- Lenovo-commissioned analysis reveals forty-two p.c of world organizations plan to institutionalize Generative AI use instances
- Thirty-seven p.c of administration stays skeptical towards AI
February 5, 2025 – Enterprise leaders and IT decision-makers verify AI use will attain mainstream ranges of adoption as organizations dedicate a better slice of their IT budgets to AI implementations, in accordance with new IDC analysis commissioned by Lenovo. The brand new world 2025 CIO Playbook entitled It’s Time for AI-nomics, highlights AI spending expectations by IT decision-makers globally to almost triple in 2025 in contrast with final 12 months. However vital challenges embody unsure monetary returns on these investments and gaps in organizational readiness.
Proving ROI: The Biggest Barrier
Whereas most AI use instances have met enterprise expectations, proving the return of those investments stays difficult—monetary threat and unsure ROI rank as the best boundaries to AI adoption. This stress is magnified by a disconnect between rising AI investments and pervasive doubts amongst decision-makers about its worth. Regardless of the forecasted surge in AI spending, enterprise decision-makers usually are not unanimous of their optimism of its affect. The CIO Playbook revealed that 37% of administration stay skeptical or have reservations towards AI, whereas roughly 9 out of 10 AI-adopting respondents, principally made up of IT professionals, stated that AI has met their expectations. This highlights a major divide between the unbound potential of AI and enterprise confidence.
Generative AI Adoption Accelerates
IT leaders count on AI to account for practically 20% of tech budgets in 2025, pushed by accelerated adoption of Generative AI use instances. Whereas solely 11% of enterprises are at the moment utilizing GenAI-powered functions, this quantity is predicted to extend nearly fourfold to 42% within the coming 12 months. IT operations, software program growth and advertising and marketing departments are anticipated to see the best degree of GenAI functions.
“AI is a marathon and a dash – requiring parallel efforts to maneuver shortly to modernize programs, whereas making certain the future-proofing of tech stacks,” stated Ken Wong, President, Options & Providers Group, Lenovo. “Our analysis exhibits organizations must simplify the design, deployment, and integration of AI options to reveal the affect of those investments. This may instill better confidence and gasoline future investments.”
Overcoming Organizational Readiness Challenges
The analysis additionally reveals a number of organizational readiness challenges. Whereas moral points and biases in AI and machine studying had been cited as essentially the most advanced or dangerous side of AI, greater than half of world companies wouldn’t have an AI Governance, Danger and Compliance (GRC) coverage in place. To comprehend compelling productiveness features promised with AI brokers and assistants, organizations additionally should practice and upskill employees, modernize IT programs to successfully combine these instruments, and set up organizational processes that assist navigate the moral and accountable use of those instruments.
Knowledge High quality: A Crucial Success Issue
The AI-nomics Report additionally underscores the basic significance of information high quality in delivering profitable AI implementation. Making certain knowledge sovereignty and compliance, and availability of high quality knowledge had been cited as crucial elements in profitable implementations, whereas AI failures are triggered most frequently by knowledge high quality points, IT prices and integrating AI with current programs and processes. To this finish, 33% of respondents stated that their organizations will likely be growing knowledge administration capabilities within the subsequent 12 months.
The Want for Expert Partnerships
Regardless of the urgency to maneuver AI agendas ahead, enterprises acknowledge they will’t go it alone. Lack of expert experience is the commonest motive for not investing in AI, whereas the analysis discovered that entry to companions with sturdy AI capabilities stays one of the vital vital elements in profitable AI implementation.
“To harness AI’s transformative energy, organizations want a data-driven technique that ensures scalability, interoperability, and tangible enterprise outcomes,” stated Ashley Gorakhpurwalla, President, Infrastructure Options Group, Lenovo. “At Lenovo, we imagine a hybrid strategy to AI—seamlessly integrating and enabling personal and public fashions—is important for delivering scalable options, driving measurable affect, and accelerating AI-powered enterprise transformation.”
Discover the complete 2025 CIO Playbook.
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