{"id":2379,"date":"2025-11-23T19:11:11","date_gmt":"2025-11-23T19:11:11","guid":{"rendered":"https:\/\/elink.cat\/blog\/?p=2379"},"modified":"2025-11-23T19:11:12","modified_gmt":"2025-11-23T19:11:12","slug":"transformacio-o-bombolla-el-roi-real-de-la-intelligencia-artificial-a-lempresa","status":"publish","type":"post","link":"https:\/\/elink.cat\/blog\/transformacio-o-bombolla-el-roi-real-de-la-intelligencia-artificial-a-lempresa\/","title":{"rendered":"Transformaci\u00f3 o bombolla? El ROI real de la intel\u00b7lig\u00e8ncia artificial a l\u2019empresa"},"content":{"rendered":"Temps de lectura: <\/span> 4<\/span> minuts<\/span><\/span>\n

Hi ha un moment, en qualsevol conversa sobre IA amb directius o responsables de projectes, en qu\u00e8 apareix un petit silenci inc\u00f2mode. Normalment passa despr\u00e9s d\u2019una frase com \u201chem fet un pilot intern que ha funcionat molt b\u00e9\u201d o \u201cestem explorant aplicacions d\u2019IA generativa en diversos departaments\u201d. El silenci arriba quan els demanes dues coses molt poc glamuroses: quina \u00e9s la m\u00e8trica de retorn i quina transformaci\u00f3 de processos ha comportat.<\/p>\n\n\n\n

\u00c9s aqu\u00ed on moltes iniciatives es desinflen. No perqu\u00e8 la IA no funcioni, sin\u00f3 perqu\u00e8 la realitat empresarial no encaixa amb el relat optimista que venem des de fa dos anys. Les expectatives s\u00f3n altes, els casos d\u2019\u00fas s\u00f3n inspiradors, els models s\u00f3n impressionants\u2026 per\u00f2 el retorn mesurable continua sent fuga\u00e7.<\/p>\n\n\n\n

En les \u00faltimes setmanes, diversos informes, inclosa l\u2019actualitzaci\u00f3 de la p\u00e0gina \u201cAI boom<\/a>\u201d de Wikipedia, han tornat a insistir en una dada que fa mal: fins al 95% dels projectes d\u2019IA no arriben a producci\u00f3 o no generen ROI positiu. No parlem de fa cinc anys, sin\u00f3 de l\u2019estat actual del mercat. I aix\u00f2 obliga a fer-nos una pregunta inc\u00f2moda: \u00e9s que la tecnologia no est\u00e0 madura o \u00e9s que el que no est\u00e0 madur \u00e9s el context on la volem aplicar?<\/p>\n\n\n\n

La resposta, com gaireb\u00e9 sempre, no \u00e9s bin\u00e0ria. Per\u00f2 s\u00ed que hi ha un patr\u00f3 que es repeteix en totes les empreses que he vist patinant amb IA: confonen provar la tecnologia amb transformar el negoci. I aix\u00f2 \u00e9s un error que es paga amb temps, diners i credibilitat interna.<\/p>\n\n\n\n

Durant el boom inicial del Big Data va passar exactament el mateix. Tothom volia fer prediccions, perfils, models, dashboards. Per\u00f2 nom\u00e9s les empreses que van reordenar dades, processos i responsabilitats van aconseguir valor real. Avui passa el mateix amb la IA generativa i els agents. No hi ha transformaci\u00f3 possible sense una base s\u00f2lida. I aqu\u00ed \u00e9s on comen\u00e7a el malson: dades disperses, processos manuals, departaments que no comparteixen informaci\u00f3, sistemes duplicats, objectius que canvien cada trimestre, i un llarg etc\u00e8tera que tots coneixem massa b\u00e9.<\/p>\n\n\n\n

Aix\u00ed, molts pilots d\u2019IA acaben sent aix\u00f2: pilots. Bonics. Brillants. Per\u00f2 incapa\u00e7os de conviure amb la complexitat del dia a dia. \u00c9s com ensenyar un cotxe aut\u00f2nom a circular perfectament\u2026 dins d\u2019un p\u00e0rquing buit.<\/p>\n\n\n\n

