Cloud-led innovation in the era of AI
AI ambition meets cloud reality
Our new report, based on a global survey of more than 2,300 senior decision-makers across 33 countries, reveals a gap between AI ambition and cloud reality. As cloud takes on a critical role as the execution layer of the AI operating model, just 14% of organizations rate themselves at the highest level of cloud maturity, despite nearly two decades of cloud adoption. Discover the new rules for driving value with cloud at a time of unprecedented opportunity.
FAQs
What does this research cover?
This large-scale global study of over 2,300 senior IT and business leaders in 33 markets and 13 industries examines cloud maturity in the era of AI, the practices that separate cloud leaders from the rest and the new rules for creating value.
Who are the cloud leaders?
In this report, cloud leaders are defined as "cloud-evolved" organizations — the most advanced when it comes to cloud adoption and impact — that achieved operating profit growth of more than 10% in the past year, alongside an increase in their annual revenue.
These leaders are mature, well-structured and translating cloud maturity into measurable business performance. They are nearly 2.5 times more likely than other organizations to deliver revenue growth exceeding 10%, and more than twice as likely to operate at margins of 15% or higher.
Who should read this report?
CIOs, CTOs, CAIOs and other business leaders responsible for cloud strategy, AI transformation, modernization, security and digital operating models.
The new rules for driving value with cloud in the era of AI
Cloud and AI strategies must be developed in tandem.
Align AI and cloud strategies at the top. Ensure your CAIO and CIO or CTO are tightly coordinated so ambitions translate into scalable, enterprise-wide value.
Cloud architecture choices will make or break your success.
Architect for scale from day one. Early cloud and data architecture decisions determine whether AI can deliver measurable business outcomes at scale.
Reimagine how you drive business value with modern applications.
Modernize with the end in mind. Build an end-to-end cloud modernization program designed to operationalize AI across the organization, moving beyond isolated proofs of concept to sustained business impact.
A platform-led approach is no longer optional.
Standardize to accelerate value. Consolidate automation and productivity efforts into a unified, platform-based cloud management model that drives efficiency gains and unlocks investment for innovation.
Reset your cloud transformation KPIs.
Shift from transactional change to business transformation. Use AI to elevate cloud initiatives and support measurable business outcomes.
Make cloud secure with a focus on the basics.
Embed security and governance by design. Take a top-down, enterprise-wide approach to risk management to make AI and cloud initiatives secure, compliant and resilient.
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Only 14%
of organizations say they’re cloud-evolved — the most advanced when it comes to cloud adoption and impact.
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99%
say AI is increasing their need for cloud investment.
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88%
say their current cloud investment puts AI, cloud-native and modernization initiatives at risk.
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75%
of cloud leaders plan to significantly increase cloud investment, compared with 43% of other organizations.
Research insights
Cloud and AI are increasingly interconnected as the execution layer of the AI operating model
AI demand is rising, yet alignment is uneven. AI skills are the top cloud-related skills gap, and CAIOs are 22% more likely than CIOs and CTOs to say that AI increases the need for greater cloud investment.
Cloud architecture choices are in the spotlight
Cloud deployment choices are now directly influencing cloud outcomes, and organizations are increasingly adopting a mix of public, private, hybrid and sovereign cloud models. With data security, privacy and compliance driving AI workload decisions, nearly all organizations (99%) expect private cloud adoption to rise. Sovereign cloud adoption is projected to grow 50%.
Modernization is critical for success
Despite widespread agreement that cloud should drive innovation, 50% of organizations say the need to modernize applications and data platforms is holding them back from cloud-related innovation. Cloud modernization is cited as the top cloud priority in the next two years.
Platform-led cloud management can turn investment into impact
With 57% of organizations citing cloud cost management as an ongoing challenge and 59% of cloud leaders saying visibility across clouds, networks, data centers, applications and digital engagements is essential, organizations expect a threefold increase in fully managed cloud platforms.
Cloud transformation metrics need to change to reflect AI influence
While AI is critical for helping organizations shift from technical to business metrics for cloud initiatives, adoption is uneven: 47% of cloud leaders say they used AI in their last cloud migration project, compared with only 35% of all other organizations, and 62% of all organizations expect the ROI of agentic AI for cloud-native modernization and infrastructure to fall short of expectations despite the significant potential of AI in cloud transformation.
The fundamentals of security are essential
Although security is the top cloud investment area, confidence is uneven: 68% of cloud leaders are very confident in their cloud security posture, compared with only 36% of all other organizations. Leaders are also much more likely to define clear roles and responsibilities backed by regular audits, reinforcing the importance of the fundamentals as technology ecosystems grow more complex.