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E non è un timore infondato. I team che hanno perso più spesso posti di lavoro a causa dell’AI generativa nell’ultimo anno sono operazioni IT (nel 40% delle organizzazioni intervistate), assistenza/servizio clienti (37%) e data analytics (37%). 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Anche se la Gen AI sta producendo valore per quasi tutti gli intervistati, il 96% dichiara di affrontare problemi significativi, tra cui: \u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003EQualità e quantità dei dati (40% degli intervistati)\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003EEsperienza o competenze del personale (35%)\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003EIntegrazione con sistemi esistenti o legacy (31%)\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003EScalabilità e prestazioni (27%)\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003EPer le aziende con 500‑999 dipendenti la sfida più grande sono i talenti, citati come problema dal 43%, rispetto al 34% delle imprese di maggiori dimensioni.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"},"container":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-9ae6f5f4dc","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"flexible_column_cont":{"id":"flexible-column-container-be287d2176","type":"2-column-25-75","alignColumns":"center","containerMaxWidth":"extra-large","topPadding":"small","bottomPadding":"small","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"stat-callout","backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-ec34bd8f0a",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"image":{"id":"image-484369fc4e","src":"https://www.snowflake.com/content/snowflake-site/global/it/lp/radical-roi-generative-ai/_jcr_content/root/responsivegrid/container_copy/container/flexible_column_cont/flexible_column_content_container_1/container_copy_copy__1099993454/container/flexible_column_cont/flexible_column_content_container_1/image.coreimg.svg/1777434535379/radical-roi-of-gen-ai-four-percent.svg","alt":"4%","lazyEnabled":true,":type":"snowflake-site/components/image"}},":itemsOrder":["image"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-53665b2dbd",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"text":{"id":"text-65bce06314","text":"\u003Cp\u003EI pochissimi fortunati che dichiarano di non avere avuto problemi a implementare la Gen AI\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text"}},":itemsOrder":["text"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false}},":itemsOrder":["flexible_column_cont"]}},":itemsOrder":["title_v2","text","container"]},"container_copy_copy__222148415":{"additionalClasses":"border-top-blue","gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-6a841dc7cd","appliedCssClassNames":"snowflake-responsive-component-top-padding-medium snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-06841d0cb2","type":"heading2","lines":["MIGLIORE, PIÙ VELOCE, PIÙ INTELLIGENTE:","COME E DOVE FUNZIONA L’AI"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment blue-black-text-color snowflake-responsive-component-top-padding-medium"},"text":{"id":"text-9a21e3e944","text":"\u003Cp\u003EI team che più spesso implementano l’AI generativa e agentica sono ITOps (62% degli intervistati), data analytics (59%), cybersecurity (53%), sviluppo software (50%) e assistenza clienti (49%). Le tre motivazioni più diffuse sono: \u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003EEfficienza operativa, indicata dal 51% come obiettivo prioritario (migliori efficienze ottenute dall’88% degli intervistati).\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003EMigliore innovazione, citata dal 44% (con un miglioramento misurabile ottenuto dall’83% degli intervistati).\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003EMigliore customer experience, citata dal 40% (obiettivo raggiunto secondo l’84% degli intervistati).\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003EIl report approfondisce i modi in cui i team di business e IT stanno utilizzando la Gen AI e ottenendo risultati concreti.    \u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__1360230345":{"additionalClasses":"border-top-blue","gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-894cb2c41c","appliedCssClassNames":"snowflake-responsive-component-top-padding-medium snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-330fac6f98","type":"heading2","lines":["PROSPETTIVE GLOBALI E VERTICALI:","IL SUCCESSO DELLA GEN AI È NEI DETTAGLI"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment blue-black-text-color snowflake-responsive-component-top-padding-medium"},"text":{"id":"text-dbc1b6372e","text":"\u003Cp\u003ELa ricerca analizza i risultati di interviste condotte in 10 Paesi e 6 settori diversi. Alcuni aspetti particolarmente interessanti sono: \u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003ELe organizzazioni canadesi sono intensamente focalizzate sui casi d’uso rivolti ai clienti; il 54% applica la Gen AI all’assistenza e al servizio clienti (contro il 48% a livello globale). \u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ESolo il 32% delle organizzazioni francesi ottiene ritorni dall’AI generativa, contro il 49% a livello globale.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ELe società di servizi finanziari si preoccupano più spesso non dell’efficienza operativa, ma del miglioramento della performance finanziaria, citato dal 44% tra le motivazioni principali dell’adozione, contro il 29% in tutti gli altri settori.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ELe aziende manifatturiere sono più propense a citare problemi di competenze ed esperienza dei dipendenti (41%, contro una media del 34%).\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003ELeggi il report per informazioni dettagliate su tutti i Paesi e i settori della ricerca, da chi ha ottenuto il ROI più alto a dove si stanno diffondendo più velocemente gli agenti AI e chi fa più uso della shadow AI.