By 2030, 50% of enterprises are predicted to face delayed AI upgrades and/or rising maintenance costs due to unmanaged generative AI technical debt.
By 2030, 50% of enterprises are predicted to face delayed AI upgrades and/or rising maintenance costs due to unmanaged generative AI technical debt. — This cybersecurity statistic was published by Gartner in November 2025. It covers topics including Shadow AI, 2030 predictions. The original data appears in Gartner Identifies Critical GenAI Blind Spots That CIOs Must Urgently Address . For the full methodology and detailed findings, refer to the original report.
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What does this statistic say?
By 2030, 50% of enterprises are predicted to face delayed AI upgrades and/or rising maintenance costs due to unmanaged generative AI technical debt. This data was published by Gartner and covers Shadow AI, 2030 predictions.
Where does this data come from?
This statistic comes from Gartner Identifies Critical GenAI Blind Spots That CIOs Must Urgently Address , published by Gartner on November 22, 2025. You can view the original report at https://www.gartner.com/en/newsroom/press-releases/2025-11-19-gartner-identifies-critical-genai-blind-spots-that-cios-must-urgently-address0.
What cybersecurity topics does this cover?
This statistic relates to Shadow AI, 2030 predictions. Browse more statistics on Shadow AI or from Gartner.