width:760px;margin:36px auto 12px;padding:0\">\n<div style=\"width:60px;height:2px;background:linear-gradient(90deg,#9E00D2 0%,transparent 100%);margin:0\"><\/div>\n<\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading4303_c06cf3-61, .wp-block-kadence-advancedheading.kt-adv-heading4303_c06cf3-61[data-kb-block=\"kb-adv-heading4303_c06cf3-61\"]{margin-top:16px;margin-bottom:20px;font-size:32px;line-height:1.2;font-weight:800;font-style:normal;color:#0A0A0A;}.wp-block-kadence-advancedheading.kt-adv-heading4303_c06cf3-61 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_c06cf3-61[data-kb-block=\"kb-adv-heading4303_c06cf3-61\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_c06cf3-61 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_c06cf3-61[data-kb-block=\"kb-adv-heading4303_c06cf3-61\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_c06cf3-61, .wp-block-kadence-advancedheading.kt-adv-heading4303_c06cf3-61[data-kb-block=\"kb-adv-heading4303_c06cf3-61\"]{font-size:26px;}}<\/style>\n<h2 class=\"kt-adv-heading4303_c06cf3-61 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_c06cf3-61\">What to do Monday<\/h2>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">Four decisions separate firms that capture AI value from firms that don&#8217;t. None of them are technology decisions.<\/p>\n\n\n\n<div style=\"display:flex;flex-direction:column;gap:14px;font-family:Montserrat,sans-serif;margin:28px 0\">\n\n<div style=\"background:#FFFFFF;border:1px solid #E6E6E6;border-radius:10px;padding:26px 30px;display:grid;grid-template-columns:80px 1fr;gap:20px;align-items:start\">\n<div>\n<div style=\"font-size:10px;font-weight:800;letter-spacing:0.14em;text-transform:uppercase;color:#9E00D2;margin-bottom:4px\">Q2 \u00b7 Week 1\u20132<\/div>\n<div style=\"font-size:36px;font-weight:800;color:#9E00D2;line-height:1;letter-spacing:-0.03em\">01<\/div>\n<\/div>\n<div>\n<div style=\"font-size:18px;font-weight:800;color:#0A0A0A;margin-bottom:10px;letter-spacing:-0.01em\">Stop reporting adoption. Start reporting the six domains.<\/div>\n<div style=\"font-size:14.5px;line-height:1.7;color:#464646\">The 88% adoption stat is board-friendly and operationally useless. Replace it in the next quarterly review with a maturity profile across the six dimensions. Reframes the conversation from &ldquo;are we using AI&rdquo; to &ldquo;can we absorb what we&#8217;re using.&rdquo;<\/div>\n<\/div>\n<\/div>\n\n<div style=\"background:#FFFFFF;border:1px solid #E6E6E6;border-radius:10px;padding:26px 30px;display:grid;grid-template-columns:80px 1fr;gap:20px;align-items:start\">\n<div>\n<div style=\"font-size:10px;font-weight:800;letter-spacing:0.14em;text-transform:uppercase;color:#9E00D2;margin-bottom:4px\">Q2 \u00b7 Week 3\u20136<\/div>\n<div style=\"font-size:36px;font-weight:800;color:#9E00D2;line-height:1;letter-spacing:-0.03em\">02<\/div>\n<\/div>\n<div>\n<div style=\"font-size:18px;font-weight:800;color:#0A0A0A;margin-bottom:10px;letter-spacing:-0.01em\">Build a Decision Rights Registry for your top ten AI use cases.<\/div>\n<div style=\"font-size:14.5px;line-height:1.7;color:#464646\">For each, answer in writing: who decides, who reviews, what is the autonomy level. The registry forces the structural conversation most programs have avoided \u2014 and the 25% of executives reporting significant AI value (BCG) have largely done this work.<\/div>\n<\/div>\n<\/div>\n\n<div style=\"background:#FFFFFF;border:1px solid #E6E6E6;border-radius:10px;padding:26px 30px;display:grid;grid-template-columns:80px 1fr;gap:20px;align-items:start\">\n<div>\n<div style=\"font-size:10px;font-weight:800;letter-spacing:0.14em;text-transform:uppercase;color:#9E00D2;margin-bottom:4px\">Q2\u2013Q3<\/div>\n<div style=\"font-size:36px;font-weight:800;color:#9E00D2;line-height:1;letter-spacing:-0.03em\">03<\/div>\n<\/div>\n<div>\n<div style=\"font-size:18px;font-weight:800;color:#0A0A0A;margin-bottom:10px;letter-spacing:-0.01em\">Pick one workflow and redesign it end-to-end around AI.