{"id":14381,"date":"2026-01-16T12:11:12","date_gmt":"2026-01-16T09:11:12","guid":{"rendered":"https:\/\/cse-net.org\/?p=14381"},"modified":"2026-01-20T13:45:19","modified_gmt":"2026-01-20T10:45:19","slug":"how-ai-impacts-corporate-sustainability-data","status":"publish","type":"post","link":"https:\/\/cse-net.org\/es\/how-ai-impacts-corporate-sustainability-data\/","title":{"rendered":"C\u00f3mo afecta la IA a los datos de sostenibilidad de las empresas"},"content":{"rendered":"<p data-start=\"565\" data-end=\"1145\">Los equipos de sostenibilidad corporativa tienen un problema de datos, no de narrativa. Tienen que hacer malabarismos con las emisiones, la energ\u00eda, la actividad de los proveedores, los indicadores de recursos humanos, los registros de riesgos y la informaci\u00f3n narrativa. Luego tienen que vincularlo todo a marcos, controles y plazos. Mientras tanto, las expectativas siguen aumentando. A <a href=\"https:\/\/www.pwc.com\/gx\/en\/issues\/esg\/global-sustainability-reporting-survey.html\" target=\"_blank\" rel=\"noopener\">Encuesta mundial de PwC<\/a> a presi\u00f3n para que se elaboren informes de sostenibilidad sigue aumentando, y el uso de la IA en los informes de sostenibilidad ha crecido r\u00e1pidamente a\u00f1o tras a\u00f1o.<\/p>\n<p data-start=\"1147\" data-end=\"1396\">Por eso la IA est\u00e1 pasando de ser \"algo bonito de tener\" a \"infraestructura de datos\". Cuando se utiliza bien, la IA ayuda a capturar los datos de sostenibilidad con mayor rapidez, validarlos mejor y convertirlos en informaci\u00f3n para la toma de decisiones en la que puedan confiar los departamentos de finanzas, auditor\u00eda y direcci\u00f3n.<\/p>\n<h2 data-start=\"1398\" data-end=\"1444\">Por qu\u00e9 los datos de sostenibilidad se rompen en la vida real<\/h2>\n<p data-start=\"1446\" data-end=\"1699\">La mayor\u00eda de los datos sobre sostenibilidad viven en demasiados sitios. Las facturas de energ\u00eda est\u00e1n en las instalaciones. Compras tiene las listas de proveedores. RRHH posee los datos de la plantilla. Log\u00edstica hace un seguimiento de los kil\u00f3metros recorridos, pero no de las emisiones. Incluso cuando los equipos centralizan los datos, se enfrentan a cuatro problemas recurrentes:<\/p>\n<ul data-start=\"1701\" data-end=\"1962\">\n<li data-start=\"1701\" data-end=\"1775\">\n<p data-start=\"1703\" data-end=\"1775\">Datos de baja calidad (valores que faltan, unidades incoherentes, entradas duplicadas)<\/p>\n<\/li>\n<li data-start=\"1776\" data-end=\"1836\">\n<p data-start=\"1778\" data-end=\"1836\">Procesos manuales (hojas de c\u00e1lculo, correos electr\u00f3nicos, copia de PDF)<\/p>\n<\/li>\n<li data-start=\"1837\" data-end=\"1901\">\n<p data-start=\"1839\" data-end=\"1901\">Complejidad del alcance 3 (miles de proveedores, datos primarios d\u00e9biles)<\/p>\n<\/li>\n<li data-start=\"1902\" data-end=\"1962\">\n<p data-start=\"1904\" data-end=\"1962\">Alineaci\u00f3n de los informes (ISSB, GRI, ESRS, preparaci\u00f3n de garant\u00edas)<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1964\" data-end=\"2050\">Aqu\u00ed es exactamente donde la IA puede ayudar, siempre que se utilice con gobernanza y controles.