{"id":6699,"date":"2026-04-03T08:26:25","date_gmt":"2026-04-03T00:26:25","guid":{"rendered":"https:\/\/moresourcing.com\/strategy-summit-2026-whos-going-to-succeed-with-ai\/"},"modified":"2026-04-03T08:26:25","modified_gmt":"2026-04-03T00:26:25","slug":"strategy-summit-2026-whos-going-to-succeed-with-ai","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/es\/strategy-summit-2026-whos-going-to-succeed-with-ai\/","title":{"rendered":"\u00bfQui\u00e9n tendr\u00e1 \u00e9xito con la IA?"},"content":{"rendered":"<p><\/p>\n<div id=\"transcript-section\">\n        <!-- let's remove the TRANSCRIPT header --><\/p>\n<p>ALISON BEARD: Soy Alison Beard y este es el HBR. <em>IdeaCast.<\/em> Harvard Business Review organiz\u00f3 recientemente la HBR Strategy Summit 2026, un d\u00eda lleno de consejos y orientaci\u00f3n de expertos de ejecutivos y acad\u00e9micos.<em> IdeaCast<\/em> serie.<\/p>\n<p>Hoy, nuestro \u00faltimo episodio de la serie es una clase magistral de Andy McAfee, cient\u00edfico investigador principal del MIT y cofundador y codirector de la Iniciativa del MIT sobre Econom\u00eda Digital en su Sloan School of Management.<\/p>\n<p>ANDREW MCAFEE: Quiero hablar sobre un tema que mucha gente tiene en mente estos d\u00edas.<\/p>\n<p>Sin embargo, una encuesta reciente realizada a muchos directores ejecutivos de todo el mundo dice: \"No tan r\u00e1pido\".<\/p>\n<p>Estamos en esta era de profunda, profunda incertidumbre.<\/p>\n<p>Me encanta la forma en que Derek Thompson lo enmarc\u00f3 en su Substack ayer.<\/p>\n<p>\u00bfQu\u00e9 haces en una era en la que potencialmente hay grandes problemas?<\/p>\n<p>Quiero proponer un manual muy simple de tres partes para tener \u00e9xito con la IA en las circunstancias en las que nos encontramos ahora, donde nadie sabe nada.<\/p>\n<p>La segunda parte realmente importante del manual de IA cuando nadie sabe nada me la ense\u00f1\u00f3 Steve Jurvetson, quien fue un muy buen capitalista de riesgo en los inicios de SpaceX y Tesla.<\/p>\n<p>El principal problema de la cascada es que no funciona.<\/p>\n<p>Cuando entrevist\u00e9 a Steve para The Geek Way... Y estaba incre\u00edblemente ansioso por entrevistarlo porque hace unos 10 a\u00f1os lo conoc\u00ed en Silicon Valley en una conferencia.<\/p>\n<p>Y lo que Steve me dijo es: \"Andy, tienes que entender las empresas de mi ecosistema, la forma en que aprendimos a crear software, la forma \u00e1gil en que comenzamos a crear software hace unos 25 a\u00f1os, esa es ahora la forma \u00e1gil en que construimos todo\".<\/p>\n<p>Como muchos de nosotros sabemos, entramos en esta nueva era de la ingenier\u00eda de software, de la codificaci\u00f3n, hace apenas un par de meses, con el lanzamiento de algunos de estos incre\u00edbles modelos que son tan buenos codificando.<\/p>\n<p>Y en Workhelix, lo que hemos descubierto en cada una de las empresas con las que hemos trabajado es que la distribuci\u00f3n del uso de la IA sigue una forma muy, muy particular.<\/p>\n<p>Ahora, para nosotros, eso implica una oportunidad gigantesca.<\/p>\n<p>El enfoque de planificaci\u00f3n intensa para la reimaginaci\u00f3n o la reingenier\u00eda dice: \"Mira, re\u00fane a un grupo de las personas m\u00e1s inteligentes que puedas encontrar en una habitaci\u00f3n con una pizarra. Haz un diagrama de c\u00f3mo se va a realizar el trabajo en el nuevo mundo de la IA\".<\/p>\n<p>Es principalmente un proceso ascendente apoyado desde arriba.<\/p>\n<p>ADI IGNATIUS: Andy, eso fue genial y muy provocativo.<\/p>\n<p>ANDREW MCAFEE: Estamos haciendo esto.<\/p>\n<p>ADI IGNATIUS: Podemos experimentar nuestro camino hacia ello.