<\/div>\n<div style=\"font-size:14.5px;line-height:1.7;color:#464646\">Not a pilot adding an AI tool to an existing process. A redesign that treats the workflow as a blank sheet and asks what it looks like if AI were present from step one. The highest-EBIT-correlation intervention in McKinsey&#8217;s entire data set.<\/div>\n<\/div>\n<\/div>\n\n<div style=\"background:#FFFFFF;border:1px solid #E6E6E6;border-radius:10px;padding:26px 30px;display:grid;grid-template-columns:80px 1fr;gap:20px;align-items:start\">\n<div>\n<div style=\"font-size:10px;font-weight:800;letter-spacing:0.14em;text-transform:uppercase;color:#9E00D2;margin-bottom:4px\">Q3 \u00b7 Board<\/div>\n<div style=\"font-size:36px;font-weight:800;color:#9E00D2;line-height:1;letter-spacing:-0.03em\">04<\/div>\n<\/div>\n<div>\n<div style=\"font-size:18px;font-weight:800;color:#0A0A0A;margin-bottom:10px;letter-spacing:-0.01em\">Put the governance standard question on the next board agenda.<\/div>\n<div style=\"font-size:14.5px;line-height:1.7;color:#464646\">Either commit to an AI-native framework \u2014 ISO\/IEC 42001, NIST AI RMF, or an equivalent \u2014 or keep patching data-protection logic onto a problem it wasn&#8217;t built for. Firms still treating AI governance as extended GDPR will fall out of step within 18 months.<\/div>\n<\/div>\n<\/div>\n\n<\/div>\n\n\n\n<div style=\"max-width:760px;margin:36px auto 12px;padding:0\">\n<div style=\"width:60px;height:2px;background:linear-gradient(90deg,#9E00D2 0%,transparent 100%);margin:0\"><\/div>\n<\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading4303_905274-43, .wp-block-kadence-advancedheading.kt-adv-heading4303_905274-43[data-kb-block=\"kb-adv-heading4303_905274-43\"]{margin-top:16px;margin-bottom:20px;font-size:32px;line-height:1.2;font-weight:800;font-style:normal;color:#0A0A0A;}.wp-block-kadence-advancedheading.kt-adv-heading4303_905274-43 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_905274-43[data-kb-block=\"kb-adv-heading4303_905274-43\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_905274-43 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_905274-43[data-kb-block=\"kb-adv-heading4303_905274-43\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_905274-43, .wp-block-kadence-advancedheading.kt-adv-heading4303_905274-43[data-kb-block=\"kb-adv-heading4303_905274-43\"]{font-size:26px;}}<\/style>\n<h2 class=\"kt-adv-heading4303_905274-43 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_905274-43\">The measurement the Index doesn&#8217;t make<\/h2>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">The AI Index 2026 produces the most comprehensive data set on enterprise AI ever assembled. It also demonstrates the limits of measuring deployment without measuring absorption. Ninety-five percent of pilots produce no P&amp;L impact. Twenty-one percent of AI-using firms have redesigned any workflows. Seventy percent of CEOs claim ownership of AI. Twenty-five percent of firms report significant value. These numbers tell one story. The story has a name.<\/p>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">Enterprise AI is an organizational problem with a technology layer, not a technology problem with an organizational wrapper. The Index measures the technology layer with precision. The organizational layer is where the value lives, and it is measured almost entirely by proxy. Firms that build the operating model \u2014 structure, governance, decision architecture, workflow, capabilities \u2014 capture the gains. Firms that do not continue to deploy, report, and fail to translate.<\/p>\n\n\n\n<p class=\"has-text-color\" style=\"color:#2B2B2B;font-size:17px;line-height:1.8\">The AI Index 2026 will look different in 2027. The gap between deployment and value capture is not sustainable. Either the firms in the 25% expand, or the firms in the 75% accept that eighty-eight percent adoption is just eighty-eight percent adoption.