TMUS · Earnings call · 2026Q3T · Full report

AI-Driven Operating Efficiency

T-Mobile US, Inc. · 2026-10-28 · Importance 26 · Surprise 24

Management said AI and digital transformation are being applied to customer care, network optimization, capital-expenditure planning, and the company’s technology stack. T-Mobile is progressing toward a goal announced three years ago to reduce calls into care by 75%, using an AI voice assistant for both call deflection and proactive problem prevention. The company said AI-enabled tools guide all CapEx and that its AI-enabled technology stack has increased throughput while lowering cost to own, including token costs. Management said it is doubling down on this transformation, but did not provide a dollar savings target or timeframe for the full program.

Key facts

• T-Mobile set a goal three years ago to reduce calls to care by 75% and said it is well on track.
• T-Mobile's AI radio resource planning trials in New York produced significant spectral-efficiency gains beyond expectations at many sites.
• T-Mobile uses an AI tool called customer-driven coverage to direct all of its CapEx.
• T-Mobile said its AI-enabled tech stack has increased throughput and reduced cost to own, including token costs.