
0 plays · Nov 6, 2026
The core structural shift identified is the widening gap between increased AI spending by MSPs and measurable business value. According to TD SYNNEX’s global survey of over 1,500 technology resellers, two-thirds are accelerating AI investment, but only one in five derives meaningful revenue. The value of AI does not come from buying licenses but from rebuilding specific processes—something most MSPs have yet to achieve at scale.
A key development is consolidation-driven investment: Lyra Technology Group, backed by Evergreen, is embedding over 50 AI engineers within its MSP portfolio by 2027. This enables rapid in-house process redesign and service innovation, a tactic most independent MSPs cannot financially match. Lyra's approach leverages access to permanent capital to fund upfront engineering efforts before client revenue materializes.
Supporting evidence confirms that few AI pilots reach production—only 13% according to TD SYNNEX—and that discussions within MSP circles remain subdued, with most usage limited to simple applications like email drafting. Practical success stories, such as custom tools that significantly cut internal processing hours, required extensive internal investment and experimentation rather than simple license acquisition.
For MSPs and IT service providers, these trends shift accountability and risk to the operator. Simply selling AI seats or access does not result in demonstrated value or renewal justification. Sustainable advantage depends on successfully implementing and documenting AI-driven process changes internally before offering them as client solutions. This raises the bar for governance, internal investment, and credibility in AI-related projects.
00:00 Where’s the AI Payoff?
03:58 The Value Lives in the Process
06:37 Who Can Afford to Go First
10:00 Why Do We Care?
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13:180 plays · Nov 10, 2026
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