AI liability: Leadership pressure and unclear ROI drive risk for MSPs — Tiffani Bova, Futurum Group

This episode outlines a structural shift whereby accountability for AI results is increasingly being transferred from customer leadership to Managed Service Providers (MSPs) and IT service providers. This transfer is being accelerated by internal pressure on client organizations to report AI success while reliable performance metrics remain elusive. Evidence from Futurum Group’s “The New AI Workforce” report and actions by vendors such as Dell and Accenture demonstrate how responsibility and reporting for AI are consolidating under technical teams, often with insufficient checks and unclear governance boundaries.

Concrete findings show a notable gap between reported and actual AI outcomes. Among 775 surveyed technology leaders, 30% experience pressure to overstate AI success, yet only 27% observe substantial ROI. Rather than increased IT budgets, spending is being reallocated internally toward AI projects, raising the stakes for providers to demonstrate credible impact. Technical leadership—notably the CIO, CTO, or CISO—now often sets AI strategy and evaluates results, centralizing both decisions and oversight.

Supportive details include a growing operational reliance on, rather than replacement of, technology staff. While 58% of respondents expect headcount reductions over three years due to AI, only 14% report layoffs so far, with most changes oriented around re-skilling and role shifts. Only 4% rate their teams as fully prepared for AI-first environments. Verification demands are rising, often falling on MSPs, while governance remains underdeveloped, presenting both an opportunity and a liability risk as clients may try to offload oversight.

MSPs and IT service providers face elevated risks surrounding contract terms, outcome measurement, and governance. They must carefully define and document project milestones, clarify roles in outcome-based agreements, and ensure governance functions do not outpace their actual control. Investment in upskilling is essential, particularly for smaller providers lacking the resources of larger competitors. Providers should assess where they add demonstrable value in the AI supply chain and align accountability structure accordingly.

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