{"id":17797,"date":"2026-10-16T09:11:54","date_gmt":"2026-10-16T07:11:54","guid":{"rendered":"https:\/\/neodatagroup.ai\/?p=17797"},"modified":"2026-10-16T09:11:56","modified_gmt":"2026-10-16T07:11:56","slug":"eight-things-to-know-about-the-value-of-agentic-ai-from-bcg","status":"publish","type":"post","link":"https:\/\/neodatagroup.ai\/it\/eight-things-to-know-about-the-value-of-agentic-ai-from-bcg\/","title":{"rendered":"Otto cose da sapere sul valore dell\u2019IA agentica secondo BCG"},"content":{"rendered":"<h2 class=\"simpletoc-title\">Indice<\/h2>\n<ul class=\"simpletoc-list\">\n<li><a href=\"#1-the-value-is-there-but-it-is-hard-to-measure\">1. Il valore c\u2019\u00e8, ma si misura a fatica.<\/a>\n<\/li>\n<li><a href=\"#2-agentic-ai-carries-more-and-more-weight\">2. L\u2019IA agentica pesa sempre di pi\u00f9.<\/a>\n<\/li>\n<li><a href=\"#3-agents-are-growing-faster-than-the-controls\">3. Gli agenti crescono pi\u00f9 in fretta dei controlli.<\/a>\n<\/li>\n<li><a href=\"#4-70-of-the-work-concerns-people\">4. Il 70% del lavoro riguarda le persone.<\/a>\n<\/li>\n<li><a href=\"#5-the-advantage-has-shifted-to-data\">5. Il vantaggio si \u00e8 spostato sui dati.<\/a>\n<\/li>\n<li><a href=\"#6-the-right-cost-is-cost-per-outcome\">6. Il costo giusto \u00e8 quello per risultato.<\/a>\n<\/li>\n<li><a href=\"#7-the-winners-are-faster-and-more-focused\">7. Vince chi \u00e8 pi\u00f9 veloce e pi\u00f9 mirato.<\/a>\n<\/li>\n<li><a href=\"#8-sector-does-not-decide-the-outcome\">8. Il settore non decide il risultato.<\/a>\n<\/li><\/ul>\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Molte aziende hanno gi\u00e0 portato un agente in produzione. Poche sanno dire quanto vale a bilancio, e ancora meno hanno messo in piedi i controlli per quando quell\u2019agente dovr\u00e0 decidere da solo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00c8 il quadro che emerge dall\u2019Applied AI Index 2026 di BCG, un\u2019indagine su 1.330 dirigenti in oltre 20 settori. Ne abbiamo estratto i dati pi\u00f9 utili per chi deve decidere dove investire nei prossimi dodici mesi.<\/p>\n\n\n\n<h2 id=\"1-the-value-is-there-but-it-is-hard-to-measure\" class=\"wp-block-heading\"><strong>1. Il valore c\u2019\u00e8, ma si misura a fatica.<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Quasi met\u00e0 delle aziende genera gi\u00e0 valore misurabile dall\u2019IA, e quasi nove CEO su dieci vedono benefici di costo o di ricavo. Solo il 14% di loro, per\u00f2, ha definito l\u2019impatto a P&amp;L di ogni iniziativa.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Il report divide le aziende per maturit\u00e0. Tra le pi\u00f9 mature, le future-built (il 7,5% del campione), il 95% usa KPI chiari o traccia il valore direttamente sul P&amp;L. Tra le meno mature, i laggard, il 47% lo valuta in modo qualitativo, al massimo. La differenza si vede nei risultati: chi traccia l\u2019impatto direttamente a P&amp;L ottiene fino a tre volte il valore di chi non misura. Il vantaggio cresce quando alla misura si somma una strategia chiara: le aziende che hanno insieme chiarezza strategica e IA applicata ottengono cinque volte il valore (4,5% dei ricavi) di quelle che non hanno nessuna delle due (0,9%).<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1008\" height=\"557\" src=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image.png\" alt=\"\" class=\"wp-image-17799\" style=\"aspect-ratio:1.8131147540983608;width:553px;height:auto\" srcset=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image.png 1008w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-300x166.png 300w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-767x424.png 767w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-18x10.png 18w\" sizes=\"(max-width: 1008px) 100vw, 1008px\" \/><\/figure>\n\n\n\n<h2 id=\"2-agentic-ai-carries-more-and-more-weight\" class=\"wp-block-heading\"><strong>2. L\u2019IA agentica pesa sempre di pi\u00f9.<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">La quota di valore agentico \u00e8 salita dal 17% del 2025 al 22% del 2026 e, secondo il report, arriver\u00e0 al 39% nel 2030. Tra le future-built il 44% dichiara gi\u00e0 pieno valore dagli agenti, contro il 2% dei laggard.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img decoding=\"async\" width=\"460\" height=\"455\" src=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-1.png\" alt=\"\" class=\"wp-image-17800\" style=\"aspect-ratio:1.0116959064327486;width:346px;height:auto\" srcset=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-1.png 460w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-1-12x12.png 12w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-1-300x297.png 300w\" sizes=\"(max-width: 460px) 100vw, 460px\" \/><\/figure>\n\n\n\n<h2 id=\"3-agents-are-growing-faster-than-the-controls\" class=\"wp-block-heading\"><strong>3. Gli agenti crescono pi\u00f9 in fretta dei controlli.<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Il 42% delle aziende si aspetta che entro il 2030 i propri agenti agiscano in autonomia, per esempio prendendo decisioni senza approvazione umana. Solo il 5% ha oggi i controlli per farlo in sicurezza.