Why most companies still miss the real value of the cloud

Many organizations are not achieving the expected ROI from their cloud investments

Most businesses today are deep into the cloud. More than half of enterprise and SMB workloads already run on public cloud platforms. Yet, about half of organizations say they’re not getting the outcomes they expected from those investments. The problem isn’t spending; the problem is the return. Despite lackluster results, 75% of cloud leaders still plan to increase their cloud budgets significantly over the next two years, according to NTT Data. Flexera’s research shows an average 28% increase across most organizations.

This situation reflects both determination and a blind spot. Many companies are caught in the paradox of investing more in the cloud without a clear strategy for how to extract measurable value from it. The accelerating push toward artificial intelligence contributes to this cycle. AI runs on cloud infrastructure, so organizations feel compelled to expand cloud capabilities to fuel innovation. But when foundational efficiency and architecture issues remain unsolved, more spending doesn’t lead to better results, it just increases the scale of inefficiency.

For executive decision-makers, this is a moment to pause and reframe the approach to technology spend. Cloud adoption should be tied directly to business performance, innovation capacity, and operational resilience. The goal is not to operate more cloud servers but to run smarter ones.

Companies that understand this make better decisions about where to allocate resources and which capabilities to develop. They analyze their existing architecture, identify waste, and invest where measurable outcomes can be achieved. The focus shifts from “more cloud” to “better value from cloud.” Those that fail to make this shift will likely experience deeper ROI gaps, especially as they layer AI initiatives on top of unstable cloud foundations.

In short, the data shows that the majority of organizations continue to pour money into the cloud. The opportunity lies not in spending more but in being smarter, by aligning technology with clear, strategic goals that create genuine competitive advantage.

Cloud value is unlocked not solely by technology, but by cultivating the necessary skilled talent

The cloud is powerful, but it doesn’t create business value on its own. It’s a platform, its impact depends entirely on how people use it. Many organizations underestimate this fact. They invest heavily in infrastructure and tools but neglect the human expertise required to turn those assets into measurable results. The result is wasted potential, expensive systems that run efficiently on paper but don’t deliver corresponding efficiency in practice.

Research from Forrester shows that only 8% of organizations can be considered highly cloud mature. These are the companies that use automation effectively, apply autoscaling, manage services intelligently, and continuously optimize. The data is clear about the payoff: in these mature organizations, 86% have met their business goals through cloud, 86% have improved their security posture, and 84% operate with greater agility and stronger talent retention. The remaining 92% fall short because they stop at adoption rather than focusing on mastery.

Executives must see this as a leadership issue, not just a technical one. You can buy technology, but you cannot buy competence. Skilled people, engineers, architects, and strategists, must constantly learn and evolve along with the cloud platforms they manage. Without this, organizations risk losing control of both cost and performance.

The business case for investing in cloud talent is strong. Skilled professionals can automate repetitive tasks, manage workloads efficiently, and design architectures that scale without inflating costs. They also contribute to stronger risk management and better security. For leaders, this means prioritizing ongoing training, hiring with intent, and creating an environment where cloud expertise grows continuously.

Cloud ROI improves when people know how to exploit its full potential. This is a decisive shift from thinking about “cloud as infrastructure” to viewing it as a strategic capability, one powered by human skill and discipline. The organizations that understand this will see their technology investments deliver true business impact, while others will continue to see cloud as an expense rather than an engine for growth.

Successful cloud ROI depends on building a strong talent ecosystem across four key roles

Cloud ROI doesn’t come from technology alone, it’s produced by people working in coordination across several core disciplines. The research highlights four essential areas that determine whether an organization can translate its cloud investments into measurable business value: leadership, cloud architecture, financial operations (FinOps), and engineering. Each plays a distinct role, but the alignment between them is what makes the technology deliver results.

Effective cloud leadership is the first requirement. Leaders must define what success looks like, set clear objectives, and communicate priorities across the organization. They must also identify skill gaps and act on them, ensuring cloud strategies are supported by talent capable of execution. Strong leadership builds confidence and accountability across teams. Leaders who understand both the business and technical aspects of the cloud can guide teams toward meaningful outcomes rather than short‑term fixes.

