{"id":177482,"date":"2025-08-23T12:43:01","date_gmt":"2025-08-23T18:43:01","guid":{"rendered":"https:\/\/canal7slp.tv\/2025\/?p=177482"},"modified":"2025-08-23T12:43:01","modified_gmt":"2025-08-23T18:43:01","slug":"estudio-alerta-sobre-impacto-ambiental-del-uso-intensivo-de-ia","status":"publish","type":"post","link":"https:\/\/canal7slp.tv\/2025\/estudio-alerta-sobre-impacto-ambiental-del-uso-intensivo-de-ia\/","title":{"rendered":"Estudio alerta sobre impacto ambiental del uso intensivo de IA"},"content":{"rendered":"<p style=\"text-align: justify;\">\n<p style=\"text-align: justify;\">Massachusetts.- El creciente uso de inteligencia artificial genera preocupaci\u00f3n por su impacto ambiental debido al alto consumo energ\u00e9tico de los centros de datos que procesan las operaciones. Investigadores se\u00f1alan que cada consulta realizada a sistemas de IA consume significativamente m\u00e1s energ\u00eda que las b\u00fasquedas tradicionales.<\/p>\n<p style=\"text-align: justify;\">Seg\u00fan especialistas del MIT y otras instituciones, los centros de datos que alimentan estos sistemas dependen principalmente de combustibles f\u00f3siles y consumen grandes vol\u00famenes de agua para su refrigeraci\u00f3n. Los m\u00e1s grandes pueden utilizar hasta 18.9 millones de litros diarios, equivalente al consumo de una ciudad de 50,000 habitantes.<\/p>\n<p style=\"text-align: justify;\">Un estudio comparativo muestra que una consulta simple de IA consume 23 veces m\u00e1s energ\u00eda que la misma b\u00fasqueda en Google sin funciones de inteligencia artificial. Las solicitudes complejas pueden requerir hasta 210 veces m\u00e1s energ\u00eda, mientras que la generaci\u00f3n de videos breves implica un consumo energ\u00e9tico equivalente a mantener una bombilla incandescente encendida durante m\u00e1s de un a\u00f1o.<\/p>\n<p style=\"text-align: justify;\">Expertos como Jon Ippolito de la Universidad de Maine explican que, aunque las empresas tecnol\u00f3gicas mejoran la eficiencia de los chips, el efecto neto puede ser mayor consumo debido al incremento en el uso (Paradoja de Jevons).<\/p>\n<p style=\"text-align: justify;\">Los usuarios pueden reducir su huella ambiental mediante estrategias como desactivar funciones de IA cuando no son necesarias, preferir contenido humano sobre generado artificialmente, y utilizar motores de b\u00fasqueda con algoritmos eficientes. Algunas plataformas ofrecen modos de bajo consumo que eliminan datos temporales despu\u00e9s de algunas semanas.<\/p>\n<p style=\"text-align: justify;\">Los investigadores destacan que la IA representa solo una parte del consumo energ\u00e9tico digital, siendo las redes sociales y las criptomonedas responsables de aproximadamente el 85% del uso total de los centros de datos.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Massachusetts.- El creciente uso de inteligencia artificial genera preocupaci\u00f3n por su impacto ambiental debido al alto consumo energ\u00e9tico de los centros de datos que procesan las operaciones. Investigadores se\u00f1alan que cada consulta realizada a sistemas de IA consume significativamente m\u00e1s energ\u00eda que las b\u00fasquedas tradicionales. Seg\u00fan especialistas del MIT y otras instituciones, los centros de datos que alimentan estos sistemas dependen principalmente de combustibles f\u00f3siles y consumen grandes vol\u00famenes de agua para su refrigeraci\u00f3n. Los m\u00e1s grandes pueden utilizar hasta 18.9 millones de litros diarios, equivalente al consumo de una ciudad de 50,000 habitantes. Un estudio comparativo muestra que una [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":177488,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[44],"tags":[],"class_list":["post-177482","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-internacional","post--single"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Estudio alerta sobre impacto ambiental del uso intensivo de IA - Canal 7 SLP - 2025<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/canal7slp.tv\/2025\/estudio-alerta-sobre-impacto-ambiental-del-uso-intensivo-de-ia\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Estudio alerta sobre impacto ambiental del uso intensivo de IA - Canal 7 SLP - 2025\" \/>\n<meta property=\"og:description\" content=\"Massachusetts.- El creciente uso de inteligencia artificial genera preocupaci\u00f3n por su impacto ambiental debido al alto consumo energ\u00e9tico de los centros de datos que procesan las operaciones. Investigadores se\u00f1alan que cada consulta realizada a sistemas de IA consume significativamente m\u00e1s energ\u00eda que las b\u00fasquedas tradicionales. Seg\u00fan especialistas del MIT y otras instituciones, los centros de datos que alimentan estos sistemas dependen principalmente de combustibles f\u00f3siles y consumen grandes vol\u00famenes de agua para su refrigeraci\u00f3n. Los m\u00e1s grandes pueden utilizar hasta 18.9 millones de litros diarios, equivalente al consumo de una ciudad de 50,000 habitantes. 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