The global information technology channel has navigated a tumultuous year, swept along by the exhilarating, yet often unpredictable, currents of artificial intelligence hype. However, according to Dermot McCann, Executive Vice President and General Manager for EMEA and APAC at Kaseya, the industry is now decisively crossing the threshold from mere speculation into a tangible, living, and breathing operational reality. This paradigm shift, McCann asserts, demands a proactive and strategic recalibration of business models, security postures, and service delivery for managed service providers (MSPs) and their channel partners.

McCann’s pronouncements were delivered during a keynote address at Kaseya’s Local Connect event, held on Tuesday at the historic London Docklands Museum. The audience, comprised of seasoned MSPs and key channel partners, was urged to look beyond the daily operational minutiae of ticketing systems and patch management. Instead, McCann focused on the profound, AI-driven evolution that will fundamentally reshape customer expectations and, consequently, the very survival and profitability of the MSP business model. While acknowledging the indispensable nature of day-to-day operational excellence, his address strongly emphasized the strategic imperatives for future success in an increasingly intelligent landscape.

Evolving Business Models: The MSP as an AI Consultant

The traditional definition and operational scope of an MSP are undergoing a significant metamorphosis, expanding and fracturing simultaneously. McCann highlighted a dramatic shift in the nature of client conversations, observing that "Nine out of ten of the customer conversations I’m having at the moment are about your end customers asking you for your opinion on AI. How are you going to deliver AI to the services?" This pervasive client inquiry underscores a fundamental redefinition of the MSP’s role, moving beyond purely technical support to become a strategic advisor on emerging technologies.

This evolving dynamic presents a dual challenge and opportunity. McCann noted that many partners are already pivoting significantly towards professional and consulting services to address this burgeoning demand for AI guidance. However, he cautioned against the wholesale abandonment of the foundational recurring revenue model that has long been the bedrock of MSP profitability. The true, sustainable opportunity, McCann argued, lies in a dual approach: leveraging AI internally to enhance operational efficiency, expand profit margins, and eliminate "day-to-day friction," while simultaneously offering sophisticated AI consulting services without jeopardizing the core managed services that differentiate an MSP’s value proposition. This strategic integration allows MSPs to both optimize their own operations and become indispensable partners in their clients’ AI adoption journeys.

Fighting Fire with Fire: Navigating the AI-Augmented Threat Landscape

The rapid acceleration of innovation in artificial intelligence, while promising immense benefits, also ushers in a new era of sophisticated risks. McCann did not shy away from the darker implications of this AI revolution, candidly describing the current threat landscape as a "hacker’s dream." He elaborated on the increasing prevalence and sophistication of AI-powered cyberattacks, stating, "We know that AI is perpetrating significant threats and significant attacks on our partners." This is particularly evident in the dramatic surge in automated brute-force attacks, which are becoming increasingly difficult to detect and thwart with traditional security measures.

To effectively counter these advanced threats, McCann stressed the urgent need for the channel to fundamentally alter its defensive posture. "We’re having to fight fire with fire," he declared, implying that adopting AI-powered security solutions is no longer an option but a necessity for survival. However, he issued a stern warning against the hasty integration of AI capabilities onto existing technology stacks or the ill-advised attempt to build proprietary AI tools without a robust underlying foundation. The most significant risk in this new AI era, McCann posited, is not a deficiency in innovation, but a critical lack of compliance and security.

"Unless you’ve got the security posture in place to support it, it comes with a lot of risk," McCann cautioned. He emphasized that any AI integration must be meticulously underpinned by rigorous security and compliance frameworks, such as SOC 2, GDPR, and PCI compliance. McCann’s profound concern was palpable when he stated that "playing fast and loose with AI data scares the living hell out of me," highlighting the critical importance of data governance and protection in the age of AI.

The Power of the Connected Data Layer: Unifying for Intelligence

The question then arises: how can MSPs safely and effectively harness the transformative power of AI to automate at scale? For McCann, the answer lies not in the deployment of isolated, niche products, but in the adoption of a holistic, API-first ecosystem. Kaseya’s strategic vision for the future is anchored in the concept of a "connected data layer." By transitioning away from fragmented, multi-vendor environments and embracing a unified platform approach, the IT channel can unlock access to an unprecedented wealth of anonymized telemetry data.

"If you can measure that data that you have, then you can manage it," McCann explained. "Once you can manage it, then you can make decisions on it, and that decision is made through an automation. And that’s really the final piece of how we think about this AI during the future." This interconnectedness is the critical enabler for MSPs to transition from reactive break-fix cycles to proactive, automated service delivery. When disparate systems, such as Remote Monitoring and Management (RMM) tools, documentation platforms, and cybersecurity suites, operate as a single, integrated intelligence hub, the economies of scale multiply exponentially, driving greater efficiency and enhanced service quality.

An Aggressive Yet Secure Adaptation to AI for MSPs

Ultimately, Dermot McCann’s overarching message to the IT channel community was one of aggressive, yet meticulously secure, adaptation. The AI revolution is no longer a theoretical construct confined to futuristic whitepapers; it has evolved into an everyday operational reality that is rapidly dictating the pace and direction of the market. The implications for MSPs are profound: those who fail to adapt risk becoming obsolete, while those who embrace this transformation strategically stand to gain significant competitive advantages.

For MSPs willing to commit to a unified platform approach, a strategy that prioritizes robust security and compliance frameworks, and a willingness to step into the crucial role of AI consultants for their clients, the future holds considerable promise. This proactive stance will not only ensure their continued relevance but also position them as indispensable partners in their clients’ digital evolution. The shift from AI hype to AI reality necessitates a fundamental rethinking of how services are delivered, secured, and strategized. As Kaseya’s EVP and GM emphasized, the time for deliberation is over; the era of intelligent adaptation has arrived. The successful MSPs of tomorrow will be those who have not only understood the potential of AI but have also effectively integrated it into the fabric of their operations and client engagements, demonstrating a clear path forward in this dynamic technological landscape. The London event, a focal point for many of these discussions, served as a clear indicator of the industry’s collective recognition of this pivotal moment.