<\/p>\n<h2 data-start=\"2052\" data-end=\"2106\">Qu\u00e9 mejora realmente la IA en los flujos de datos ESG<\/h2>\n<h3 data-start=\"2108\" data-end=\"2145\">1) Captura de datos m\u00e1s r\u00e1pida y limpia<\/h3>\n<p data-start=\"2146\" data-end=\"2968\">Las plataformas modernas utilizan la IA para reducir la recogida manual y la repetici\u00f3n de tareas. <a href=\"https:\/\/esgnews.com\/tata-motors-tcs-launch-ai-driven-sustainability-platform-to-advance-net-zero-and-esg-reporting\/\" target=\"_blank\" rel=\"noopener\">Tata Motors<\/a> y Tata Consultancy Services anunciaron una plataforma de sostenibilidad impulsada por IA destinada a automatizar la captura de datos ESG en todas las plantas y socios de la cadena de valor, con el objetivo de reducir los cuellos de botella en la presentaci\u00f3n de informes manuales y mejorar la trazabilidad. <a href=\"https:\/\/www.tcs.com\/who-we-are\/newsroom\/press-release\/tcs-partners-with-tata-motors-to-power-future-ready-sustainability-reporting-and-reduce-environmental-impact\" target=\"_blank\" rel=\"noopener\">TCS<\/a> tambi\u00e9n describe las capacidades de su plataforma para obtener informaci\u00f3n sobre la cadena de valor y la cobertura de la red de proveedores, lo cual es importante porque los datos de Alcance 3 suelen fallar antes.<\/p>\n<p data-start=\"2970\" data-end=\"3150\">Qu\u00e9 significa esto para los profesionales: La IA no \"crea\" resultados de sostenibilidad. Reduce la fricci\u00f3n para que su equipo dedique menos tiempo a buscar datos y m\u00e1s a mejorar los resultados.<\/p>\n<h3 data-start=\"3152\" data-end=\"3212\">2) Mejor correspondencia con las normas y las solicitudes de divulgaci\u00f3n<\/h3>\n<p data-start=\"3213\" data-end=\"3811\">La pr\u00f3xima ola de informes ESG es m\u00e1s digital. Las taxonom\u00edas hacen que la informaci\u00f3n sea m\u00e1s legible y f\u00e1cil de comparar. En <a href=\"https:\/\/www.ifrs.org\/projects\/completed-projects\/2024\/ifrs-sustainability-disclosure-taxonomy\/\" target=\"_blank\" rel=\"noopener\">NIIF<\/a> La taxonom\u00eda de divulgaci\u00f3n de la sostenibilidad admite el etiquetado digital de las divulgaciones alineadas con la ISSB. <a href=\"https:\/\/www.globalreporting.org\/news\/news-center\/a-digital-leap-forward-for-sustainability-reporting\/\" target=\"_blank\" rel=\"noopener\">GRI<\/a> tambi\u00e9n ha destacado el cambio hacia la elaboraci\u00f3n de informes de sostenibilidad digitales y la alineaci\u00f3n con ISSB y ESRS.<\/p>\n<p data-start=\"3813\" data-end=\"4025\">La IA ayuda en este sentido clasificando las pruebas, cotejando los campos de datos con los requisitos de divulgaci\u00f3n y acelerando la redacci\u00f3n narrativa. Sin embargo, sigue siendo necesaria la revisi\u00f3n humana, sobre todo para todo lo que vaya a someterse a garant\u00eda.<\/p>\n<h3 data-start=\"4027\" data-end=\"4087\">3) Gesti\u00f3n proactiva de la sostenibilidad con IA ag\u00e9ntica<\/h3>\n<p data-start=\"4088\" data-end=\"4991\">Muchas herramientas hablan ahora de \"IA ag\u00e9ntica\", es decir, IA que puede ejecutar tareas, no s\u00f3lo responder preguntas. <a href=\"https:\/\/esgnews.com\/speeki-to-integrate-agentic-ai-into-esg-platform-for-proactive-sustainability-management\/\" target=\"_blank\" rel=\"noopener\">Speeki<\/a> ha anunciado planes para integrar la IA ag\u00e9ntica en su plataforma ESG, de modo que su asistente digital pueda emprender acciones m\u00e1s orientadas a las tareas y alineadas con las normas de informaci\u00f3n.<\/p>\n<p data-start=\"4088\" data-end=\"4991\"><br data-start=\"4505\" data-end=\"4508\" \/><a href=\"https:\/\/www.se.com\/ww\/en\/about-us\/newsroom\/news\/press-releases\/schneider-electric-announces-multi-year-initiative-building-an-ai-native-ecosystem-for-sustainability-and-energy-management-6825414ce3742327470ccc23\" target=\"_blank\" rel=\"noopener\">Schneider Electric<\/a> tambi\u00e9n ha anunciado una iniciativa plurianual para crear un ecosistema nativo de inteligencia artificial para la gesti\u00f3n de la sostenibilidad y la energ\u00eda, con funciones como el seguimiento de las emisiones, la modelizaci\u00f3n de escenarios y la elaboraci\u00f3n de informes de cumplimiento.