Market & Regulation
AT&T Automates Workforce Cuts with AI
WIRED AIhigh confidence
Why it matters
- →AT&T's workforce reduction targets illustrate how legacy telecoms are using AI to replace manual labor and legacy infrastructure.
- →The deployment of GeoModeler shows practical enterprise use of generative AI for real-time network optimization.
- →Energy savings from retiring copper networks highlight the environmental and cost benefits of AI-driven infrastructure modernization.
AT&T announced plans to continue laying off staff as it transitions its infrastructure from copper-based landlines to fiber and AI-optimized networks. The company aims to reduce its workforce to approximately 85,000 employees by 2030, citing lower revenue per employee compared to competitors Verizon and T-Mobile. AT&T is deploying generative AI tools like GeoModeler for network adjustments and replacing physical hardware with cloud software from DriveNets. These changes have already cut energy usage by 13.1 percent since 2020 as the company retires energy-intensive copper infrastructure. The strategy reflects a broader industry shift toward automating legacy operations to improve margins and prepare for AI-era connectivity demands.
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