Is AI Useful? Evidence, use cases and free guides

Can AI create value if AI companies lose money?

Infrastructure economics can be ugly while users capture real value. A serious answer should steelman the supply-side warning without treating it as a usefulness test.

Why does ownership of AI compute matter?

AI systems depend on chips, power, data centres and networks. Those inputs shape cost, resilience and who can operate capable systems. The practical question is not who owns one chat product. It is who can secure enough compute, on acceptable terms, for the work that matters. Scenario stress test · Europe 2031

Why are enterprises choosing private AI?

Cost, workload placement and security concerns are pushing buyers toward more control. These surveys are directional, four are vendor-published or vendor-hosted, and none proves private infrastructure is always cheaper or safer. 01 · Cost Cost parity is already being questioned. 60% cited on-premises AI as lower in cost or equal in cost to public-cloud AI services.

What does “AI is useful” actually mean?

Our verdict is intentionally split. These are editorial assessments grounded by the evidence on this site, not market forecasts or percentage scores.

How do you measure AI ROI for one workflow?

Count only savings that survive review and actually change how work is done. This version discounts claimed time savings and includes ongoing operating cost. Do count: net saved time, genuinely retired subscriptions, avoided external spend and measurable throughput. Do not count: impressive demos, time nobody can redeploy, hypothetical headcount reduction or gross savings before correction.