<\/p>\n<p data-start=\"4993\" data-end=\"5198\">En la pr\u00e1ctica, la IA ag\u00e9ntica puede supervisar lagunas de datos, se\u00f1alar anomal\u00edas, recomendar flujos de trabajo y coordinar acciones entre equipos. Aun as\u00ed, debe funcionar con permisos claros, registros de auditor\u00eda y reglas de escalado.<\/p>\n<h3 data-start=\"5200\" data-end=\"5256\">4) Mejora de la calidad de los datos y de la confianza en la divulgaci\u00f3n<\/h3>\n<p data-start=\"5257\" data-end=\"5997\">Los directivos relacionan cada vez m\u00e1s la IA con la fiabilidad de los informes. En <a href=\"https:\/\/esgnews.com\/kpmg-2025-ceo-outlook-energy-leaders-turn-to-ai-to-drive-growth-and-sustainability\/\" target=\"_blank\" rel=\"noopener\">KPMG<\/a>de 2025, una gran parte de los l\u00edderes afirmaron que la IA puede mejorar la calidad de los datos de sostenibilidad y la fiabilidad de la divulgaci\u00f3n.<\/p>\n<p data-start=\"5257\" data-end=\"5997\"><br data-start=\"5603\" data-end=\"5606\" \/>Esa confianza es importante porque los informes de sostenibilidad est\u00e1n empezando a parecerse m\u00e1s a los informes financieros: basados en pruebas, controlados y repetibles. <a href=\"https:\/\/esgnews.com\/pwc-survey-finds-rising-pressure-and-value-in-corporate-sustainability-reporting\/\" target=\"_blank\" rel=\"noopener\">PwC<\/a> hace una observaci\u00f3n similar, describiendo la divulgaci\u00f3n de la sostenibilidad como una evoluci\u00f3n hacia lo habitual.<\/p>\n<h2 data-start=\"5999\" data-end=\"6041\">El lado del riesgo: La IA tambi\u00e9n puede da\u00f1ar la confianza<\/h2>\n<p data-start=\"6043\" data-end=\"6102\">La IA tambi\u00e9n puede acelerar los errores. Los riesgos m\u00e1s comunes incluyen:<\/p>\n<ul data-start=\"6104\" data-end=\"6483\">\n<li data-start=\"6104\" data-end=\"6182\">\n<p data-start=\"6106\" data-end=\"6182\">Alucinaciones en contenido narrativo que suena confiado pero carece de pruebas<\/p>\n<\/li>\n<li data-start=\"6183\" data-end=\"6253\">\n<p data-start=\"6185\" data-end=\"6253\">Datos poco fiables, cuando nadie puede explicar de d\u00f3nde procede una cifra.<\/p>\n<\/li>\n<li data-start=\"6254\" data-end=\"6341\">\n<p data-start=\"6256\" data-end=\"6341\">Problemas de privacidad y seguridad cuando los equipos pegan datos sensibles de proveedores o RRHH en las herramientas.<\/p>\n<\/li>\n<li data-start=\"6342\" data-end=\"6414\">\n<p data-start=\"6344\" data-end=\"6414\">Sobreautomatizaci\u00f3n, donde los controles se debilitan porque \"el sistema se encarg\u00f3\"<\/p>\n<\/li>\n<li data-start=\"6415\" data-end=\"6483\">\n<p data-start=\"6417\" data-end=\"6483\">Compensaciones de huella, ya que las cargas de trabajo de IA pueden aumentar la demanda de energ\u00eda.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"6485\" data-end=\"6653\">Una regla pr\u00e1ctica funciona bien: utilizar la IA para acelerar la recopilaci\u00f3n, la clasificaci\u00f3n y el an\u00e1lisis, pero mantener a los humanos responsables de la aprobaci\u00f3n, los controles y la preparaci\u00f3n de la garant\u00eda.<\/p>\n<p data-start=\"6655\" data-end=\"7137\">La documentaci\u00f3n de Microsoft para <a href=\"https:\/\/learn.microsoft.com\/en-us\/industry\/sustainability\/sustainability-manager-copilot-overview\" target=\"_blank\" rel=\"noopener\">Copiloto<\/a> en Sustainability Manager es \u00fatil en este caso, porque enmarca la IA como una forma de consultar datos, crear informes y apoyar los flujos de trabajo, a la vez que se publica informaci\u00f3n responsable. <a href=\"https:\/\/learn.microsoft.com\/en-us\/industry\/sustainability\/sustainability-manager-copilot-responsible-ai\" target=\"_blank\" rel=\"noopener\">Consideraciones y limitaciones de la IA<\/a>.