Per\u00f2 no ens enganyem: el problema no \u00e9s la tecnologia. Els models actuals s\u00f3n prou bons com per resoldre tasques de valor tangible. El problema \u00e9s que, per fer-ho, necessiten un terreny de joc que encara no existeix en la majoria d\u2019empreses. Quan l\u2019informe diu que el 95% dels projectes no generen retorn, no parla de models dolents, sin\u00f3 de contextos empresarials que no estan preparats.<\/p>\n\n\n\n

I aqu\u00ed arriba la segona part del problema: el cost del hype. La pressi\u00f3 per \u201cfer alguna cosa amb IA\u201d ha generat un teatre corporatiu digne d\u2019una s\u00e8rie de Netflix. Presentacions plenes de paraules com \u201ccopilot\u201d, \u201cagent\u201d, \u201cproductivitat augmentada\u201d, \u201cautomatitzaci\u00f3 avan\u00e7ada\u201d. V\u00eddeos interns on models brillants fan coses espectaculars\u2026 sempre en demos perfectament preparades. Projectes que comencen perqu\u00e8 toca comen\u00e7ar-ne algun. Pressupostos que es tanquen sense una sola m\u00e8trica clara. I sobretot, inversions que es fan per imitaci\u00f3, m\u00e9s que per necessitat real.<\/p>\n\n\n\n

Aquesta din\u00e0mica \u00e9s la que genera la sensaci\u00f3 de bombolla. No perqu\u00e8 els models siguin una moda passatgera, sin\u00f3 perqu\u00e8 l\u2019adopci\u00f3 corporativa est\u00e0 plena d\u2019iniciatives que no tenen connexi\u00f3 amb resultats reals. \u00c9s una bombolla d\u2019expectatives, no de tecnologia.<\/p>\n\n\n\n

Quan analitzem les empreses que s\u00ed estan generant retorn, el patr\u00f3 \u00e9s molt diferent. Normalment s\u00f3n companyies que fa anys que treballen seriosament la seva arquitectura de dades. Tenen clar qui \u00e9s responsable de qu\u00e8, disposen d\u2019uns processos m\u00ednimament estandarditzats i tenen una cultura d\u2019avaluaci\u00f3 objectiva. A m\u00e9s, comencen per on toca: punts de fricci\u00f3 on l\u2019IA pot estalviar diners, retallar temps o millorar fiabilitat.<\/p>\n\n\n\n

La difer\u00e8ncia \u00e9s que aquestes empreses no fan pilots: fan producte. No fan demos: fan processos. No fan un \u201ccas d\u2019\u00fas\u201d: fan un canvi sist\u00e8mic.<\/p>\n\n\n\n

I aix\u00f2 contrasta molt amb empreses que volen IA generativa sense haver resolt primer problemes b\u00e0sics: unifica les dades, documenta els processos, defineix els KPI i crea un equip de producte que pugui sostenir el canvi. Sense aix\u00f2, la IA nom\u00e9s \u00e9s un adorn, una frase bonica a usar en presentacions executives.<\/p>\n\n\n\n

Les empreses que aconsegueixen ROI tamb\u00e9 tenen una altra caracter\u00edstica en com\u00fa: no esperen l\u2019efecte \u201cwow\u201d. Busquen canvis petits, sostinguts i verificables. Un forecast<\/em> que millora un 3%. Un flux operatiu que passa de 7 minuts a 3. Una reducci\u00f3 d\u2019errors del 20%. Un agent intern que resol el 40% de tickets sense intervenci\u00f3 humana. No cal m\u00e0gia: cal disciplina.<\/p>\n\n\n\n