<\/p>\n<p>ANDREW MCAFEE: Soy un tecno optimista, Adi, como sabes, pero no tenemos que tomar la IA simplemente por fe.<\/p>\n<p>N\u00famero uno, \u00bfla tecnolog\u00eda en s\u00ed mejora r\u00e1pidamente?<\/p>\n<p>Entonces, el tercer criterio es: \u00bfsigue confinado a uno o dos sectores, una o dos econom\u00edas, o se empieza a ver que se utiliza en toda la econom\u00eda?<\/p>\n<p>ADI IGNATIUS: Muy bien.<\/p>\n<p>ANDREW MCAFEE: S\u00ed.<\/p>\n<p>Estamos empezando a obtener evidencia decente sobre esto al observar los lugares donde la IA se ha utilizado m\u00e1s intensamente, que fue en la redacci\u00f3n de software.<\/p>\n<p>Tambi\u00e9n escuch\u00e9 a gente decir que la habilidad de administrar una flota de agentes es muy parecida a la habilidad de ser un muy buen gerente, especialmente en un campo de alta tecnolog\u00eda o un gerente de producto.<\/p>\n<p>ADI IGNATIUS: Entonces hablemos de eso.<\/p>\n<p>ANDREW MCAFEE: Entonces, un agente de software es simplemente una pieza de tecnolog\u00eda a la que no hay que darle tanta importancia como estamos acostumbrados.<\/p>\n<p>Y muy r\u00e1pidamente, con el tiempo, hay cada vez m\u00e1s progreso y cada vez menos errores.<\/p>\n<p>ADI IGNATIUS: Mi barrera de seguridad ser\u00eda: le dar\u00eda al robot mi tarjeta de cr\u00e9dito.<\/p>\n<p>ANDREW MCAFEE: Bien.<\/p>\n<p>ADI IGNATIUS: Eso no est\u00e1 sucediendo.<\/p>\n<p>ANDREW MCAFEE: S\u00ed, hay un par de partes fascinantes en esa pregunta.<\/p>\n<p>Ahora bien, la raz\u00f3n por la que participa en todo ese uso y la raz\u00f3n por la que paga a sus proveedores de IA es porque desea mejorar algunas medidas de rendimiento.<\/p>\n<p>Entonces, hay partes del trabajo del conocimiento que en realidad son bastante complicadas de medir, no imposibles, pero son un poco m\u00e1s sutiles.<\/p>\n<p>ADI IGNATIUS: Entonces, una de las cuestiones que deja a la gente esc\u00e9ptica es el fracaso del trabajo.<\/p>\n<p>ANDREW MCAFEE: Es un problema y es un poco de todo lo anterior.<\/p>\n<p>Una organizaci\u00f3n enfocada en procesos es: \u00bftrajo todos sus entregables a la siguiente reuni\u00f3n?<\/p>\n<p>En las organizaciones impulsadas por procesos, creo que el volumen de trabajo pendiente ya ser\u00e1 bastante alto y, desafortunadamente, probablemente aumentar\u00e1.<\/p>\n<p>ADI IGNATIUS: Aqu\u00ed hay una pregunta que se remonta a su conversaci\u00f3n sobre \u00e1gil versus cascada.<\/p>\n<p>ANDREW MCAFEE: Vaya.<\/p>\n<p>Parte de esto es comprender la diferencia entre puertas unidireccionales y puertas bidireccionales y ser muy claro al respecto.<\/p>\n<p>ADI IGNATIUS: Quiero hablarte sobre el talento.<\/p>\n<p>ANDREW MCAFEE: La raz\u00f3n por la que muchas empresas retiraron la contrataci\u00f3n de nivel inicial es porque anticipaban mucha automatizaci\u00f3n a trav\u00e9s de la IA.<\/p>\n<p>Hay una gran ca\u00edda demogr\u00e1fica.<\/p>\n<p>ALISON BEARD: Ese fue Andy McAfee, cient\u00edfico investigador del MIT, dando una clase magistral como parte de la reciente Cumbre de Estrategia 2026 de HBR.<\/p>\n<p>Si este episodio le result\u00f3 \u00fatil, comp\u00e1rtalo con un colega y aseg\u00farese de suscribirse y calificarlo. <em>IdeaCast<\/em> en Apple Podcast, Spotify o dondequiera que escuches.<\/p>\n<p>Obtendr\u00e1 acceso a la aplicaci\u00f3n m\u00f3vil de HBR, al bolet\u00edn informativo semanal exclusivo y acceso ilimitado a HBR en l\u00ednea. <em>IdeaCast.<\/em> Volveremos con un episodio regular el martes.<\/p>\n<\/p><\/div>\n<p>#Qui\u00e9n #triunfa<\/p>","protected":false},"excerpt":{"rendered":"<p>ALISON BEARD: Soy Alison Beard y este es HBR 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