<\/p>\n<h2 data-start=\"7139\" data-end=\"7192\">Un manual sencillo para preparar los datos de sostenibilidad para la IA<\/h2>\n<p data-start=\"7194\" data-end=\"7268\">Si quiere que la IA mejore sus informes ESG, empiece por estas cinco medidas:<\/p>\n<ol data-start=\"7270\" data-end=\"7685\">\n<li data-start=\"7270\" data-end=\"7352\">\n<p data-start=\"7273\" data-end=\"7352\">Construir una \u00fanica fuente de verdad para las principales m\u00e9tricas ASG, con propiedad por m\u00e9trica.<\/p>\n<\/li>\n<li data-start=\"7353\" data-end=\"7433\">\n<p data-start=\"7356\" data-end=\"7433\">Normalizar las unidades, los l\u00edmites y los m\u00e9todos de c\u00e1lculo (especialmente el \u00e1mbito 3).<\/p>\n<\/li>\n<li data-start=\"7434\" data-end=\"7507\">\n<p data-start=\"7437\" data-end=\"7507\">A\u00f1adir controles, pistas de auditor\u00eda y pasos de revisi\u00f3n, como los procesos financieros.<\/p>\n<\/li>\n<li data-start=\"7508\" data-end=\"7605\">\n<p data-start=\"7511\" data-end=\"7605\">Utilice la IA para la clasificaci\u00f3n, la detecci\u00f3n de anomal\u00edas y los primeros borradores, no para la aprobaci\u00f3n final.<\/p>\n<\/li>\n<li data-start=\"7606\" data-end=\"7685\">\n<p data-start=\"7609\" data-end=\"7685\">Adaptar los resultados a las taxonom\u00edas digitales y las normas de elaboraci\u00f3n de informes para reducir la repetici\u00f3n de tareas.<\/p>\n<\/li>\n<\/ol>\n<p data-start=\"7687\" data-end=\"7871\">Aqu\u00ed es donde tambi\u00e9n importa la formaci\u00f3n. Las herramientas cambian r\u00e1pidamente, pero los profesionales que entienden las normas, la mec\u00e1nica del Alcance 3, la materialidad, la gobernanza y la garant\u00eda pueden adaptarse a cualquier plataforma.<\/p>\n<h2 data-start=\"7873\" data-end=\"7937\">\u00danase a la formaci\u00f3n de EE.UU.: convierta la IA en informes ESG listos para la auditor\u00eda<\/h2>\n<p data-start=\"7939\" data-end=\"8415\">Si quiere liderar este cambio, la <strong data-start=\"36\" data-end=\"151\">Curso ESG de Sostenibilidad de EE.UU., Programa Profesional Certificado en Sostenibilidad (ESG), Edici\u00f3n Avanzada (Cohorte 1)<\/strong> est\u00e1 pensado para profesionales que necesitan conocimientos pr\u00e1cticos. El programa incluye <strong data-start=\"237\" data-end=\"266\">10 horas de sesiones en directo<\/strong> a trav\u00e9s de <strong data-start=\"274\" data-end=\"308\">12 y 13 de marzo y 16 de marzo de 2026<\/strong>Dirigido por dos tutores con experiencia local e internacional. Tambi\u00e9n recibir\u00e1 <strong data-start=\"402\" data-end=\"423\">8 semanas de acceso<\/strong> a la plataforma de formaci\u00f3n en l\u00ednea, adem\u00e1s de <strong data-start=\"462\" data-end=\"513\">18 horas de lecturas complementarias y tareas<\/strong>. A medida que avance a trav\u00e9s de los m\u00f3dulos, fortalecer\u00e1 sus capacidades en estrategia de sostenibilidad, calificaciones ESG e informes de sostenibilidad (GRI, SASB, TCFD, ISSB, ESRS), mientras construye conocimientos pr\u00e1cticos sobre sostenibilidad de la cadena de suministro, alcance 3, objetivos basados en la ciencia, cero neto, econom\u00eda circular y comunicaci\u00f3n responsable para evitar el lavado verde.<\/p>\n<p data-start=\"8417\" data-end=\"8503\">Reg\u00edstrese aqu\u00ed: <a class=\"decorated-link\" href=\"https:\/\/cse-net.org\/es\/trainings\/usa-sustainability-esg-course-26-cohort1\/\" target=\"_new\" rel=\"noopener\" data-start=\"8432\" data-end=\"8503\">https:\/\/cse-net.org\/trainings\/usa-sustainability-esg-course-26-cohort1\/<\/a><\/p>\n<p data-start=\"8698\" data-end=\"8954\">","protected":false},"excerpt":{"rendered":"<p>Corporate sustainability teams have a data problem, not a storytelling problem. They juggle emissions, energy, supplier activity, HR