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BreakingHugging Face hack exposes the open-weight AI cybersecurity paradox

Artificial Intelligence

Legacy systems weren’t built for AI agents

Two-thirds of organizations say legacy systems are the main reason they have problems scaling AI, according to the most recent Google Cloud/MIT report. Another 68% also said that legacy systems prevent agents from making fast decisions.

No Jitter

Publisher

Aug 25, 2026 at 5:37 PM UTC · Updated 3 dakika önce · 2 dk okuma

Legacy systems weren’t built for AI agents
Image via No Jitter
Çevriliyor…

No Jitter Brief:

  • Two-thirds of organizations say legacy systems are the main reason they have problems scaling AI, according to the most recent Google Cloud/MIT report. Another 68% also said that legacy systems prevent agents from making fast decisions.

  • About half of the respondents in the report say legacy systems have a negative impact on ROI. "Running AI agents with legacy data systems requires a lot of procurement, infrastructure cost, and engineers to maintain and develop them. That entails massive upfront investment," said Ashutosh Mishra, vice president, data strategy and platform, Deutsche Telekom.

  • "Legacy data was never built to be verified at scale, which AI requires. It was built to run one system, for one purpose, under rules that changed a dozen times and were never fully documented," Daniel Saroff, group vice president, research and consulting, IDC told No Jitter.

No Jitter Insight:

Related:Confluence POINT provides AI-enabled automation alongside existing tools

Legacy data is information stored in outdated formats, decommissioned computer systems, and obsolete or legacy software that is no longer supported by a vendor.

"Estimates based on surveys indicate organizations report 30% or more of their data is legacy data hosted in legacy systems," said Saroff.
Saroff said these systems weren’t built with AI in mind and that they have changed a lot over the years, sometimes without proper maintenance or documentation. He said there are 8 reasons legacy data disrupts AI models:

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