Next are cloud architects. Their job is to design systems that are secure, scalable, and cost‑efficient. Poorly designed architectures lead to escalating costs, security vulnerabilities, and inflexible systems. Skilled architects anticipate future needs and design environments that support growth without unnecessary complexity. The better the design, the easier it is to maintain performance and control costs over time.

FinOps specialists bridge the gap between finance and technology. They establish clear visibility into spending, track where the money goes, and identify opportunities to optimize. In many organizations, uncontrolled cloud usage drives unexpected charges and wasted budgets. Strong FinOps practices ensure that spending aligns with business priorities and that every dollar invested in the cloud delivers value.

Finally, there are engineering teams. They turn plans into reality by deploying, managing, and optimizing cloud applications and services. Their expertise directly affects efficiency, uptime, and cost. Well‑trained engineers know how to implement governance policies, automate workflows, and maintain control over resource use. Their work ensures that the company gets consistent, predictable value from its cloud operations.

For executives, the message is simple: the return on cloud investment improves as the organization’s collective skill deepens. When leadership sets direction, architects design intelligently, FinOps controls spending, and engineers execute with precision, the outcome is measurable, sustainable performance. The organizations that treat these roles as strategic assets, not peripheral functions, achieve the strongest and most consistent cloud ROI.

Strengthening cloud capabilities is essential for sustainable ROI, especially as organizations scale AI initiatives

Cloud computing has become the foundation of most artificial intelligence initiatives. As organizations scale AI, they depend on robust, secure, and efficiently managed cloud infrastructure. However, without the right talent and processes in place, expanding AI projects only amplifies existing inefficiencies in the cloud environment. Many of the current ROI challenges stem from this gap, companies are pursuing innovation without first addressing the operational competence needed to sustain it.

For C‑suite leaders, this requires a shift in mindset. The focus should not be on how much is spent on cloud or AI, but on how well these investments contribute to defined business outcomes. Developing talent in leadership, architecture, financial operations, and engineering remains central to achieving this. When teams understand not just how to deploy services but how to operate them efficiently, they enable scalability without unnecessary cost or risk.

Upskilling is a key part of that equation. As technologies evolve, capabilities must evolve with them. Investing in training and internal development ensures that teams can handle migration, integration, and scaling without constant reliance on external vendors. It also strengthens institutional knowledge, allowing leaders to make faster, data‑driven decisions about where to deploy resources in support of AI and other growth objectives.

Leaders who approach cloud and AI investments as interdependent initiatives will find greater success than those who treat them as separate technology tracks. The most competitive organizations are aligning these strategies by ensuring that cloud foundations are cost‑optimized, secure, and capable of supporting rapid AI development. This requires constant performance monitoring, disciplined cost control, and clear accountability at every operational level.

The data supports this increasing dependence. NTT Data reports that 75% of cloud leaders plan to increase their investments in the next two years, while Flexera’s research shows an overall 28% average growth in cloud spending. These numbers reflect the strategic importance of the cloud in enabling next‑generation technologies.

Executives who want to see real ROI must ensure that this investment translates into measurable outcomes, faster deployment cycles, improved cost efficiency, and reliable performance. The organizations that succeed in doing this will transform their cloud platforms into sustained engines of innovation and long‑term growth.

Main highlights

• Cloud spending isn’t translating into results: Many organizations increase cloud budgets despite poor returns. Leaders should pause expansion until they understand where inefficiencies lie and align spending with defined business outcomes.
• Skills determine cloud value: Only 8% of companies reach high cloud maturity, according to Forrester. Investing in cloud expertise, automation, security, scaling, will unlock real ROI and long-term operational agility.
• Cloud ROI depends on aligned talent roles: ROI improves when leadership, architects, FinOps, and engineering teams operate cohesively. Executives should ensure each role is skilled, accountable, and strategically integrated into the company’s cloud framework.
• AI success relies on cloud readiness and capability: Strong cloud foundations and continuous upskilling are critical for AI-driven growth. Leaders should prioritize developing internal expertise and governance before scaling AI initiatives to secure sustainable ROI.