Top 10 AI Infrastructure Questions Every CIO Should Be Asking

Only 4 of every 33 AI proofs-of-concept reach production (IDC, 2025). The other 29 stall — not because the model failed, but because no one asked the scaling questions early enough. This guide gives you the ten that decide the outcome, with the evidence behind each.

The hard numbers

• 85% of AI project failures trace to poor data quality — Gartner
• 63% of organizations have no AI governance policy — IBM, 2025
• 28% of AI use cases fully meet ROI expectations — Gartner, 2026

What’s inside

• Whether you’re building AI experiments — or enterprise AI capability
• What happens to infrastructure when 100 users become 10,000
• Public, private, hybrid or sovereign: which workloads belong where
• The AI security and governance risks a traditional checklist won’t catch
• The true cost of AI in production — beyond the model
• Who operates it after go-live: the 70% of AI success most plans ignore
• Industrial AI: extending beyond the office into plant, warehouse and field

10-minute read. Written for CIOs, CTOs and infrastructure leaders across Singapore & APAC.