AI is creating a divide in the MSP market, and the gap is widening
by Christian Nagele
Artificial intelligence (AI) is redefining the SMB market. From automating administrative tasks to improving customer service and decision-making, the promised gains in efficiency and productivity have left businesses eager to capitalize on AI.
Yet whilst AI adoption is accelerating among SMBs, not all MSPs have responded to this demand by productizing AI as a service. MSPs vary widely in scale, technical capabilities and maturity. Now, AI is creating a further division, drawing a line between providers that are evolving into strategic AI advisors and those that remain focused solely on traditional IT support.
The most successful MSPs are providing customers with support by helping them navigate the complexities of AI adoption, guiding them through security, governance and user enablement, while others are struggling to adapt to increasing demand, taking a more hands off approach to AI. For SMBs seeking real value from AI, that distinction now matters more than ever.
SMB customers, quite simply, need more than deployment. Purchasing a Microsoft Copilot or other AI platform license is fairly straightforward, yet the real value lies in how these licenses can unlock long-term business value. Most SMBs can see the potential benefits of AI, but they lack clear understanding of how they can optimize rollout, implementation and ongoing usage of it.
Practical questions that extend beyond AI implementation often lie unanswered. How should AI be used within different departments? Which business processes should be priorities? What data can AI safely access? With no dedicated AI specialists or data governance teams, SMBs now look to their MSP for what they expect to be expert guidance.
An opportunity therefore opens for MSPs that are willing to expand their role beyond infrastructure management. The MSPs gaining traction in the AI era are those which are positioning themselves as trusted advisors, focusing on helping customers understand how these tools can align with their wider business on top of just enabling AI tools. They provide strategic guidance, implementation support, user training, governance frameworks and ongoing optimization.
By contrast, those MSPs that merely deploy the technology and move on are risking being viewed simply as license resellers rather than strategic partners.
Security at the foundation
One of the most significant concerns around AI adoption is security. If organizations have little visibility into their data or poorly manage access permissions, AI can expose previously hidden risks. With employees having access to sensitive information, data can be inconsistently stored across the organization. This results in new vulnerabilities being exposed.
Again, an opportunity opens for MSPs.
MSPs now have the chance to demonstrate genuine expertise by leading their AI implementation conversations with security readiness. To ensure secure and successful AI rollouts for customers, MSPs need to assess data governance practices, review identity and access management controls and evaluate compliance requirements. This approach positions the MSP as a critical enabler of safe AI adoption.
As organizations become more aware of the risks associated with AI, security-led guidance will become one of the most valuable services MSPs can offer.
Responsible AI
Beyond the realms of security, SMBs must also be mindful of how AI is used responsibly. While many view AI outputs as completely reliable, in reality AI can generate inaccurate responses, misunderstand context or simply produce content that requires diligent human review. Without acknowledging or recognizing these limitations, businesses leave themselves open to operational and regulatory risks, ultimately putting their reputation on the line.
Responsible AI adoption requires clear policies and governance, as well as effective ongoing employee education. Users must gain a full understanding of when and where AI can assist, and where human judgement should take precedence. Whilst traditionally, MSPs have provided little support in this area, it is rapidly becoming essential components of successful AI strategy.
Providers that gain the upper hand will already be developing AI governance services which help customers establish clear rules around AI usage. This can include acceptable-use policies, employee training programs and direction in how businesses can implement policies which encourage innovation and simultaneously reduce risk. MSPs that provide practical guidance on responsible AI can then differentiate themselves from those which fail to do so, thereby gaining the upper hand in a crowded market.
Productivity is not autonomous
Many businesses assume that once AI is implemented into their operations, productivity will follow suit. The reality is not so simple. Achieving measurable AI enhanced outcomes requires planning and training, as well as ongoing optimization. Employees may be left struggling to identify the most valuable use cases of AI, meaning adoption becomes inconsistent. Businesses may see fragmentation in how well various teams have used AI, with some fully embracing it and others failing to incorporate it into their day-to-day work.
MSPs which address this challenge before it even arises will see the strongest results. MSPs should work alongside customers to identify practical use cases, create adoption plans and deliver training based on measurable outcomes. Whether it is reducing administrative workload or improving operational efficiency, they can help organizations understand how AI can improve specific business functions and support individual employees.
By holding a focus on business outcomes as much as technical implementation, MSPs can demonstrate clear value and strengthen customer relationships.
AI will redefine, not replace MSPs
While automation will undoubtedly reduce time spent on routine IT tasks, the growing speculation that AI could eventually replace some traditional MSP services is misplaced. AI is not eradicating the MSP but rather is raising the bar for customers’ expectations.
The increasing automation of routine support activities will leave space open for MSPs to focus on advisory services, which in turn are becoming even more valuable. Customers will be expecting partners to guide them through AI readiness and optimization, rather than simply managing infrastructure.
MSPs best positioned for long-term success will be those which provide technical expertise with strategic guidance. They will help customers navigate not only the technology itself, but the organizational changes required to achieve meaningful results.
The acceleration adoption of AI is drawing a clear divide in the MSP market. One side sees providers investing in AI readiness assessments, governance frameworks, security services and user enablement, defining themselves as trusted advisors by creating new opportunities for growth. These are the MSPs that will become indispensable AI partners for their customers.
The other side leaves those providers which continue to focus solely on traditional IT support and software deployment and will likely struggle to retain value in an increasingly competitive space.
Christian Nagele is chief strategy officer at inforcer