indicators, risk registers, and narrative disclosures. Then they must tie everything to frameworks, controls, and deadlines. Meanwhile, expectations keep rising. A PwC global survey found pressure for sustainability reporting continues to increase, and the use of AI [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":14383,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1928,28,33,34,35,1290,1414,1477,1574,1904],"tags":[2470,203,221,310,580,1133,1160,1167,1214,2468],"class_list":["post-14381","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-carbon-border-tax","category-news","category-corporate-sustainability","category-sustainability","category-sustainability-training","category-carbon-reduction-and-product-plc","category-esg-reporting","category-net-zero","category-north-america","category-usa","tag-2026-sustainability-trends","tag-circular-economy","tag-sustainability-training","tag-esg-data","tag-esg-reporting","tag-science-based-targets","tag-net-zero","tag-scope-3-emissions","tag-supply-chain-sustainability","tag-u-s-sustainability"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How AI Impacts Corporate Sustainability Data<\/title>\n<meta name=\"description\" content=\"Explore the top 2026 sustainability trends for U.S. professionals, from Scope 3 and SBTs to circular economy data.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cse-net.org\/es\/how-ai-impacts-corporate-sustainability-data\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How AI Impacts Corporate Sustainability Data\" \/>\n<meta property=\"og:description\" content=\"Explore the top 2026 sustainability trends for U.S. professionals, from Scope 3 and SBTs to circular economy data.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/cse-net.org\/es\/how-ai-impacts-corporate-sustainability-data\/\" \/>\n<meta property=\"og:site_name\" content=\"Center for Sustainbability &amp; Excellence\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/Centre.for.Sustainability.and.Excellence\/\" \/>\n<meta property=\"article:published_time\" content=\"2026-01-16T09:11:12+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-01-20T10:45:19+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cse-net.org\/wp-content\/uploads\/2026\/01\/how-ai-impacts-sustainability-data.png\" \/>\n\t<meta property=\"og:image:width\" content=\"840\" \/>\n\t<meta property=\"og:image:height\" content=\"560\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"cseadm\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@CSE_network\" \/>\n<meta name=\"twitter:site\" content=\"@CSE_network\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"cseadm\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/cse-net.org\\\/how-ai-impacts-corporate-sustainability-data\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/cse-net.org\\\/how-ai-impacts-corporate-sustainability-data\\\/\"},\"author\":{\"name\":\"cseadm\",\"@id\":\"https:\\\/\\\/cse-net.org\\\/#\\\/schema\\\/person\\\/3615f0465d5060787c50f34130070382\"},\"headline\":\"How AI Impacts Corporate Sustainability Data\",\"datePublished\":\"2026-01-16T09:11:12+00:00\",\"dateModified\":\"2026-01-20T10:45:19+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/cse-net.org\\\/how-ai-impacts-corporate-sustainability-data\\\/\"},\"wordCount\":943,\"publisher\":{\"@id\":\"https:\\\/\\\/cse-net.org\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/cse-net.org\\\/how-ai-impacts-corporate-sustainability-data\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/cse-net.org\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/how-ai-impacts-sustainability-data.png\",\"keywords\":[\"2026 sustainability trends\",\"Circular Economy\",\"Sustainability