Most MSPs Struggle to Find ROI from AI Adoption
A new Nerdio survey reveals that while many firms are adopting AI, few report significant productivity gains.
Updated on Oct. 20, 2026 in Artificial Intelligence
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Do you believe integrating AI tools into your daily workflow is worth the added operational complexity?
A 2026 report from Nerdio finds that only 12% of managed service providers (MSPs) see measurable productivity gains despite rising AI adoption rates. While 32% of firms have already implemented AI tools, many struggle to translate these investments into actual business results.
Why it matters
Adopting AI tools in isolation is failing to boost productivity because many MSPs have not addressed underlying operational inefficiencies. As Microsoft management complexity grows, firms are finding that their current operating models are the primary barrier to scaling successfully.
Only 12% of surveyed MSPs report measurable productivity gains from AI, while just 14% maintain a revenue-generating AI service line. Additionally, 52% of commercial-platform users onboard new clients with three or fewer portals.
The players
Nerdio
Nerdio is a software company that provides management platforms for Microsoft 365 and Azure environments.
The details
The survey highlights that 29% of MSPs managed to grow their customer base over the past year without adding engineering headcount, though 29% simultaneously lost technicians to burnout. Findings suggest that utilizing commercial management platforms is more efficient than native tools, with 52% of commercial-platform users requiring fewer portals for onboarding compared to 22% of native-tool users.
Timeline
The State of the MSP Business Report was published in 2026.
29% of providers grew their customer base without adding engineers over the past 12 months.
29% of firms lost staff to burnout during the past 12 months.
46% of MSPs plan to pilot or adopt AI tools within the next 12 months.
The Tech Race
This data marks a turning point where MSPs must pivot from basic AI adoption to refining operational frameworks to stay competitive. The industry is moving away from manual, tool-heavy workflows toward automated platforms as complexity in cloud environments outpaces human capacity.
MSPs are currently weighing whether AI investment will lead to genuine efficiency or simply add to technical debt. Customers may see improved onboarding speeds if their service provider shifts toward centralized commercial platforms rather than relying on fragmented native tools.
The takeaway
Firms should prioritize standardizing their internal governance frameworks before assuming AI will solve scaling issues. Improving operational processes appears to be a more immediate path to productivity than deploying new software tools alone.
Further reading
Explore more industry trends on the Artificial Intelligence page.
Live Poll
Do you believe integrating AI tools into your daily workflow is worth the added operational complexity?
