Expired50% confidenceFactExact time
Research from institutions such as McKinsey and Goldman Sachs indicates that the actual ROI realization of enterprise AI investment faces resistance from integration complexity, accuracy limitations, and process restructuring.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/16/2026
First Seen
Valid until: 10/14/2026(expired)
Sources
Related Claims
UnverifiedStanford University's AI Index Report points out that the bottleneck of enterprise AI application is shifting from 'single-point capability' to 'process integration'.79% similarUnverifiedMultiple surveys on enterprise AI adoption conducted in 2023 noted that concerns about the unpredictability of AI decision-making are one of the primary factors hindering enterprise deployment of AI systems.78% similarUnverifiedMcKinsey research shows that enterprises with the fastest adoption of AI tools face three major internal challenges: accelerating skills stratification, loss of quality control, and data security risks.76% similarUnverifiedThe scale of investment by major tech companies in AI safety still lags by orders of magnitude compared to their investment in model capability development.75% similarUnverified麦肯锡将企业AI成熟度分为四级：单点试验、规模化部署、全流程整合和AI原生74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/526503API
curl https://kongchang.com/api/v1/knowledge/claims/526503MCP
get_claim(id=526503)