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"}},":itemsOrder":["title_v2","text"]}},":itemsOrder":["container_copy","container_copy_copy","container_copy_copy_","container_copy_copy__1099993454","container_copy_copy__222148415","container_copy_copy__1360230345"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"form","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"marketo_v2_copy":{"id":"marketo-v2-14ef823977","marketoForm":{"successUrl":null,"formId":"57400","edit":false,"script":"MktoForms2.whenReady(function(form) {\r\n\r\n  form.onSuccess(function(vals, thankYouURL) {\r\n\r\n    window.parent.location = thankYouURL;\r\n\r\n    return false;\r\n\r\n  })\r\n\r\n})","hidden":null,"values":null},"title":{"id":"title","type":"heading3","lines":["Scarica l’ebook"],":type":"snowflake-site/components/title-v2"},"marketoConfigured":true,"formConfigured":true,"munchkinId":"252-RFO-227","serverInstance":"252-RFO-227.mktoweb.com",":type":"snowflake-site/components/form/marketo-v2"}},":itemsOrder":["marketo_v2_copy"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false}},":itemsOrder":["flexible_column_cont"]},"container_1545902728":{"additionalClasses":"methodology","gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-5100378269","appliedCssClassNames":"ui-background-05 snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"container":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-d614f39c0f","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"flexible_column_cont":{"id":"flexible-column-container-e6860be945","propertiesId":"methodology","type":"1-column","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"extra-large","bottomPadding":"extra-large","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-616c57e693","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"title_v2":{"id":"title-v2-196873c8af","type":"heading3","lines":["Metodologia"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment"},"text":{"id":"text-a000f6954e","text":"\u003Cp\u003EQuesto report presenta i risultati di un sondaggio online condotto da Omdia by Informa TechTarget tra il 13 agosto 2025 e il 17 settembre 2025. Tutti gli intervistati lavorano per organizzazioni con 500 o più dipendenti. Circa il 34% degli intervistati rappresenta organizzazioni con più di 5000 dipendenti; il 49% rappresenta organizzazioni con 1000‑4999 dipendenti e il 17% proviene da organizzazioni con 500‑999 dipendenti. \u003C/p\u003E\n\u003Cp\u003EL’intento della ricerca era comprendere meglio le esperienze delle organizzazioni di grandi dimensioni con le tecnologie di AI generativa. Per molti aspetti, come casi d’uso di LLM, vantaggi, sfide, ROI, aspettative per il futuro e altro, questo studio è la continuazione della ricerca e del report 2025. Inoltre, questa ricerca analizza i nuovi sviluppi legati all’adozione di soluzioni di AI agentica per automatizzare ulteriormente i processi aziendali. Molti di questi insight possono essere ottenuti solo da aziende che hanno un’esperienza concreta di uso dell’intelligenza artificiale generativa in un ambiente di produzione. Pertanto, il nostro sondaggio si è concentrato sulle organizzazioni che usano attualmente la Gen AI per potenziare ed eseguire i processi aziendali in produzione. \u003C/p\u003E\n\u003Cp\u003ETuttavia, la ricerca ci consente di fare osservazioni sull’adozione attuale dell’AI generativa da parte delle imprese. Dei 3479 partecipanti all’inizio del sondaggio, il 59% ha dichiarato che la propria organizzazione sta già utilizzando la Gen AI in molti casi d’uso di business (39%) o per alcuni casi d’uso iniziali (20%). Inoltre, solo il 2% degli intervistati ha dichiarato di non avere piani o interesse in questo tipo di soluzioni.\u003C/p\u003E\n\u003Cp\u003EQuesti risultati sono sorprendentemente coerenti con quelli rilevati un anno fa, a dimostrazione che finora la Gen AI ha resistito al tipico ciclo di hype, rallentamento e ripresa che caratterizza l’adozione delle nuove tecnologie. Riteniamo che l’adozione sia incoraggiata da due diverse dinamiche: l’integrazione della Gen AI nelle esperienze digitali quotidiane da parte degli utenti e il concretizzarsi di un impatto aziendale significativo e dimostrabile in più casi d’uso. Insieme, gli ampi riflessi della Gen AI sulla vita personale degli utenti e gli effetti che ha avuto fino ad oggi sull’efficienza e la produttività dei lavoratori nelle imprese sembrano aiutarla a resistere alle inversioni di tendenza nell’utilizzo e negli investimenti che spesso si verificano quando l’hype supera la realtà.\u003C/p\u003E\n\u003Cp\u003EI 2050 early adopter che hanno completato il sondaggio provengono da IT e cybersecurity (49%), sviluppo software (16%), data operations (9%) e altre linee di business (come marketing, assistenza clienti, produzione) (25%). Tra i criteri di inclusione nello studio figurava la capacità di influenzare le future decisioni di acquisto in ambito AI all’interno della propria organizzazione. II campione includeva diversi gradi di anzianità, dai C-level ai professionisti senior. Inoltre, la ricerca include risposte provenienti da Paesi di tutto il mondo: Stati Uniti (41%), Canada (7%), Regno Unito (7%), Francia (7%), Germania (7%), Australia e Nuova Zelanda (7%), Giappone (7%), Singapore (7%) e India (7%). Il margine di errore per questo campione è +/‑ 2 punti percentuali con un livello di confidenza del 95%. I totali presentati nelle figure e tabelle di questo report potrebbero non raggiungere il 100% a causa degli arrotondamenti.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular"}},":itemsOrder":["title_v2","text"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false}},":itemsOrder":["flexible_column_cont"]}},":itemsOrder":["container"]}},":itemsOrder":["container","container_1545902728"]},"markup_editor":{"id":"markup-editor-b20ee274a1","title":"Page CSS","cssContent":".lp-nav__inner .aem-Grid::before,.lp-nav__inner .aem-Grid::after{display:none}.snowflake-simplified-navigation-bar{display:none}html:not(.aem-AuthorLayer-Edit) .lp-nav{position:fixed;top:0;left:0;width:100%;z-index:5}.lp-nav{padding-top:16px;padding-bottom:16px;border-bottom:1px solid #ccc;background:#fff}.lp-nav__logo{width:140px}.lp-nav__inner.flex-container \u003E .container \u003E .cmp-container \u003E 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