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AT&T Automates, Cuts Jobs as It Modernizes Telecom Infrastructure

Telecommunications giant AT&T is reducing its workforce and phasing out legacy services as it adopts artificial intelligence and cloud technologies. The company anticipates significant cost savings and network improvements.

23 September 2026
AT&T Automates, Cuts Jobs as It Modernizes Telecom Infrastructure

Telecommunications giant AT&T is continuing to shed jobs and phase out old services as it transitions into the artificial intelligence (AI) era. The company has been streamlining operations by decommissioning its traditional landline networks and implementing AI to automate internal processes.

AT&T Chief Technology Officer Jeremy Legg confirmed that the company's headcount will be lower in five years than it is today. This decision is also influenced by the actions of competitors like Verizon and T-Mobile in reducing their workforces. AT&T's revenue per employee has lagged behind its rivals, driving the need for efficiency improvements.

The company has already significantly reduced its workforce over the past decade. In the first half of 2026, approximately 2,100 jobs were eliminated. By the end of 2030, AT&T aims to be a "dramatically different" company with an enhanced fiber internet service and a robust wireless network.

Automation efforts target areas such as customer service and network management. An AI system named GeoModeler, for instance, adjusts network settings in real-time. Additionally, AT&T is replacing physical network hardware with cloud-based software, enabling remote management and reducing the need for on-site maintenance. This shift is expected to lead to the elimination of various middle management and junior developer roles.

The company is also decommissioning its energy-intensive copper-based landline network, a process requiring regulatory approval. AT&T expects to no longer offer copper services in over 85 percent of its footprint by the end of this year. These changes reflect a broader trend in the telecommunications industry, where AI is being utilized to enhance operational efficiency and profitability.

Original source: wired.com