From VMware shock to AI demand: What is driving the platform modernisation boom?

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United Kingdom, Jun 8, 2026

Platform modernisation moves from roadmap to urgency

Authored by Mike Fry, Infrastructure Data & Security Solutions Director, Logicalis UKI

Platform modernisation has moved from a long-term consideration to an immediate priority for CIOs, as VMware licensing changes, rising operational costs and increasing compliance demands force organisations to reassess how their infrastructure is designed, managed and optimised.

At the same time, the acceleration of AI adoption is exposing the limitations of legacy environments that were never built to support the scale, performance and data requirements these workloads demand.

This is not simply another technology refresh cycle but a broader shift in how organisations view infrastructure as a foundation for agility and innovation. According to recent CIO-focused research, over 90% of organisations say their appetite for AI has increased over the past 12 months, underlining the scale of demand now being placed on platforms that, in many cases, were never designed for this level of intensity or complexity.

In short, without modernisation, organisations risk seeing AI ambition outpace their ability to deliver it in practice. 

Legacy infrastructure meets AI reality

However, this surge in ambition is colliding with practical realities. Many organisations are attempting to layer new technologies onto ageing infrastructure, which is increasing complexity, driving inefficiency and introducing additional risk across the environment. Legacy platforms often lack the flexibility required to support hybrid and multicloud architectures, while also limiting visibility and making cost control more difficult.

At the same time, internal capability gaps are becoming more visible as organisations attempt to scale modern infrastructure across increasingly complex environments. AI and modern applications place new demands on connectivity, storage and compute, making infrastructure significantly harder to manage and optimise without specialist expertise and consistent operational models.

This is creating a growing disconnect between ambition and execution, with recent research showing that nearly four in five organisations indicate that infrastructure limitations are already slowing their ability to adopt and scale AI initiatives, which highlights a critical issue for CIOs, as innovation is no longer constrained by ideas, but by the platforms required to support them

A defining opportunity for the channel

VMware disruption has acted as a catalyst in this shift, with changes to licensing models and partner ecosystems introducing both cost pressure and uncertainty, prompting organisations to reassess long-standing dependencies and explore alternative approaches. In many cases, this is accelerating a move towards more flexible multi-vendor strategies that reduce lock-in and improve commercial control.

This shift is also encouraging organisations to rethink how they structure their environments more broadly, balancing cost efficiency with the need for resilience and long-term flexibility.

At the same time, AI is increasing the urgency for change. As organisations move beyond experimentation and begin embedding AI into core processes, infrastructure must support faster data movement, more dynamic scalability and consistent performance across environments. Without modern platforms in place, these ambitions quickly become constrained, limiting both innovation and return on investment.

In practice, this means many organisations are now facing a growing gap between what they want to achieve with AI and what their current infrastructure can realistically support at scale. For channel partners and MSPs, this convergence of pressures creates a significant opportunity to reposition platform modernisation as a strategic service rather than a technical project.

By helping customers assess their environments, identify risks and design future-ready architectures, partners can play a central role in enabling long-term value and resilience, while also strengthening their position as trusted advisors within increasingly complex customer environments.

Turning modernisation into action

Crucially, this requires a shift in how modernisation is framed, moving beyond migration or optimisation to focus on outcomes such as cost control, risk reduction and AI readiness. Assessment-led approaches are particularly effective here, giving organisations the clarity needed to prioritise investment and move forward with confidence. This is especially important where environments have evolved without a clear strategy, making it difficult to understand where inefficiencies and risks exist.

Ultimately, platform modernisation is becoming the foundation on which future innovation will depend. As CIOs balance cost pressure, operational risk and the need to scale AI, the organisations that succeed will be those that treat infrastructure not as a constraint, but as a strategic enabler of growth and transformation. This requires a more deliberate and structured approach to infrastructure decision-making, ensuring that platforms are designed not just for current needs but for future demand.

For the channel, this is not just another upgrade cycle. It represents a structural shift in how technology is designed, delivered and consumed, and a defining opportunity to lead customers through the next phase of digital transformation.

Partners that can combine technical expertise with strategic guidance will be best placed to support organisations as they navigate this transition and turn modernisation into measurable business value.
 

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