@indigox: Nearly two-thirds of companies worldwide are already piloting agents, yet fewer than 10% have scaled them to deliver real value. The culprit: shaky data foundations. McKinsey’s new piece, “Building the foundations for agentic…
Summary
McKinsey report finds that while two-thirds of global enterprises are experimenting with agentic AI, fewer than 10% achieve scalable impact, blaming weak data foundations.
View Cached Full Text
Cached at: 04/21/26, 11:05 AM
Nearly two-thirds of enterprises worldwide are already experimenting with Agents, yet fewer than 10 % have scaled them to the point of delivering real, measurable value. Almost every roadblock leads to the same culprit—an unstable data foundation. Recommended reading: McKinsey’s “Building the foundations for agentic AI at scale,” which explains how to lay the groundwork for Agentic AI at enterprise scale. The article highlights two emerging Agent architecture patterns: single
Similar Articles
Creating AI value with enterprise context
MIT Technology Review Insights 在 Atlan 赞助的报告中指出,多数企业虽已使用 AI,但仅 16% 获得变革性价值,关键缺失在于让 AI 理解业务的『上下文层』架构。
Connecting AI agents to enterprise knowledge
A survey of 300 tech and AI executives finds that only about 34% of agentic AI projects reach production, with data fragmentation and missing organizational context as key bottlenecks — pointing to knowledge layers, RAG, and knowledge graphs as the priority investments to connect agents to enterprise data.
Agentic AI in Big Tech and Enterprise
A firsthand perspective from an enterprise R&D manager on the realities of AI adoption in large companies, highlighting gaps between executive expectations and actual productivity improvements, and the challenges of getting teams to use AI tools effectively.
We reviewed 18 enterprise AI adoption reports. Here's what they all agreed on.
A review of 18 enterprise AI reports from 2025-2026 highlights that most organizations plan to deploy agentic AI soon, but governance and operational readiness remain major barriers, with 88% of AI agent pilots never reaching production.
Agent confidence on the technical frontier
Enterprise investment in AI is surging, with Gartner calling 2026 an inflection year. A new Microsoft-commissioned report examines tech teams' confidence in deploying agentic AI across cloud, data, and AI workflows, finding high confidence for measurable tasks but gaps in complex judgment due to insufficient business context.