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麦肯锡:2026电信运营商AI拐点:领先企业的价值获取之道研究报告(英文版)(16页).pdf

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1、Technology,Media&Telecommunications Practice Telcos AI inflection point:What leaders do to capture valueAgentic AI offers telcos a potential opportunity to reorient their recent trajectory.The question is whether they can redesign their organizations enough to make the most of it.March 2026This arti

2、cle is a collaborative effort by Benjamim Vieira,Guilherme Cruz,Ignacio Ferrero,and Toms Lajous,with Borja Belda,Daniela Mendoza,and Manuel Palacios,representing views from McKinseys Technology,Media&Telecommunications Practice and QuantumBlack,AI by McKinsey.For more than a decade,telecom operators

3、(telcos)have pursued successive waves of digital transformation to offset slowing growth,rising capital intensity,and limited product differentiation.Most delivered incremental gains,but not the type of overarching structural change that the industry requires at a time when the pace of innovation,co

4、mpetition,and challenging secular issues show no signs of slowing down.Agentic AI may be the first technology capable of altering that trajectory.Unlike earlier automation tools that improved individual tasks,AI agents have the potential to reshape entire workflows,even helping make operational deci

5、sions and coordinate work across functions.This shifts AI from being a powerful productivity tool to a full-scale execution layer that can fundamentally change how telcos design operations,deploy capital,and create value.The question for telco leaders is no longer so much about where exactly to appl

6、y AI,but how to redesign the enterprise to operate with and optimize it.Over the past few years,much of the sector has learned the hard way that there is no quick way to make that happen.But even as most telcos have failed to gain real value from their growing AI investments,rolling out too many fra

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1. **AI转型机遇**:电信运营商面临增长放缓、资本密集和产品同质化挑战,代理式AI(Agentic AI)有望重塑工作流,成为行业转折点,5年内可提升ROIC和EBITDA margins最高10个百分点。 2. **当前现状**:仅57%的运营商实现AI用例跨领域规模化(如客服、网络),仅16%将AI视为“新常态”;51%认为AI是颠覆性技术,但多数仍处“投入未产出”阶段。 3. **关键挑战**:76%的运营商指出 immature operating models(不成熟运营模式)、数据限制和变革管理不足是主要障碍。 4. **成功要素**: - **预算绑定**:AI需明确关联财务目标(如客服、IT领域2030年预计成本降低30%)。 - **流程重构**:从任务级而非流程级重新设计工作流,消除冗余环节。 - **角色定义**:明确AI与人类协作分工,91%的岗位需重新设计。 - **AI工厂**:通过标准化组件(如共享代理框架)加速规模化,避免碎片化。 5. **未来方向**:构建知识框架(如本体论)让AI理解业务逻辑,实现端到端自动化决策。
AI如何重塑电信业? 电信AI价值在哪? 电信AI如何落地?
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