Expired50% confidenceFactExact time
A 2024 McKinsey survey indicated that approximately 43% of reconstruction costs in enterprise AI projects stem from a failure to design for portability upfront.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/21/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/19/2026(expired)
Sources
Related Claims
VerifiedAccording to Gartner statistics, 30%–50% of maintenance costs in traditional RPA projects come from responding to UI changes.68% similarUnverified麦肯锡2022年研究显示技术债平均消耗工程团队20%至40%的生产力,修复嵌入架构深层的性能问题成本是设计阶段预防的6至10倍65% similarUnverifiedA 2024 McKinsey survey found that fewer than 3% of companies had truly achieved AI-native restructuring.63% similarUnverifiedUsing low-end AI models appears to save money, but due to low output quality and high rework costs, the total cost ultimately ends up being higher.61% similarVerifiedA McKinsey 2024 survey showed that more than 70% of enterprise AI pilot projects failed to scale successfully to production environments60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/584925API
curl https://kongchang.com/api/v1/knowledge/claims/584925MCP
get_claim(id=584925)