The study surveyed 1,000 senior IT and business decision-makers across the United States, Europe and Asia-Pacific.<\/p>\n
Key research findings include:<\/p>\n
Confidence rises as performance falls: 90% of organizations say they have the right architecture to support large-scale data-driven decision-making, up from 72% in 2025. Yet fewer organizations are exceeding operational efficiency expectations.
\n Cybersecurity risk surges:\u00a0Nearly half (49%) of organizations experienced a cybersecurity breach in the past 12 months \u2014 nearly three times higher than the prior year (17%).
\n Agentic AI hype outpaces adoption:\u00a0While 75% say agentic AI will be essential to managing cloud environments, only 23% have begun scaling it across their business.
\n Security drives innovation: 96% say their cloud security approach enhances their ability to adopt new technologies faster than competitors, up from 60% in 2025.<\/p>\n
“Building a strong technology foundation is an important first step. IT and business leaders must show that their investments are paying off and delivering real growth,” said Mike Thomson, chief executive officer and president, Unisys. “This means aligning IT to outcomes, deploying agentic AI where it creates value and treating security as the foundation that makes all of it possible, rather than a constraint.”<\/p>\n
Technology Confidence is Outpacing Business Outcomes<\/p>\n
Organizations have made meaningful progress building the technical foundations required for scalable AI and cloud environments. Of those surveyed, 90% of organizations report having the right architecture to support large-scale data-driven decision-making (up 18 percentage points from 2025), while 90% also say they are effectively leveraging automation to optimize their IT environments.<\/p>\n
Despite growing confidence in AI and cloud capabilities, organizations are converting that progress into measurable outcomes at a slower rate. Only 65% report that operational efficiency exceeds expectations \u2014 down from 80% in 2025.<\/p>\n
To bridge this gap, organizations should prioritize converting technical capability into measurable outcomes. Addressing challenges such as talent shortages (27%) and data management and integration issues (26%) \u2014 top barriers identified in the study \u2014\u00a0will be critical to scaling new tools and delivering business impact.<\/p>\n
From Technical Progress to Business Impact<\/p>\n
Organizations continue to align technology investments with technical rather than operational and commercial goals that matter most to the bottom line.<\/p>\n
Currently, organizations cite technical modernization (39%) and enabling AI and automation (36%) as their top objectives for application transformation efforts, ranking well above more tangible business benefits such as reducing operating costs (27%), improving customer experience (24%) and accelerating speed to market (21%).<\/p>\n
At the same time, fewer than half (42%) of business leaders view cloud and IT as profit centers rather than cost centers, reflecting rising expectations that technology demonstrates clear, near-term business impact.<\/p>\n
Agentic AI Moves From Hype to Measured Adoption<\/p>\n
Organizations are increasingly looking to agentic AI to manage their growing number of cloud applications (75%). Most organizations remain in early stages of adoption (77%), indicating a more deliberate approach to deployment.<\/p>\n
While organizations continue to prepare for agentic AI adoption, they report progress in identifying priority use cases (89%), upskilling employees (87%), securing executive buy-in (87%), and partnering with AI and technology vendors (86%) \u2014 key steps required for effective agentic AI deployment.<\/p>\n
Cyber Risks Rise as Security Shapes AI Adoption<\/p>\n
As AI systems gain greater autonomy and expanded access to data and workflows, the threat landscape has intensified. In the past 12 months, nearly half (49%) of organizations experienced a cybersecurity breach, compared with 17% in the prior period \u2014 emphasizing the growing importance of resilient security strategies.<\/p>\n
To respond, organizations are reframing their cybersecurity approach, recognizing the need to scale AI without compromising resilience. Currently, 93% say that cloud security capabilities significantly affect the level of autonomy they grant AI systems.<\/p>\n
Encouragingly, nearly all organizations (96%) also view security as an enabler of innovation, helping them adopt new technologies faster. Organizations that embed security into their AI and cloud strategies will be better positioned to scale innovation with confidence.<\/p>\n
View and download the full report<\/a>.<\/p>\n About Unisys\u00a0<\/p>\n Unisys is a global technology solutions company that powers breakthroughs for the world’s leading organizations. Our solutions \u2013 cloud, AI, digital workplace, applications and enterprise computing \u2013 help our clients challenge the status quo and unlock their full potential. To learn how we have been helping clients push what’s possible for more than 150 years, visit\u00a0unisys.com<\/a>\u00a0and follow us on LinkedIn<\/a>.<\/p>\n RELEASE NO.: 0721\/10061<\/p>\n Unisys and other Unisys products and services mentioned herein, as well as their respective logos, are trademarks or registered trademarks of Unisys Corporation. Any other brand or product referenced herein is acknowledged to be a trademark or registered trademark of its respective holder.<\/p>\n UIS-C\u00a0<\/p>\n Correction: An earlier version of this release was incorrectly missing two instances of a link to the Unisys AI & Cloud Insights Report 2026.<\/p>\n SOURCE Unisys Corporation<\/p>\n![\"\"](\"https:\/\/rt.prnewswire.com\/rt.gif?NewsItemId=PH08443&Transmission_Id=202607210846PR_NEWS_USPR_____PH08443A&DateId=20260721\")
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