Building the "Pipeline" for AI: Why Most Corporate Pilots Fail — and Why China Is Betting Everything on Diffusion
· Source: quasa.io
In short
A 2025 MIT NANDA report reveals that 95% of corporate generative AI pilots failed to deliver measurable ROI, primarily due to organizational resistance and failure to move from experimentation to production. In contrast, China's 15th Five-Year Plan (2026–2030) frames AI as a "new quality productive force" with ambitious penetration targets, prioritizing infrastructure, integration, and diffusion over isolated model development. The article argues that the real challenge for AI is not inventing better models but building the systemic "pipeline" — including compute, data standards, and workflow redesign — to enable large-scale deployment across the economy.
Read Original Article — Read the full article on the publisher’s site.
In the issue of week 28, 2026: AI-Driven Hyperautomation Reshapes Global Supply Chain and Logistics Operations
Tags: AI adoption, infrastructure, diffusion, logistics, China, enterprise