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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

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  • 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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Frontier AI Slowdown Call Splits Industry, Rattles Capex-Sensitive Markets
Anthropic's Dario Amodei publicly called for a coordinated global slowdown in frontier AI development, a stance Microsoft echoed with a 'humanist' AI code of conduct, but Nvidia and Meta's CEOs rejected any coordinated pause days later, exposing a widening rift between safety-focused and growth-focused AI leaders. The dispute landed amid growing financial scrutiny of AI infrastructure spending — a hyperscaler capex analysis, FTC warnings against antitrust waivers for AI firms, and an 8.6% single-day stock drop in GE Vernova tied directly to the slowdown remarks — signaling investors are newly nervous about whether the AI capex boom (including Alphabet's projected $701B revenue narrative) can be justified if the pace of development itself becomes contested.
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Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
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ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
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