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2026-10-08
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2026-10-08 19:44 KST
The Futures

Issue AI is where measuring and predicting technology returns breaks down

Summary

KPMG singles out new AI tools and platforms as the area where organizations find it hardest to predict and measure returns on technology. Many firms, the report explains, are still searching for the use cases that will genuinely change how they operate. HPE's Phil Mottram observes that some companies have found what works and embedded AI into daily business, while many others have not. Survey data shows that traditional return metrics fall short for AI projects, and many executives struggle to show AI value to stakeholders. The measurement difficulty itself therefore becomes an obstacle, since investment is hard to justify when its payoff cannot be clearly tracked.

Classification

Region menusGlobal
Impactscope:global
Time horizon0-3 years (2026-07-26)
Published2026-01
Last updated2026-09-30 12:56 KST

Evidence 2

Constituent trends 2

Directly linked signals 5

Relation types: constitutes · direct_urgent

Public id: fm-bd664bed00a2