Global CIO Study Reveals ROI Remains Greatest AI Adoption Barrier, Despite Three-Fold Spend Increase
Lenovo's commissioned IDC research reveals significant insights about AI adoption trends and challenges. The study shows AI spending is expected to triple by 2025, with IT leaders projecting AI to constitute nearly 20% of tech budgets. While 42% of global organizations plan to institutionalize Generative AI use cases, up from current 11%, significant barriers remain.
Key findings highlight that ROI uncertainty is the biggest obstacle to AI adoption, with 37% of management expressing skepticism despite 90% of IT professionals reporting AI meeting expectations. The research also identifies critical challenges in organizational readiness, including data quality issues, lack of AI governance policies, and the need for skilled partnerships.
The study emphasizes that IT operations, software development, and marketing departments are expected to see the highest level of GenAI applications. Data sovereignty, compliance, and quality emerge as important success factors, with 33% of organizations planning to develop data management capabilities in the next 12 months.
L'indagine commissionata da Lenovo all'IDC rivela informazioni significative sulle tendenze e le sfide nell'adozione dell'IA. Lo studio mostra che la spesa per l'IA è prevista triplicare entro il 2025, con i leader IT che stimano che l'IA costituirà quasi il 20% dei budget tecnologici. Mentre il 42% delle organizzazioni globali prevede di istituzionalizzare i casi d'uso dell'IA Generativa, in aumento rispetto all'attuale 11%, rimangono ostacoli significativi.
I risultati principali evidenziano che l'incertezza sul ROI è il maggior ostacolo all'adozione dell'IA, con il 37% dei dirigenti che esprime scetticismo nonostante il 90% dei professionisti IT riferisca che l'IA sta soddisfacendo le aspettative. La ricerca identifica anche sfide critiche nella prontezza organizzativa, inclusi problemi di qualità dei dati, mancanza di politiche di governance dell'IA e la necessità di partnership qualificate.
Lo studio sottolinea che le operazioni IT, lo sviluppo software e i dipartimenti di marketing si prevede che vedranno il livello più alto di applicazioni GenAI. La sovranità dei dati, la conformità e la qualità emergono come fattori di successo importanti, con il 33% delle organizzazioni che pianifica di sviluppare capacità di gestione dei dati nei prossimi 12 mesi.
La investigación encargada por Lenovo a IDC revela información significativa sobre las tendencias y desafíos en la adopción de la IA. El estudio muestra que el gasto en IA se espera que se triplique para 2025, con líderes de TI proyectando que la IA constituirá casi el 20% de los presupuestos tecnológicos. Mientras que el 42% de las organizaciones globales planean institucionalizar casos de uso de IA Generativa, un aumento del actual 11%, persisten obstáculos significativos.
Los hallazgos clave destacan que la incertidumbre sobre el ROI es el mayor obstáculo para la adopción de la IA, con el 37% de la gerencia expresando escepticismo, a pesar de que el 90% de los profesionales de TI informan que la IA está cumpliendo con las expectativas. La investigación también identifica desafíos críticos en la preparación organizacional, que incluyen problemas de calidad de los datos, falta de políticas de gobernanza de la IA y la necesidad de asociaciones calificadas.
El estudio enfatiza que se espera que las operaciones de TI, el desarrollo de software y los departamentos de marketing vean el nivel más alto de aplicaciones de GenAI. La soberanía de los datos, el cumplimiento y la calidad emergen como factores de éxito importantes, con el 33% de las organizaciones planeando desarrollar capacidades de gestión de datos en los próximos 12 meses.
레노버가 IDC에 의뢰한 연구는 AI 채택 동향과 도전에 대한 중요한 통찰력을 보여줍니다. 이 연구에 따르면, AI 지출이 2025년까지 세 배로 증가할 것으로 예상되며, IT 리더들은 AI가 기술 예산의 거의 20%를 차지할 것으로 보고 있습니다. 42%의 글로벌 조직이 생성적 AI의 사용 사례를 제도화할 계획이지만, 여전히 상당한 장벽이 남아 있습니다.
주요 발견 사항은 ROI 불확실성이 AI 채택의 가장 큰 장애물이라는 점을 강조하며, 37%의 경영진이 회의적인 태도를 보이는 반면, 90%의 IT 전문가들은 AI가 기대치를 충족하고 있다고 보고하고 있습니다. 연구는 또한 데이터 품질 문제, AI 거버넌스 정책의 부족, 숙련된 파트너십의 필요성과 같은 조직 준비 상태에서의 주요 도전을 식별합니다.
연구는 IT 운영, 소프트웨어 개발 및 마케팅 부서가 GenAI 애플리케이션의 가장 높은 수준을 볼 것으로 예상된다고 강조합니다. 데이터 주권, 규정 준수 및 품질은 중요한 성공 요소로 부각되며, 33%의 조직이 향후 12개월 이내에 데이터 관리 능력을 개발할 계획입니다.
La recherche commandée par Lenovo à IDC révèle des informations significatives sur les tendances et les défis de l'adoption de l'IA. L'étude montre que les dépenses en IA devraient tripler d'ici 2025, les responsables informatiques prévoyant que l'IA représentera près de 20 % des budgets technologiques. Bien que 42 % des organisations mondiales prévoient d'institutionnaliser les cas d'utilisation de l'IA générative, contre 11 % actuellement, des obstacles considérables demeurent.
