Issue AI is where measuring and predicting technology returns breaks down
Summary
KPMG identifies new AI tools and platforms as the point at which predicting and measuring technology return becomes hardest, making the measurement problem itself, rather than the technology, the obstacle to further investment.
Classification
Main topicMacroeconomy & Finance
Region menusGlobal
Impactscope:global
Time horizon0-3 years (2026-07-26)
Last updated2026-07-29 04:49:52
Evidence 2
- Global tech report 2026: Leading in the Intelligence Age - Excelling today, shaping tomorrow KPMG International page=13;section=Realizing value from tech investment / New measures for AI ROI 2026-01 accessed 2026-07-26
- Global tech report 2026: Leading in the Intelligence Age - Excelling today, shaping tomorrow KPMG International page=13;section=Realizing value from tech investment / New measures for AI ROI 2026-01 accessed 2026-07-26
Constituent trends 2
Directly linked signals 5
- Signal13 percent of high performers lack business sponsorship against 60 percent of the rest
- Signal17 percent of high performers struggle to communicate AI value against 57 percent of the rest
- Signal55 percent struggle to demonstrate the value of AI to stakeholders and shareholders
- Signal58 percent acknowledge that traditional ROI measures do not fit AI projects
- Signal74 percent see business value from AI but only 24 percent achieve ROI across use cases
Relation types: constitutes · direct_urgent
Public id: fm-bd664bed00a2