// AI news · 2026-11-10 · Google Cloud AI/ML
Legacy Software Hinders Enterprise AI Adoption
Enterprise reliance on on-premises legacy software hinders AI adoption, with 49% of respondents reporting delays or cancellations of AI initiatives.
Published 2026-11-10 01:00 (Beijing time)Source Google Cloud AI/MLAuto-summarised, fact-checked against source
01Summary
Routine patching creates operational bottlenecks as vulnerability discovery outpaces human response. Leaders stress the need for architectural choice and secure-by-design systems, advocating for best-of-breed AI solutions independent of legacy desktop environments.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- 49% report AI projects delayed or canceled due to on-premises software.
- Routine patching overwhelms security teams as vulnerabilities emerge faster.
- 80% believe vendor installed base shouldn't dictate AI technology choice.
- Need for secure-by-design and AI-driven remediation of legacy systems.
03Source
New survey finds enterprises trapped between legacy software and AI modernization
Google Cloud AI/ML · published 2026-11-10 01:00 Beijing time
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