Training\",\"ESG data\",\"ESG Reporting\",\"science-based targets\",\"Net Zero\",\"Scope 3 emissions\",\"Supply chain sustainability\",\"U.S. sustainability\"],\"articleSection\":[\"carbon border tax\",\"News\",\"Corporate sustainability\",\"Sustainability\",\"Sustainability Training\",\"Carbon Reduction and Product PLC\",\"ESG Reporting\",\"net zero\",\"North America\",\"USA\"],\"inLanguage\":\"es\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/cse-net.org\\\/how-ai-impacts-corporate-sustainability-data\\\/\",\"url\":\"https:\\\/\\\/cse-net.org\\\/how-ai-impacts-corporate-sustainability-data\\\/\",\"name\":\"How AI Impacts Corporate Sustainability Data\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/cse-net.org\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/cse-net.org\\\/how-ai-impacts-corporate-sustainability-data\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/cse-net.org\\\/how-ai-impacts-corporate-sustainability-data\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/cse-net.org\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/how-ai-impacts-sustainability-data.png\",\"datePublished\":\"2026-01-16T09:11:12+00:00\",\"dateModified\":\"2026-01-20T10:45:19+00:00\",\"description\":\"Explore the top 2026 sustainability trends for U.S. professionals, from Scope 3 and SBTs to circular economy data.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/cse-net.org\\\/how-ai-impacts-corporate-sustainability-data\\\/#breadcrumb\"},\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/cse-net.org\\\/how-ai-impacts-corporate-sustainability-data\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/cse-net.org\\\/how-ai-impacts-corporate-sustainability-data\\\/#primaryimage\",\"url\":\"https:\\\/\\\/cse-net.org\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/how-ai-impacts-sustainability-data.png\",\"contentUrl\":\"https:\\\/\\\/cse-net.org\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/how-ai-impacts-sustainability-data.png\",\"width\":840,\"height\":560,\"caption\":\"How AI Impacts Sustainability Data\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/cse-net.org\\\/how-ai-impacts-corporate-sustainability-data\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/cse-net.org\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"How AI Impacts Corporate Sustainability Data\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/cse-net.org\\\/#website\",\"url\":\"https:\\\/\\\/cse-net.org\\\/\",\"name\":\"Center for Sustainbability & Excellence\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/cse-net.org\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/cse-net.org\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"es\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/cse-net.org\\\/#organization\",\"name\":\"CSE\",\"url\":\"https:\\\/\\\/cse-net.org\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/cse-net.org\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/cse-net.org\\\/wp-content\\\/uploads\\\/2023\\\/12\\\/cse-logo-n.png\",\"contentUrl\":\"https:\\\/\\\/cse-net.org\\\/wp-content\\\/uploads\\\/2023\\\/12\\\/cse-logo-n.png\",\"width\":1200,\"height\":675,\"caption\":\"CSE\"},\"image\":{\"@id\":\"https:\\\/\\\/cse-net.org\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/Centre.for.Sustainability.and.Excellence\\\/\",\"https:\\\/\\\/x.com\\\/CSE_network\",\"https:\\\/\\\/www.linkedin.com\\\/in\\\/nikos-avlonas-81ab3410\\\/\",\"https:\\\/\\\/www.youtube.com\\\/user\\\/CSEorg\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/cse-net.org\\\/#\\\/schema\\\/person\\\/3615f0465d5060787c50f34130070382\",\"name\":\"cseadm\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/772d54c2c50c66bb1066610c78ec69a846e22fb6547dc313273bc0b2a4bd4429?