<\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id4303_1220dc-8d > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id4303_1220dc-8d > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id4303_1220dc-8d > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:80px;padding-right:24px;padding-bottom:80px;padding-left:24px;grid-template-columns:minmax(0, 1fr);}.kb-row-layout-id4303_1220dc-8d{background-color:#0A0A0A;}.kb-row-layout-id4303_1220dc-8d > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id4303_1220dc-8d > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}@media all and (max-width: 767px){.kb-row-layout-id4303_1220dc-8d > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}body:not(.block-editor-page) .kb-row-layout-id1685_801a4b-78 { position:relative; overflow:hidden; }body:not(.block-editor-page) .kb-row-layout-id1685_801a4b-78::before { content:''; position:absolute; top:-30%; right:-10%; width:55%; height:160%; background:radial-gradient(ellipse at center,rgba(158,0,210,0.22) 0%,transparent 65%); pointer-events:none; z-index:0; }body:not(.block-editor-page) .kb-row-layout-id1685_801a4b-78 > .kt-row-column-wrap { position:relative; z-index:1; }<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id4303_1220dc-8d alignnone kt-row-has-bg wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-1-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column4303_5177bf-51 > .kt-inside-inner-col,.kadence-column4303_5177bf-51 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column4303_5177bf-51 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column4303_5177bf-51 > .kt-inside-inner-col{flex-direction:column;}.kadence-column4303_5177bf-51 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column4303_5177bf-51 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column4303_5177bf-51{position:relative;}@media all and (max-width: 1024px){.kadence-column4303_5177bf-51 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column4303_5177bf-51 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column4303_5177bf-51\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading4303_145135-2b, .wp-block-kadence-advancedheading.kt-adv-heading4303_145135-2b[data-kb-block=\"kb-adv-heading4303_145135-2b\"]{margin-top:0px;margin-bottom:16px;text-align:center;font-size:11px;font-weight:800;font-style:normal;color:#DA6DFF;}.wp-block-kadence-advancedheading.kt-adv-heading4303_145135-2b mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_145135-2b[data-kb-block=\"kb-adv-heading4303_145135-2b\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_145135-2b img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_145135-2b[data-kb-block=\"kb-adv-heading4303_145135-2b\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_145135-2b, .wp-block-kadence-advancedheading.kt-adv-heading4303_145135-2b[data-kb-block=\"kb-adv-heading4303_145135-2b\"]{font-size:11px;}}<\/style>\n<h6 class=\"kt-adv-heading4303_145135-2b wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_145135-2b\">HandsOn AI Operating Model Diagnostic<\/h6>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading4303_cfbccd-cd, .wp-block-kadence-advancedheading.kt-adv-heading4303_cfbccd-cd[data-kb-block=\"kb-adv-heading4303_cfbccd-cd\"]{margin-top:0px;margin-bottom:18px;text-align:center;font-size:34px;line-height:1.2;font-weight:800;font-style:normal;color:#FFFFFF;}.wp-block-kadence-advancedheading.kt-adv-heading4303_cfbccd-cd mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading4303_cfbccd-cd[data-kb-block=\"kb-adv-heading4303_cfbccd-cd\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading4303_cfbccd-cd img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading4303_cfbccd-cd[data-kb-block=\"kb-adv-heading4303_cfbccd-cd\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading4303_cfbccd-cd, .wp-block-kadence-advancedheading.kt-adv-heading4303_cfbccd-cd[data-kb-block=\"kb-adv-heading4303_cfbccd-cd\"]{font-size:28px;}}<\/style>\n<h2 class=\"kt-adv-heading4303_cfbccd-cd wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading4303_cfbccd-cd\">Where does your organization sit across the six domains?