Les résultats clés mettent en évidence que l'incertitude du ROI est le plus grand obstacle à l'adoption de l'IA, 37 % des dirigeants exprimant du scepticisme alors que 90 % des professionnels de l'informatique rapportent que l'IA répond aux attentes. La recherche identifie également des défis critiques en matière de préparation organisationnelle, notamment des problèmes de qualité des données, l'absence de politiques de gouvernance de l'IA et la nécessité de partenariats qualifiés.
L'étude souligne que les opérations informatiques, le développement logiciel et les départements marketing devraient connaître le plus haut niveau d'applications GenAI. La souveraineté des données, la conformité et la qualité apparaissent comme des facteurs de succès importants, 33 % des organisations prévoyant de développer des capacités de gestion des données au cours des 12 prochains mois.
Die von Lenovo in Auftrag gegebene IDC-Studie offenbart bedeutende Erkenntnisse über Trends und Herausforderungen bei der KI-Adoption. Die Studie zeigt, dass die Ausgaben für KI bis 2025 voraussichtlich auf das Dreifache ansteigen werden, wobei IT-Leiter davon ausgehen, dass KI fast 20% der Technologiebudgets ausmachen wird. Während 42% der globalen Organisationen planen, Anwendungsfälle für Generative AI zu institutionalisieren, auf steigend von derzeit 11%, bestehen erhebliche Hindernisse.
Wichtige Ergebnisse heben hervor, dass die Unsicherheit hinsichtlich der Rentabilität das größte Hindernis für die KI-Adoption darstellt, wobei 37% des Managements skeptisch sind, obwohl 90% der IT-Profis berichten, dass KI die Erwartungen erfüllt. Die Forschung identifiziert auch wesentliche Herausforderungen in Bezug auf die Organisationsbereitschaft, einschließlich Datenqualitätsproblemen, einem Mangel an KI-Governance-Richtlinien und der Notwendigkeit qualifizierter Partnerschaften.
Die Studie betont, dass IT-Betrieb, Softwareentwicklung und Marketingabteilungen voraussichtlich die höchste Anzahl an GenAI-Anwendungen sehen werden. Datenhoheit, Compliance und Qualität erweisen sich als wichtige Erfolgsfaktoren, wobei 33% der Organisationen planen, in den nächsten 12 Monaten Datenmanagementfähigkeiten zu entwickeln.
- AI spending expected to triple by 2025
- GenAI adoption projected to increase from 11% to 42%
- 90% of IT professionals report AI meeting expectations
- AI to account for 20% of tech budgets by 2025
- 37% of management remains skeptical about AI value
- More than 50% of businesses lack AI Governance, Risk and Compliance policies
- Significant ROI uncertainty hampering adoption
- Data quality issues causing AI implementation failures
- Lenovo-commissioned research reveals forty-two percent of global organizations plan to institutionalize Generative AI use cases
- Thirty-seven percent of management remains skeptical toward AI
Proving ROI: The Greatest Barrier
While most AI use cases have met business expectations, proving the return of these investments remains challenging—financial risk and uncertain ROI rank as the greatest barriers to AI adoption. This tension is magnified by a disconnect between growing AI investments and pervasive doubts among decision-makers about its value. Despite the forecasted surge in AI spending, business decision-makers are not unanimous in their optimism of its impact. The CIO Playbook revealed that
Generative AI Adoption Accelerates
IT leaders expect AI to account for nearly
“AI is a marathon and a sprint – requiring parallel efforts to move quickly to modernize systems, while ensuring the future-proofing of tech stacks,” said Ken Wong, President, Solutions & Services Group, Lenovo. “Our research shows organizations need to simplify the design, deployment, and integration of AI solutions to demonstrate the impact of these investments. This will instill greater confidence and fuel future investments.”
Overcoming Organizational Readiness Challenges
The research also reveals several organizational readiness challenges. While ethical issues and biases in AI and machine learning were cited as the most complex or risky aspect of AI, more than half of global businesses do not have an AI Governance, Risk and Compliance (GRC) policy in place. To realize compelling productivity gains promised with AI agents and assistants, organizations also must train and upskill staff, modernize IT systems to effectively integrate these tools, and establish organizational processes that help navigate the ethical and responsible use of these tools.
Data Quality: A Critical Success Factor
The AI-nomics Report also underscores the fundamental importance of data quality in delivering successful AI implementation. Ensuring data sovereignty and compliance, and availability of quality data were cited as the most important factors in successful implementations, whereas AI failures are caused most often by data quality issues, IT costs and integrating AI with existing systems and processes. To this end,
The Need for Skilled Partnerships
Despite the urgency to move AI agendas forward, enterprises recognize they can’t go it alone. Lack of skilled expertise is the most common reason for not investing in AI, while the research found that access to partners with strong AI capabilities remains one of the most important factors in successful AI implementation.
“To harness AI’s transformative power, organizations need a data-driven strategy that ensures scalability, interoperability, and tangible business outcomes," said Ashley Gorakhpurwalla, President, Infrastructure Solutions Group, Lenovo. "At Lenovo, we believe a hybrid approach to AI—seamlessly integrating and enabling private and public models—is essential for delivering scalable solutions, driving measurable impact, and accelerating AI-powered business transformation.”
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