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">I controlli non frenano il valore, lo aumentano. Le aziende che li applicano tutti a livello aziendale ottengono dall\u2019IA agentica l\u20191,8% dei ricavi. Quelle che ne applicano uno solo si fermano allo 0,5%. I sei controlli indicati da BCG sono: memoria e contesto, ambito e supervisione, valutazione e rollback, integrazione degli strumenti, responsabilit\u00e0, sicurezza.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tra i sei, i pi\u00f9 determinanti sono memoria e contesto, cio\u00e8 le regole su cosa un agente ricorda e riutilizza tra un\u2019attivit\u00e0 e l\u2019altra. Spiega da solo il 32% del valore che i controlli generano.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img decoding=\"async\" width=\"983\" height=\"572\" src=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-2.png\" alt=\"\" class=\"wp-image-17801\" style=\"aspect-ratio:1.7201166180758019;width:590px;height:auto\" srcset=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-2.png 983w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-2-300x175.png 300w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-2-766x446.png 766w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-2-18x10.png 18w\" sizes=\"(max-width: 983px) 100vw, 983px\" \/><\/figure>\n\n\n\n<h2 id=\"4-70-of-the-work-concerns-people\" class=\"wp-block-heading\"><strong>4. Il 70% del lavoro riguarda le persone.<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Regola 10-20-70: il 10% dello sforzo va agli algoritmi, il 20% alla tecnologia e ai dati, il resto alle persone, all'organizzazione e ai processi. Il 55% delle future-built fa pianificazione strategica della forza lavoro, contro il 17% dei laggard. L\u201989% delle aziende si aspetta che l\u2019IA generi nuovo lavoro; la riduzione prevista \u00e8 del 10-15%, concentrata nei livelli intermedi. Un team di 1.000 ingegneri con produttivit\u00e0 ferma a +10% ha portato i power user dal 5% al 50% con sei settimane di coaching.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"446\" height=\"657\" src=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-3.png\" alt=\"\" class=\"wp-image-17803\" style=\"aspect-ratio:0.6795698924731183;width:316px;height:auto\" srcset=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-3.png 446w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-3-204x300.png 204w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-3-8x12.png 8w\" sizes=\"(max-width: 446px) 100vw, 446px\" \/><\/figure>\n\n\n\n<h2 id=\"5-the-advantage-has-shifted-to-data\" class=\"wp-block-heading\"><strong>5. Il vantaggio si \u00e8 spostato sui dati.<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Cloud e database sono ormai diffusi. Anche la strutturazione dei dati e i controlli di accesso sono presenti nel 58-72% delle aziende, a ogni livello di maturit\u00e0. Oggi la differenza la fa la qualit\u00e0 dei dati: devono essere aggiornati, definiti in modo uniforme in tutta l\u2019azienda e affidati a un responsabile.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Il 95% delle future-built ha avviato un progetto di trasformazione dei dati, contro il 74% dei laggard. Il 70% delle future-built lo estende all\u2019intera azienda, contro il 43% dei laggard. Hanno anche il 40% di probabilit\u00e0 in pi\u00f9 di dare agli agenti accesso in tempo reale ai dati aziendali, cos\u00ec le risposte si basano su informazioni correnti, e il 70% in pi\u00f9 di avere regole esplicite su ci\u00f2 che ogni agente pu\u00f2 vedere e fare.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1001\" height=\"502\" src=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-4.png\" alt=\"\" class=\"wp-image-17802\" style=\"aspect-ratio:1.99609375;width:511px;height:auto\" srcset=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-4.png 1001w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-4-300x150.png 300w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-4-18x9.png 18w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-4-768x385.png 768w\" sizes=\"(max-width: 1001px) 100vw, 1001px\" \/><\/figure>\n\n\n\n<h2 id=\"6-the-right-cost-is-cost-per-outcome\" class=\"wp-block-heading\"><strong>6. Il costo giusto \u00e8 quello per risultato.<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">La spesa in IA \u00e8 pi\u00f9 che triplicata in un anno: dall\u20191% circa dei ricavi al 3,3% di oggi. Gran parte di questa spesa sta fuori dal budget IT, dove vale il 2,8% dei ricavi, contro lo 0,5% dentro l\u2019IT. Questo rende pi\u00f9 difficile sapere quanto si spende davvero.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Il 75% delle future-built ha deciso in modo esplicito come gestire la spesa in token e la governa verso un ritorno dichiarato. Tra i laggard, la met\u00e0 concede l\u2019accesso agli strumenti senza tracciare la spesa oppure la monitora senza fissare un tetto.