<\/h2>\n\n\n\n<p class=\"has-text-align-center has-text-color\" style=\"color:#B2B2B2;font-size:16px;line-height:1.7\"><p class=\"has-text-align-center has-text-color\" style=\"color:#B2B2B2;font-size:16px;line-height:1.7;max-width:580px;margin-left:auto;margin-right:auto\">A structured three-week engagement built on this exact framework. Maturity profile across all six domains, identification of the organizational bottlenecks, and a prioritized twelve-month roadmap \u2014 what the first move Monday morning looks like.<\/p><\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-5590e8cb wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-white-color has-text-color has-background has-custom-font-size wp-element-button\" href=\"https:\/\/wearehandson.de\/en\/what-we-think\/tools\/maturity-assessment\/\" style=\"border-radius:4px;background-color:#9E00D2;padding-top:14px;padding-right:30px;padding-bottom:14px;padding-left:30px;font-size:12px;font-weight:800;letter-spacing:0.08em;text-transform:uppercase\">Take the Assessment \u2192<\/a><\/div>\n\n\n\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-white-color has-text-color has-background has-border-color has-custom-font-size wp-element-button\" href=\"https:\/\/wearehandson.de\/en\/contact\/\" style=\"border-color:rgba(255,255,255,0.25);border-width:1px;border-radius:4px;background-color:transparent;padding-top:14px;padding-right:30px;padding-bottom:14px;padding-left:30px;font-size:12px;font-weight:700;letter-spacing:0.08em;text-transform:uppercase\">Book a Meeting<\/a><\/div>\n<\/div>\n<\/div><\/div>\n\n<\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Organization Design for AI \u00b7 Insight What the AI Index 2026 Measures \u2014 and What It Refuses to Name What 456 pages of Stanford data reveal about the organizational bottleneck \u2014 and what boards should put on the agenda Monday morning. 9 min read April 16, 2026 HandsOn Insights Stanford&#8217;s AI Index 2026 landed on&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","inline_featured_image":false,"_kadence_starter_templates_imported_post":false,"_kad_post_transparent":"","_kad_post_title":"hide","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[8],"tags":[20,22,25,19,23,24],"class_list":["post-4303","post","type-post","status-publish","format-standard","hentry","category-report","tag-ai-operating-model","tag-bcg-ai-radar","tag-iso-42001","tag-ki-betriebsmodell","tag-mckinsey-state-of-ai","tag-stanford-ai-index"],"_links":{"self":[{"href":"https:\/\/wearehandson.de\/en\/wp-json\/wp\/v2\/posts\/4303","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wearehandson.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wearehandson.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wearehandson.de\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wearehandson.de\/en\/wp-json\/wp\/v2\/comments?post=4303"}],"version-history":[{"count":6,"href":"https:\/\/wearehandson.de\/en\/wp-json\/wp\/v2\/posts\/4303\/revisions"}],"predecessor-version":[{"id":4380,"href":"https:\/\/wearehandson.de\/en\/wp-json\/wp\/v2\/posts\/4303\/revisions\/4380"}],"wp:attachment":[{"href":"https:\/\/wearehandson.de\/en\/wp-json\/wp\/v2\/media?parent=4303"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wearehandson.de\/en\/wp-json\/wp\/v2\/categories?post=4303"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wearehandson.de\/en\/wp-json\/wp\/v2\/tags?post=4303"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}