AI scaling ambitions? Start with the foundations in cloud and security

Since ChatGPT burst onto the scene in late 2022, many organizations have now dipped their toes into AI waters. Initial pilot programs have yielded promising results, but the real strategic value lies in scaling these capabilities across the enterprise.

But deploying AI in isolation is a high-risk strategy. To move beyond the experimental phase, IT decision-makers must look at the broader technology ecosystem. You simply cannot create a transformative, future-fit foundation without orchestrating the twin pillars of cloud and cyber security.

The multi-billion pound backbone of AI

To build, train, deploy, and scale complex AI models effectively, businesses require purpose-built cloud infrastructure. Industry analysts increasingly point to the cloud as the absolutely critical foundation for scaling AI, providing the elastic scalability and high-performance compute necessary for generative AI, machine learning, and advanced data analytics.

This shift is fuelling exponential growth. The numbers reflect a fundamental market transformation, according to IDC’s Worldwide Software and Public Cloud Services Spending Guide. Indeed, the analyst firm predicts that European public cloud spending will reach $452 billion by 2029, driven heavily by AI demand.

Specifically, the European cloud AI market alone is projected to grow at a staggering 36% CAGR. For technology partners, this presents a vast opportunity. Customers desperately need strategic advisors who can assess and migrate AI workloads, help them monetise hyperscaler ecosystems like AWS, Microsoft Azure, and Google Cloud, and seamlessly manage AI DevOps (MLOps).

The security imperative and services opportunity

However, deploying AI at this scale fundamentally alters an organization’s risk profile. Complex AI models, integrated APIs, and massive data pipelines elevate the infrastructure's attractiveness to cyber attackers. As a result, 46% of enterprises now rank securing AI workloads as their top infrastructure priority, according to the IDC Future Enterprise Survey of 2025.

AI security is no longer just a defensive measure; it is the enabler of trust, compliance, and reliability. This is accelerating the European cybersecurity market, which is rapidly expanding past the $70 billion mark.

For data-sensitive industries facing stringent regulatory pressures from GDPR, NIS2, and the EU AI Act, robust security is mandatory. Partners have a prime opportunity to step in and deliver critical solutions, from securing hybrid AI deployments and governing AI compliance to protecting the underlying data training pipelines.

Ultimately, the convergence of AI, cloud, and security has created a massive, services-led growth opportunity. Widespread skills shortages mean that end-user organizations simply cannot manage this internally.

They require partners who can deliver a complete lifecycle approach: driving cloud transformation for AI-ready infrastructure, establishing secure data platforms, and providing ongoing managed services to optimize workloads over time.

Overcoming foundational gaps

How do you scale AI whilst also keeping on top of costs and governance, as well as security? How can you combine the power of AI and the cloud to create something truly transformative?

Most partners talk to us about the significant friction they encounter when trying to orchestrate and deploy AI at scale. IT leaders and technology partners frequently face a series of critical foundational gaps. Chief among these is the challenge of complex architectures. Because AI workloads often span multi-cloud, edge, and on-premises environments, they inherently create fragmented infrastructures with inconsistent security controls, inadvertently expanding the corporate attack surface.

Compounding this architectural complexity is a severe operational skills gap. Delivering end-to-end AI solutions requires a converged expertise across cloud infrastructure, machine learning, and cybersecurity, a hybrid skillset that many internal IT teams and traditional resellers simply do not possess.

Furthermore, organizations must navigate mounting regulatory pressures. Meeting these compliance mandates demands rigorous protection of business-critical data, sovereign cloud capabilities, and highly transparent AI governance.

Finally, there is the persistent challenge of cost and lifecycle management. Without strict oversight, AI compute costs can quickly spiral, leaving businesses struggling to maintain the continuous monitoring, performance optimisation, and risk control necessary to achieve a tangible return on their investment.

Bridging the gap with trusted partnerships

You cannot navigate these complexities alone. The solution lies in strong, outcome-driven partnerships, both between end-user organizations and their technology providers, and between resellers and their vendor ecosystems.

This is where a trusted aggregator becomes invaluable. TD SYNNEX is uniquely positioned to help partners fill these operational and capability gaps. By acting as a central orchestrator, TD SYNNEX provides the integrated portfolio necessary to support AI adoption at every maturity stage.

TD SYNNEX’s Professional IT Services across Cloud, Data & AI, and Security offer vast opportunities for partners to move beyond product resale and build higher-margin and recurring revenue streams.

By embedding zero-trust security and cloud-native architecture into their strategies from day one, TD SYNNEX enables partners to lead in AI opportunities with confidence, expertise, and global scale.

Ultimately, AI is only as powerful as the infrastructure that supports it. To truly monetize AI opportunities, you must first master the foundations.

Talk to us today and see how we can help you accelerate AI growth – securely and at scale – Public Cloud: AS Cloud - TD SYNNEX Hub, Security: https://explore.tdsynnex.com/tdsynnex-cybersecurity-and-networking.html, Destination AI: https://hub.tdsynnex.com/destinationai/overview/