塔塔咨询服务（TCS）：2026电信行业人工智能应用现状与未来展望报告（英文版）（20页）.pdf

1、The state of AI adoption in Telecom and the road aheadTelecoms primary AI battleground,preferred approach,risks,and the way forwardArtificial intelligence is rapidly becoming pivotal to how telecom operators modernise networks,engage customers,and run the enterprise.As AI moves beyond experimentatio

2、n,telecom leaders are increasingly focused on scaling its impact across core operations while addressing the constraints of legacy infrastructure,regulatory requirements,and talent availability.This research examines how telecom operators across North America,Europe,APAC,and MEA are adopting AI,wher

3、e value is being realised,and what is limiting progress at scale.The findings reveal a decisive shift towards enterprise-wide AI deployment.However,the adoption is uneven.While investment intent is strong and confidence in returns is rising,legacy systems,governance complexity,and skill gaps continu

4、e to shape the pace and form of AI deployment.As a result,operators are rethinking their operating models,partnerships,and deployment approaches to optimise and expedite outcomes.Together,these insights highlight a defining moment for the telecom industry,one in which AI is no longer an optional cap

5、ability,but a foundational enabler of future competitiveness.of telcos are in the AI pilot phase.The state of AI adoption in Telecom and the road ahead02Core findings from the study:19%remain in exploration,while a considerable number of them are in the process of scaling deployments.Network&operati

6、ons is the leading AI adoption area in Telecom,followed by customer experience(CX).Foreword of telcos are exploring potential use cases of agentic AI,resulting in broad early traction for the technology.55%of respondents cite modernising legacy systems as a key focus for AI use within the IT functio