Microsoft Copilot and the Threat to MSP Margins: Ryan Morris on AI-Driven Channel Shifts

The dominant structural shift examined is the erosion of channel-driven value creation in AI offerings, marked by the rapid commoditization of resold AI technologies and a pivot toward consumption-based pricing models. Microsoft Copilot is cited as the most commonly resold AI product by MSPs, with market data showing that 84% of productized AI services among “AI forward” firms rely on this single vendor. The resulting model accelerates value capture at the vendor level, narrowing room for differentiated service or margin at the partner level. This consolidation pressures MSPs to shift from traditional product resale to enablement and operational integration or risk disintermediation.

The primary development highlighted is the widespread lack of substantive AI go-to-market offerings among MSPs. According to analyzed web positioning data, 61% of MSPs do not mention AI offerings on their sites, and among those that do, the majority use vague or unscoped “AI solutions” language without concrete services behind them. Only a small subset offers named, productized AI services. Of these, the overwhelming reliance on Microsoft Copilot underscores a lack of channel-developed solutions and points to a market structure where vendors, rather than partners, capture much of the economic value.

Supporting developments reinforce both the risk and inertia present within the channel. Ryan Morris outlines that true differentiation will require MSPs to develop packaged offerings around governance, financial controls, and vertical-specific business outcomes, yet early market activity shows little movement in these directions. The discussion emphasizes the potential for cost overrun through uncontrolled AI consumption, echoing past cycles from telecommunications to cloud. Efforts by large vendors to staff direct AI engineering resources are framed as a threat only to the top enterprise tier, with the bulk of SMB delivery left to service providers—albeit within a model now driven heavily by consumption volume and efficiency calculations.

Operational implications for MSPs and IT leaders include increased pricing pressure and possible margin erosion as customers optimize consumption and as vendors streamline direct monetization of AI. There is a growing need for internal and customer-facing governance structures to manage data use, financial exposure, and compliance. Channel partners that limit themselves to product resale risk commoditization, while those able to package and deliver business-integrated AI services may find more durable value. The episode underscores the urgency for MSPs to clarify and productize their AI engagement—not simply as a differentiator, but as a defensive strategy against margin compression and vendor dependency.