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ZDNET’s key takeaways
- CIOs wish to transfer from AI pilots to enterprise-wide deployment.
- AI should scale safely, responsibly, and with clear, measurable influence.
- Digital leaders ought to prioritize infrastructure, expertise, governance, and worth.
The subsequent 12 months shall be when the enterprise gets serious about its AI deployments, with checks and explorations being changed by production-level companies that drive lasting enterprise transformations.
That is the conclusion of Lenovo’s CIO Playbook for 2026, produced with tech analyst IDC. The playbook is a research-led guidebook for digital leaders who wish to move from AI experimentation to enterprise-scale deployment.
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Lenovo’s European CMO Alberto Spinelli defined to ZDNET throughout a media briefing that the analysis, which surveyed 800 executives from Europe and the Center East, demonstrates how organizations are transferring from scattered adoption to enterprise-wide methods supported by stronger foundations in information, expertise, infrastructure, and governance.
“AI is now not only a future ambition, and it is now extra of a defining drive in how enterprises function, compete, and develop,” stated Spinelli, suggesting that companies face a important second.
“The race is on, but it surely’s not nearly who adopts AI quickest, however who scales it safely, responsibly, and with clear, measurable enterprise influence.”
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In the course of the occasion, Ewa Zborowska, analysis director at IDC, summarized the analysis findings and mentioned 5 methods CIOs can scale their AI initiatives successfully.
1. Put AI on the core of enterprise
Zborowska stated the analysis reveals that AI is essential for organizations searching for sooner progress and higher outcomes.
“AI is turning into not simply one of many applied sciences that prospects try to make use of and one thing that they find out about, however an essential enabler that helps them change enterprise, rework how they function, drive progress, and construct aggressive benefit.”
That is an strategy that Artwork Hu, international CIO at Lenovo, has adopted at his group, as he explained to me recently in a one-to-one interview for ZDNET.
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Zborowska inspired different CIOs to work with their friends throughout the group to show their enterprise priorities into clear AI use circumstances with homeowners, KPIs, and timelines.
“Sure, you’re a CIO, however you’re a companion for enterprise. It’s essential notice that AI isn’t just to be thought-about from a know-how perspective; it is advisable take a look at it from the attitude of what it brings to enterprise,” she stated.
“Ensuring that you simply take a look at processes and workflows internally to assist undertake AI, and being a powerful companion for your online business stakeholders, goes to be of the utmost significance.”
2. Determine proof of worth
Moderately than simply utilizing AI to enhance tech-based actions, as organizations had predominantly in earlier years of the report, Zborowska stated extra organizations at the moment are utilizing AI to boost, innovate, and reinvent their companies.
“Nearly all of prospects are well past this time of testing and attempting issues, and far more in a second the place they assume, ‘OK, how can we make this new know-how work for us within the context of enterprise outcomes?'”
The analysis advised that just about 60% of corporations are piloting or systematically adopting AI.
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Zborowska stated key enterprise priorities for deploying AI embody growing income and rising revenue, enhancing buyer expertise and satisfaction, and boosting worker productiveness.
“AI implementations at the moment are targeted on issues like being extra environment friendly in operations and searching for new methods of producing enterprise,” she stated.
“This transformation does not imply the issues that CIOs talked about final 12 months are now not essential. It merely reveals that different components are of utmost curiosity to the enterprise at this level.”
3. Scale your infrastructure
Nevertheless, Zborowska acknowledged that delivering worth from AI comes with challenges. She stated the analysis highlighted frequent points, resembling coaching and upskilling in IT groups and enterprise capabilities.
Nevertheless, she advised probably the most important problem is IT infrastructure, stating that AI is not going to run successfully with out environment friendly foundations.
“We want to consider how we introduce AI into our organizations to make sure that individuals are actually joyful when working with the know-how,” she stated.
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Zborowska stated conversations with CIOs counsel that scaling AI is just doable if the enterprise ensures robust foundations for safety, expertise, and IT infrastructure are in place.
The analysis reported that 82% of organizations will leverage on-premises or edge deployments for AI workloads and functions as a part of a hybrid atmosphere.
“You have to guarantee AI is built-in inside a wider IT property in your finish in probably the most safe manner and likewise put in place all of the mechanisms that assist you to just be sure you are working and managing this infrastructure well, each from a know-how perspective, but additionally from a cash perspective.”
4. Handle agentic considerations
Zborowska stated curiosity in agentic AI is rising rapidly, with the analysis reporting a 65% improve in organizations making ready for adoption as they search to automate complicated processes.
The analysis advised that early focus areas for agentic AI deployments embody safety operations, monetary workflows, and customer support, domains the place structured duties make brokers efficient.
Nevertheless, organizations nonetheless face main agentic challenges, resembling making certain information high quality, perfecting workflow redesign, establishing management mechanisms, and managing autonomy.
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Zborowska stated the rise of agentic AI locations new calls for on digital leaders.
“One of the crucial essential roles on the CIO facet shall be to just be sure you are serving to the enterprise establish the place introducing brokers and agentic AI is smart, and the place extra conventional approaches will nonetheless be adequate,” she stated.
“One other key consideration for CIOs is taking a look at brokers from the attitude of how they are going to be managed to maintain management, keep safety, and forestall brokers from sprawling.”
5. Govern accountable AI
The analysis reported that simply 30% of CIOs have established AI governance insurance policies, guidelines, tips, and practices that rigorously handle safety, information safety, privateness, and AI sovereignty.
Worse nonetheless, greater than half (54%) haven’t established or are within the technique of creating an organization-wide strategy to AI governance.
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Zborowska stated profitable enterprises agree on clear, shared guidelines for accountable, clear AI use.
“Introducing AI into your group or how you’re employed together with your prospects or your online business companions must be primarily based on belief,” she stated.
Zborowska stated CIOs obtain this confidence by making certain that AI governance and adoption happen hand in hand.
“Meaning making certain your group isn’t just specializing in one aspect, like information or processes, however ensuring that each one components are in place. So, you will have guidelines, insurance policies, and processes, and be certain that individuals are additionally well-prepped, so that they’re upskilled frequently.”