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Il report propone anche di cambiare unit\u00e0 di misura: il costo per risultato ottenuto, al posto del costo per token. Un modello pi\u00f9 capace, che completa il compito al primo tentativo, pu\u00f2 costare meno di uno economico che deve riprovare o richiede una revisione umana.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"985\" height=\"623\" src=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-6.png\" alt=\"\" class=\"wp-image-17805\" style=\"aspect-ratio:1.5820895522388059;width:530px;height:auto\" srcset=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-6.png 985w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-6-767x485.png 767w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-6-300x190.png 300w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-6-18x11.png 18w\" sizes=\"(max-width: 985px) 100vw, 985px\" \/><\/figure>\n\n\n\n<h2 id=\"7-the-winners-are-faster-and-more-focused\" class=\"wp-block-heading\"><strong>7. Vince chi \u00e8 pi\u00f9 veloce e pi\u00f9 mirato.<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Le future-built arrivano all\u2019impatto sul P&amp;L in circa 11 mesi, includendo la riprogettazione completa dei processi. Le aziende in fase di scaling ne impiegano 14, i laggard 17.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Hanno inoltre 20 workflow in produzione su larga scala, contro i 4 dei laggard, pur partendo da un portafoglio di iniziative solo 1,5 volte pi\u00f9 grande. Il 62% delle loro iniziative riprogetta o inventa processi, contro il 44% dei laggard, che tendono invece ad applicare l\u2019IA a ci\u00f2 che gi\u00e0 esiste.Concentrano le risorse su poche funzioni ad alto valore. Il divario con i laggard \u00e8 pi\u00f9 ampio in R&amp;D: 61 punti percentuali.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"997\" height=\"583\" src=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-5.png\" alt=\"\" class=\"wp-image-17804\" style=\"aspect-ratio:1.709090909090909;width:564px;height:auto\" srcset=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-5.png 997w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-5-768x449.png 768w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-5-300x175.png 300w, https:\/\/neodatagroup.ai\/wp-content\/uploads\/2026\/10\/image-5-18x11.png 18w\" sizes=\"(max-width: 997px) 100vw, 997px\" \/><\/figure>\n\n\n\n<h2 id=\"8-sector-does-not-decide-the-outcome\" class=\"wp-block-heading\"><strong>8. Il settore non decide il risultato.<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Secondo il report, tutti gli oltre 20 settori analizzati contano almeno un\u2019azienda future-built. Questo suggerisce che un alto livello di maturit\u00e0 sull\u2019IA possa essere raggiunto in qualsiasi comparto. La quota di leader, cio\u00e8 di aziende future-built o in fase di scaling, varia: 70% nella tecnologia, 46% nella meccanica.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Il vantaggio economico appare invece simile ovunque. In ogni settore, BCG rileva che i leader generano da due a tre volte il valore dei laggard, considerando sia la riduzione dei costi sia la crescita dei ricavi. I laggard, a loro volta, sono un gruppo eterogeneo, con aziende vicine ai leader e altre molto indietro. Per questo il confronto pi\u00f9 utile sembra essere quello con i leader, pi\u00f9 che con la media del proprio settore.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Anche su dove investire, il report indica una tendenza comune. Tra il 54% e il 78% del valore dell\u2019IA si concentra nelle funzioni core e, in quasi tutti i settori, tecnologia\/IT e R&amp;D risultano al primo o al secondo posto. BCG suggerisce di evitare un\u2019adozione generica e di puntare sulle due o tre funzioni che pesano di pi\u00f9 nel proprio settore.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Stai lanciando un progetto di IA e ti stai confrontando con questi temi: misurare il valore, mettere i controlli agli agenti, preparare i dati. Neodata affianca le aziende lungo questo percorso, dalla definizione dei casi d\u2019uso al passaggio in produzione.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>","protected":false},"excerpt":{"rendered":"<p>Many companies have already put an agent into production. Few can say what it is worth on the balance sheet, and even fewer have set up controls for when that agent has to decide on its own. That is the picture emerging from BCG\u2019s Applied AI Index 2026, a survey of 1,330 executives across more [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":17798,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32],"tags":[],"class_list":["post-17797","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Eight things to know about the value of agentic AI, from BCG - Neodata Group<\/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:\/\/neodatagroup.ai\/it\/eight-things-to-know-about-the-value-of-agentic-ai-from-bcg\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Eight things to know about the value of agentic AI, from BCG - Neodata Group\" \/>\n<meta property=\"og:description\" content=\"Many companies have already put an agent into production. 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