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News articleYahoo Finance· January 13, 2026

New DDN Report Reveals 65% of Organizations Are Struggling to Achieve AI Success

View original at finance.yahoo.com
New DDN Report Reveals 65% of Organizations Are Struggling to Achieve AI Success 600 business and IT decision-makers reveal in "The 2026 AI Infrastructure Report" that unified platforms, cloud strategies, energy expertise, and partnerships are the key to unlocking real AI success CHATSWORTH, Calif., January 13, 2026--(…
Opening lines of the source · Yahoo Finance · short snapshot — read the full document at the original

What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

  • 76% of leaders face fundamental data challenges, from legacy infrastructure and siloed datasets

    80% confidence
  • 97% of organizations overwhelmingly agree that cloud infrastructure is essential to scaling AI

    80% confidence
  • DDN enables up to 70% reduction in power and cooling costs by keeping GPUs fully saturated and moving data in parallel

    80% confidence
  • 98% of organizations cite a skills shortage in both IT and data science roles as a major barrier to scaling AI

    80% confidence
  • AI workloads are projected to grow 110% in the next year

    80% confidence
  • More than half of respondents cite cloud as their fastest path to production

    80% confidence
  • Scaling AI is an integration problem, not a compute problem

    80% confidence
  • 83% of organizations say their internal teams are struggling with AI workloads today

    80% confidence
  • The real bottleneck in AI is the data layer underneath, not models and GPUs

    80% confidence
  • 93% of organizations are actively seeking to reduce AI's energy impact

    80% confidence
  • 54% of organizations have delayed or canceled AI initiatives in the past two years

    80% confidence
  • 47% of organizations cite power and cooling costs as their top infrastructure constraint

    80% confidence
  • 65% of organizations say their AI environments are too complex to manage

    80% confidence
  • 72% of organizations rely on third-party expertise to build and manage their AI infrastructure, while just 12% depend solely on in-house talent

    80% confidence
  • Google Cloud Managed Lustre empowers organizations to easily scale AI workloads with latest GPUs and TPUs while reducing complexity

    80% confidence
  • 65% of organizations have abandoned AI projects due to a lack of skills

    80% confidence

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The observation date (2025-12-27) precedes Q1 2026, making it logically impossible to have actual Q1 2026 cash data at that point. Q1 2026 would not end until March 31, 2026. Additionally, the magnitude of the difference ($45.3B vs $132.42) is implausibly large even as a normal quarterly change for Apple. While different fiscal periods can show different values, the timing relationship here suggests a data integrity issue rather than legitimate period-over-period variation.
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