Tamb\u00e9 veiem l\u2019altre extrem. Empreses que anuncien grans transformacions d\u2019IA sense ni tan sols haver classificat les dades que utilitzaran. Projectes que prometen estalvis milionaris sense calcular el cost real d\u2019integraci\u00f3. Estrat\u00e8gies que pengen d\u2019un sol prove\u00efdor, d\u2019un sol consultor o d\u2019un sol \u201ccopilot\u201d generatiu que, a la pr\u00e0ctica, ning\u00fa no utilitza. Aquests casos s\u00f3n els que, d\u2019aqu\u00ed dos anys, alimentaran titulars sobre \u201cla bombolla de la IA\u201d. I \u00e9s un error atribu\u00efble m\u00e9s a gesti\u00f3 que a tecnologia.<\/p>\n\n\n\n

La pregunta important \u00e9s: quin escenari veurem en els pr\u00f2xims mesos?<\/p>\n\n\n\n

\u00c9s improbable que esclati una bombolla tecnol\u00f2gica. La demanda \u00e9s real, els models s\u00f3n \u00fatils i el ritme d\u2019innovaci\u00f3 \u00e9s consistent. El risc \u00e9s que esclati la bombolla corporativa: la dels projectes sense retorn, la de les expectatives inflades, la dels pressupostos mal justificats.<\/p>\n\n\n\n

Si aix\u00f2 passa, veurem un cicle de \u201cdescompressi\u00f3\u201d molt familiar: menys anuncis grandiloq\u00fcents, menys experiments sense sentit i m\u00e9s demandes de resultats tangibles. Les empreses que hagin fet els deures (dades, processos, responsabilitats, governan\u00e7a) sortiran refor\u00e7ades. Les que no ho hagin fet, s\u2019adonaran que la IA no \u00e9s una vareta m\u00e0gica sin\u00f3 una capa m\u00e9s d\u2019una cadena de decisions que comen\u00e7a molt abans.<\/p>\n\n\n\n

L\u2019escenari positiu \u00e9s evident. Quan una empresa fa la feina lenta i avorrida, la IA genera retorn. No calen grans promeses: calen fonaments. I al cap i a la fi, potser el veritable avantatge competitiu dels pr\u00f2xims anys ser\u00e0 simplement tenir les coses ordenades.<\/p>\n\n\n\n

La q\u00fcesti\u00f3 de fons, i la que haurem d\u2019afrontar els propers mesos, \u00e9s aquesta: volem fer transformaci\u00f3 real o volem fer innovaci\u00f3 cosm\u00e8tica? Perqu\u00e8 la IA ja comen\u00e7a a ser prou madura. El que no est\u00e0 clar \u00e9s si nosaltres tamb\u00e9 ho estem.<\/p>\n","protected":false},"excerpt":{"rendered":"

Temps de lectura: <\/span> 4<\/span> minuts<\/span><\/span>Hi ha un moment, en qualsevol conversa sobre IA amb directius o responsables de projectes, en qu\u00e8 apareix un petit silenci inc\u00f2mode. Normalment passa despr\u00e9s d\u2019una frase com \u201chem fet<\/p>\n","protected":false},"author":1,"featured_media":2384,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_crdt_document":"","breadcrumbs_single_post":"","page_title_panel":"","breadcrumbs_single_page":"","single_page_alignment":"","single_page_margin":"","page_structure_type":"","content_style_source":"","content_style":"","blog_post_streched_ed":"","blog_page_streched_ed":"","has_transparent_header":"","disable_transparent_header":"","vertical_spacing_source":"","content_area_spacing":"","single_post_content_background":"","single_page_content_background":"","single_post_boxed_content_spacing":"","single_page_boxed_content_spacing":"","single_post_content_boxed_radius":"","single_page_content_boxed_radius":"","disable_featured_image":"","disable_post_tags":"","disable_author_box":"","disable_posts_navigation":"","disable_comments":"","disable_related_posts":"","disable_header":"","disable_footer":"","footnotes":""},"categories":[27],"tags":[],"class_list":["post-2379","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aplicacions","rishi-post"],"yoast_head":"\nTransformaci\u00f3 o bombolla? 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