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/772d54c2c50c66bb1066610c78ec69a846e22fb6547dc313273bc0b2a4bd4429?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/772d54c2c50c66bb1066610c78ec69a846e22fb6547dc313273bc0b2a4bd4429?s=96&d=mm&r=g\",\"caption\":\"cseadm\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"C\u00f3mo afecta la IA a los datos de sostenibilidad de las empresas","description":"Explore las principales tendencias de sostenibilidad de 2026 para los profesionales estadounidenses, desde el Alcance 3 y los SBT hasta los datos de la econom\u00eda circular.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/cse-net.org\/es\/how-ai-impacts-corporate-sustainability-data\/","og_locale":"es_ES","og_type":"article","og_title":"How AI Impacts Corporate Sustainability Data","og_description":"Explore the top 2026 sustainability trends for U.S. professionals, from Scope 3 and SBTs to circular economy data.","og_url":"https:\/\/cse-net.org\/es\/how-ai-impacts-corporate-sustainability-data\/","og_site_name":"Center for Sustainbability &amp; Excellence","article_publisher":"https:\/\/www.facebook.com\/Centre.for.Sustainability.and.Excellence\/","article_published_time":"2026-01-16T09:11:12+00:00","article_modified_time":"2026-01-20T10:45:19+00:00","og_image":[{"width":840,"height":560,"url":"https:\/\/cse-net.org\/wp-content\/uploads\/2026\/01\/how-ai-impacts-sustainability-data.png","type":"image\/png"}],"author":"cseadm","twitter_card":"summary_large_image","twitter_creator":"@CSE_network","twitter_site":"@CSE_network","twitter_misc":{"Escrito por":"cseadm","Tiempo de lectura":"5 minutos"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/cse-net.org\/how-ai-impacts-corporate-sustainability-data\/#article","isPartOf":{"@id":"https:\/\/cse-net.org\/how-ai-impacts-corporate-sustainability-data\/"},"author":{"name":"cseadm","@id":"https:\/\/cse-net.org\/#\/schema\/person\/3615f0465d5060787c50f34130070382"},"headline":"How AI Impacts Corporate Sustainability Data","datePublished":"2026-01-16T09:11:12+00:00","dateModified":"2026-01-20T10:45:19+00:00","mainEntityOfPage":{"@id":"https:\/\/cse-net.org\/how-ai-impacts-corporate-sustainability-data\/"},"wordCount":943,"publisher":{"@id":"https:\/\/cse-net.org\/#organization"},"image":{"@id":"https:\/\/cse-net.org\/how-ai-impacts-corporate-sustainability-data\/#primaryimage"},"thumbnailUrl":"https:\/\/cse-net.org\/wp-content\/uploads\/2026\/01\/how-ai-impacts-sustainability-data.png","keywords":["2026 sustainability trends","Circular Economy","Sustainability Training","ESG data","ESG Reporting","science-based targets","Net Zero","Scope 3 emissions","Supply chain sustainability","U.S. sustainability"],"articleSection":["carbon border tax","News","Corporate sustainability","Sustainability","Sustainability Training","Carbon Reduction and Product PLC","ESG Reporting","net zero","North America","USA"],"inLanguage":"es"},{"@type":"WebPage","@id":"https:\/\/cse-net.org\/how-ai-impacts-corporate-sustainability-data\/","url":"https:\/\/cse-net.org\/how-ai-impacts-corporate-sustainability-data\/","name":"C\u00f3mo afecta la IA a los datos de sostenibilidad de las empresas","isPartOf":{"@id":"https:\/\/cse-net.org\/#website"},"primaryImageOfPage":{"@id":"https:\/\/cse-net.org\/how-ai-impacts-corporate-sustainability-data\/#primaryimage"},"image":{"@id":"https:\/\/cse-net.org\/how-ai-impacts-corporate-sustainability-data\/#primaryimage"},"thumbnailUrl":"https:\/\/cse-net.org\/wp-content\/uploads\/2026\/01\/how-ai-impacts-sustainability-data.png","datePublished":"2026-01-16T09:11:12+00:00","dateModified":"2026-01-20T10:45:19+00:00","description":"Explore las