For many enterprises, multicloud has become the standard operating model rather than a future milestone. With 82% of organizations using multicloud or hybrid cloud as their primary strategy¹, and 70% of enterprises planning to select platform solutions for multicloud by 2027², the challenge facing enterprises today is not how to adopt multicloud. It is how to operate, manage and maintain visibility across increasingly complex cloud environments after adoption.

Multicloud adoption is only the first step

For years, cloud conversations focused on migration, adoption and expansion. Success was often measured by how quickly organizations could move workloads into cloud environments.

Today, success is often measured by what happens after migration: maintaining visibility, controlling costs, enforcing consistent policies and delivering reliable performance across cloud ecosystems.

As cloud environments become more complex, so does the effort required to manage them. Many teams are no longer asking whether they should use multiple cloud providers. They are asking how to maintain visibility, governance and operational efficiency as their environments become larger, more distributed, and more interconnected.

Why multicloud operations get harder to manage at scale

The shift is becoming more apparent as cloud-native technologies mature. According to the Cloud Native Computing Foundation (CNCF) Annual Cloud Native Survey, 98% of organizations have adopted cloud-native techniques.³ This adoption creates opportunity, but it also changes the day-to-day operating model as workloads become more distributed across clouds, data centers, edge locations and AI environments.

At the same time, many organizations are selecting different cloud providers based on their unique strengths, whether that is access to specific AI services, application capabilities, geographic reach or performance requirements. While this approach can optimize outcomes for individual workloads, it can also increase the complexity of managing and connecting environments across providers.

Many organizations are also struggling to hire and retain the specialized talent needed to manage environments that were often adopted at different times, with different tools, policies and requirements.

Operational efficiency is no longer just a technology preference. It has become a way to reduce pressure on teams, support business growth and manage complexity before it affects cost, performance, speed and scalability. When organizations struggle to manage that complexity, the effects often extend beyond IT operations and begin impacting broader business objectives.

The business risks of unmanaged multicloud complexity

Multicloud complexity becomes a business issue when fragmented connectivity starts affecting cost predictability, app performance and how fast teams can respond to new demands.

As a result, organizations may experience:

• Rising egress and networking costs that make cloud spending more difficult to predict and control
• Increased management overhead that diverts resources away from innovation and strategic initiatives
• Slower deployment and scaling efforts that can delay new applications, services, and revenue opportunities
• Performance challenges across distributed environments that may affect user experiences and application reliability
• Greater difficulty maintaining control as infrastructure expands across providers, locations and teams

Traditional networking approaches can create inefficient routing paths that increase latency and complexity. At the same time, organizations may face rising cloud networking costs as data moves between providers, data centers, and enterprise locations. As environments become more distributed, performance gaps can increase management overhead and costs.

For example, an organization running applications across multiple cloud environments may find that data travels through disconnected networking paths, creating added latency, higher networking costs and more operational overhead. As these challenges compound, teams can spend more time troubleshooting performance issues and managing complexity instead of supporting new business initiatives.

The key takeaway for business and IT leaders is clear: as multicloud environments grow, operational complexity can become a barrier to performance, agility and scalability if left unaddressed.

Why AI is raising the stakes for multicloud operations

These challenges become even more significant as many organizations accelerate their AI adoption initiatives and complexity becomes harder to ignore. AI often amplifies operational challenges because it relies on data moving quickly and reliably. As workloads span across clouds, data centers and edge locations, organizations often need a more consistent way to manage performance, connectivity and control at scale.

The question is no longer whether environments can scale. It is whether they can scale without becoming increasingly difficult to operate, risking slower application performance and security vulnerabilities that can hinder AI success.

The shift from multicloud expansion to operational efficiency

As complexity grows and AI workloads place greater demands on connectivity and performance, organizations are shifting their focus from cloud expansion to operational efficiency.

These organizations are placing greater emphasis on:

• Simplified operations and greater consistency across cloud environments
• Centralized management and policy oversight
• Faster deployment and rapid scalability as connectivity demands increase
• A unified platform that helps connect and manage environments more efficiently

As internal operations become more efficient, teams can support additional workloads and improve scalability without adding management and administrative burden.

Organizations that can coordinate cloud environments through a unified approach may be better positioned to respond to changing business requirements, support growth initiatives, and scale with greater confidence.

A unified approach to multicloud operations

Multicloud adoption may no longer differentiate organizations. The next phase of success depends on whether organizations can simplify the way they connect, manage and scale distributed environments.

Lumen® Multi-Cloud Gateway brings cloud, data center and on-premises connectivity into a more centralized operating model. With Alkira’s cloud-native control plane, Lumen can help customers simplify routing, improve visibility and apply consistent policy across clouds, sites and partners—creating a stronger foundation for scalable multicloud operations.

Multicloud complexity is growing faster than many teams can manage. Discover how Lumen Multi-Cloud Gateway and Alkira help simplify operations and improve visibility to create a scalable foundation.

_{¹London Stock Exchange Group, Cloud strategies in financial services, 2025.}

_{²Gartner, Compose platforms that adapt to business needs, 2026.}

_{³Cloud Native Computing Foundation (CNCF), CNCF annual cloud native survey: The infrastructure of AI’s future, January 2026.}

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