AI BriefingGoogle Cloud survey: Legacy software acts as innovation tax, delaying AI adoption for 49% of enterprises
·2026.11.10 02:43
Key point
A survey of 1,250 IT decision-makers found that on-premises maintenance creates a zero-sum game, diverting resources from AI modernization to legacy patching.
Details
- Legacy on-premises software functions as an "innovation tax," with 49% of respondents reporting it has delayed, reduced, paused, or canceled AI and technology initiatives.
- Routine patching and maintenance of legacy systems create a zero-sum game, consuming engineer cycles that would otherwise be directed toward AI modernization.
- Vendor lock-in is a primary driver of legacy reliance, with 39% of decision-makers citing complex licensing rules or limited negotiating flexibility due to deep provider dependence.
- 80% of leaders agree that a provider's installed base should not determine AI technology choices, while 78% believe previous enterprise technology leaders may not be best positioned for the AI era.
- Recommendations include demanding architectural and provider choice, committing to secure-by-design foundations to eliminate vulnerability classes before shipping, and deploying AI-driven defense like Security Command Center and Mandiant to remediate legacy debt.
- The survey was conducted by Google Cloud and Hypothesis Group among 1,250 enterprise IT and business decision-makers in the United States.
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