principales tendencias de sostenibilidad de 2026 para los profesionales estadounidenses, desde el Alcance 3 y los SBT hasta los datos de la econom\u00eda circular.","breadcrumb":{"@id":"https:\/\/cse-net.org\/how-ai-impacts-corporate-sustainability-data\/#breadcrumb"},"inLanguage":"es","potentialAction":[{"@type":"ReadAction","target":["https:\/\/cse-net.org\/how-ai-impacts-corporate-sustainability-data\/"]}]},{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/cse-net.org\/how-ai-impacts-corporate-sustainability-data\/#primaryimage","url":"https:\/\/cse-net.org\/wp-content\/uploads\/2026\/01\/how-ai-impacts-sustainability-data.png","contentUrl":"https:\/\/cse-net.org\/wp-content\/uploads\/2026\/01\/how-ai-impacts-sustainability-data.png","width":840,"height":560,"caption":"How AI Impacts Sustainability Data"},{"@type":"BreadcrumbList","@id":"https:\/\/cse-net.org\/how-ai-impacts-corporate-sustainability-data\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/cse-net.org\/"},{"@type":"ListItem","position":2,"name":"How AI Impacts Corporate Sustainability Data"}]},{"@type":"WebSite","@id":"https:\/\/cse-net.org\/#website","url":"https:\/\/cse-net.org\/","name":"Centro de Sostenibilidad y Excelencia","description":"","publisher":{"@id":"https:\/\/cse-net.org\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/cse-net.org\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"es"},{"@type":"Organization","@id":"https:\/\/cse-net.org\/#organization","name":"CSE","url":"https:\/\/cse-net.org\/","logo":{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/cse-net.org\/#\/schema\/logo\/image\/","url":"https:\/\/cse-net.org\/wp-content\/uploads\/2023\/12\/cse-logo-n.png","contentUrl":"https:\/\/cse-net.org\/wp-content\/uploads\/2023\/12\/cse-logo-n.png","width":1200,"height":675,"caption":"CSE"},"image":{"@id":"https:\/\/cse-net.org\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/Centre.for.Sustainability.and.Excellence\/","https:\/\/x.com\/CSE_network","https:\/\/www.linkedin.com\/in\/nikos-avlonas-81ab3410\/","https:\/\/www.youtube.com\/user\/CSEorg"]},{"@type":"Person","@id":"https:\/\/cse-net.org\/#\/schema\/person\/3615f0465d5060787c50f34130070382","name":"cseadm","image":{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/secure.gravatar.com\/avatar\/772d54c2c50c66bb1066610c78ec69a846e22fb6547dc313273bc0b2a4bd4429?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/772d54c2c50c66bb1066610c78ec69a846e22fb6547dc313273bc0b2a4bd4429?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/772d54c2c50c66bb1066610c78ec69a846e22fb6547dc313273bc0b2a4bd4429?s=96&d=mm&r=g","caption":"cseadm"}}]}},"_links":{"self":[{"href":"https:\/\/cse-net.org\/es\/wp-json\/wp\/v2\/posts\/14381","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cse-net.org\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cse-net.org\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cse-net.org\/es\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/cse-net.org\/es\/wp-json\/wp\/v2\/comments?post=14381"}],"version-history":[{"count":3,"href":"https:\/\/cse-net.org\/es\/wp-json\/wp\/v2\/posts\/14381\/revisions"}],"predecessor-version":[{"id":14412,"href":"https:\/\/cse-net.org\/es\/wp-json\/wp\/v2\/posts\/14381\/revisions\/14412"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cse-net.org\/es\/wp-json\/wp\/v2\/media\/14383"}],"wp:attachment":[{"href":"https:\/\/cse-net.org\/es\/wp-json\/wp\/v2\/media?parent=14381"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cse-net.org\/es\/wp-json\/wp\/v2\/categories?post=14381"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cse-net.org\/es\/wp-json\/wp\/v2\/tags?post=14381"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}