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您的人工智能试点项目进展顺利，但人工智能战略并未奏效。

Executive summary

大多数企业都在运行人工智能，却很少有人将其规模化推广应用。

Gartner《增长议程调研》显示，“信心-执行鸿沟”正在不断扩大。企业上报的人工智能使用率偏高—而这大多只是指各类试点项目；受结构性障碍影响，企业对于人工智能能否规模化交付战略性成果，仍然信心不足。

这份免费的 Gartner® 报告梳理出横亘在人工智能试点项目与全企业范围价值之间的四项结构性障碍，并为管理者提供一套方案，将人工智能视为覆盖全部项目组合的能力，而非一堆互不关联的试验项目。

Why confidence in AI lags adoption, and the four structural blockers driving the gap: unclear strategy, unproven ROI, skills, and platform maturity.
Organizational readiness lags: 26% of executives in our survey point to “organizational readiness” and a “lack of clear AI strategy” as critical roadblocks to moving beyond isolated experiments Scale is blocked by people, skills and data, not model access: “Skills or talent gaps” represent the single largest internal barrier to scaling AI, identified by 37% of organizations.
Confidence is stuck behind ROI proof: Despite high usage, 30% of enterprise growth leaders cite a “lack of tangible results or proven ROI” (e.g., sales conversion rates, depth of wallet increases, customer retention, revenue uplift, etc.) as the primary reason for low confidence in AI success.

Gartner，《弥合人工智能执行鸿沟：问题不在于模型，而在于机制》，David Furlonger、Andy Rowsell-Jones，2026 年 4 月 19 日。