Northwire Canada EditionThursday, October 15, 2026
Northwire
⌕
GOLD 4107.90 −1.7% SILVER 55.88 −6.1% COPPER 6.62 −1.6% OIL 95.09 +1.0% PALLADIUM 1096.50 −2.7% CIA 2.64 −0.4% BTO 7.09 −4.3% MCI 0.155 +0.0% CAN 0.065 +0.0% BLDS 0.335 +8.1% SAO 0.050 +0.0% SF 0.315 +0.0% BEA 0.055 −15.4% BMM 3.90 +11.1% AUGC 0.295 −13.2% MFG 3.34 −3.8% CDE 21.33 −7.7% CYG 0.160 −5.9% RSMX 0.100 −4.8% TUF 0.830 −5.7% GPG 0.285 −3.4% GOLD 4107.90 −1.7% SILVER 55.88 −6.1% COPPER 6.62 −1.6% OIL 95.09 +1.0% PALLADIUM 1096.50 −2.7% CIA 2.64 −0.4% BTO 7.09 −4.3% MCI 0.155 +0.0% CAN 0.065 +0.0% BLDS 0.335 +8.1% SAO 0.050 +0.0% SF 0.315 +0.0% BEA 0.055 −15.4% BMM 3.90 +11.1% AUGC 0.295 −13.2% MFG 3.34 −3.8% CDE 21.33 −7.7% CYG 0.160 −5.9% RSMX 0.100 −4.8% TUF 0.830 −5.7% GPG 0.285 −3.4%
Other

Legacy Data Infrastructure Is Driving $108 Billion in Annual Wasted AI Investment, New Survey Finds

6501 · Price

Executive Summary

  • Hitachi Vantara’s new “State of Data Infrastructure” report finds that data‑complexity issues are causing an estimated $108 billion in wasted AI investment annually across the U.S. and Canada.
  • The survey of 1,200+ C‑level executives shows 84% say data infrastructure complexity is growing too fast to manage, with only 43% reporting predictive or automated operations.
  • Organizations classified as “data‑mature” achieve markedly higher AI ROI (84% vs. 48%) and are far more likely to view AI as critical to their business.

Key Details

  • Survey Scope: Over 1,200 executives across 15 countries; 307 respondents from the U.S. and Canada.
  • Key Findings – Complexity:
  • 84% report rapid or unmanageable growth in data‑infrastructure complexity.
  • 57% say this complexity makes identifying data breaches harder.
  • 59% fear catastrophic data loss; 50% say executives would lose sleep over the risk.
  • Automation Gap: Only 43% have predictive/automated infrastructure operations.
  • Data‑Maturity Split (U.S./Canada):
  • 42% “data‑mature” (managed/optimized practices).
  • 58% in emerging or fragmented stages (“data laggards”).
  • AI ROI by Maturity:
  • Data‑mature firms: 84% report measurable AI ROI.
  • Data laggards: 48% report measurable AI ROI.
  • Drivers of Success:
  • High‑quality data cited by 59% overall, rising to 75% among mature firms vs. 47% for laggards.
  • 87% of mature firms have strong leadership vision for data/AI initiatives.
  • Automation adoption: 65% of mature firms vs. 27% of laggards.
  • Sustainable design/resilience: 82% vs. 19%.
  • Leadership Insight:
  • Octavian Tanase (Chief Product Officer) emphasizes governance, visibility, and control as critical as performance for AI success.
  • Sheila Rohra (CEO) notes that AI succeeds when data is trusted, well‑governed, and resilient.
  • Investment Outlook: Executives expect AI investment to grow 76% over the next two years, intensifying pressure on data infrastructure.

Notable Quotes

“AI is raising the bar for how organizations govern and manage their data,” – Octavian Tanase, Chief Product Officer, Hitachi Vantara.

“As AI becomes central to how every business operates, leadership has to treat data foundations as a strategic requirement, not just a technical concern,” – Sheila Rohra, CEO, Hitach​i Vantara.

Read the original news release →

More from None