Below-Average Risk (35–42%)
Industry occupation-mix grade — shared by every Radiotelephone Communications employer tracked
T-Mobile US, Inc.
Workforce AI-exposure profile for T-Mobile US, Inc.: industry grade B (42.3/100), plus SEC headcount and BLS occupation mix.
Weighted average O*NET AI exposure score for this industry's occupation mix
T-Mobile US, Inc.'s workforce carries a grade B AI-risk profile (42.3% weighted exposure), 0.4 points above the 41.9% average across 1,965 tracked employers. That is broadly typical of the industries tracked here; it describes the industry, not this company's own staffing.
Where T-Mobile US, Inc. sits among tracked employers
Industry occupation-mix AI exposure across the 1,965 public employers tracked. The marker is Radiotelephone Communications's value, which every employer we track in that sector shares — it is not a measurement of T-Mobile US, Inc. specifically.
Where T-Mobile US, Inc.'s industry AI exposure sits
Industry occupation-mix AI exposure across tracked public employers
42.3% Around the middle lower than 42% of 1,965 employers
Employers, banded by industry AI-exposure mix
Each bar is a band; taller bars hold more employers. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.
Source O*NET / PlainWorkforce employer industry mix · 2026-05-15
AI Displacement Risk Analysis
Companies in Radiotelephone Communications sit below the typical industry AI-exposure band. Most roles still need dexterity, interpersonal skill, or on-site presence that current AI systems struggle with.
Industry exposure standing
Signature: 42.3/100 (grade B) · industry AI-exposure score (corpus extremity among disclosed peers)
As of May 2026, T-Mobile US, Inc. sits near the middle on both disclosed headcount and three-year change. Industry grade B (42.3/100) is shared by every tracked employer in Radiotelephone Communications. As of May 2026, T-Mobile US, Inc. (TMUS) has no XBRL headcount on file. Industry grade B (42.3/100) from Radiotelephone Communications is the primary measurable signal here.
SIC 4812 · NAICS 51-telecom · 6 estimated roles; largest share Software developers · sources SEC EDGAR · O*NET 30.0 · BLS industry-occupation distributions.
Estimated Workforce Occupation Mix (Industry Average)
T-Mobile US, Inc. does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Radiotelephone Communications (BLS industry-occupation employment distributions), not company-specific data. AI exposure scores from O*NET Database 30.0.
| Occupation | Est. Workforce Share | AI Exposure |
|---|---|---|
| Software developers SOC 15-1252 | | |
| Security and fire alarm systems installers SOC 49-2098 | | |
| First-line supervisors of retail sales workers SOC 41-1011 | | |
| Shipping, receiving, and inventory clerks SOC 43-5071 | | |
| Funeral home managers SOC 11-9171 | | |
| Insurance underwriters SOC 13-2053 | | |
Methodology and scoring detail live on our how we score AI exposure page; occupation hubs sit under Browse all occupations.
Frequently Asked Questions
What is the AI risk grade for T-Mobile US, Inc.'s industry?
T-Mobile US, Inc. (TMUS) maps to Radiotelephone Communications with a mid-pack industry AI grade B (42.3/100). That score is identical for every tracked employer in the sector. Companies in Radiotelephone Communications sit below the typical industry AI-exposure band. Most roles still need dexterity, interpersonal skill, or on-site presence that current AI systems struggle with.
How is the AI risk score calculated?
The score uses the company's primary industry (SIC 4812: Radiotelephone Communications), mapped to BLS occupational employment shares. Each occupation gets an O*NET task-level AI exposure weight; the industry mix is the weighted average. 0 = no exposure; 100 = maximum.
Which occupations at T-Mobile US, Inc. face the most AI risk?
Largest estimated shares in the Radiotelephone Communications mix: Software developers (45% AI exposure); Security and fire alarm systems installers (26% AI exposure); First-line supervisors of retail sales workers (45% AI exposure). Treat these as industry-typical roles, not T-Mobile US, Inc.'s published org chart.
How many employees does T-Mobile US, Inc. have?
T-Mobile US, Inc. does not disclose employee count in recent XBRL filings. Check the latest 10-K or annual report for a current figure.
Has T-Mobile US, Inc. had layoffs?
WARN Act layoff notices for T-Mobile US, Inc. are published by state labor agencies and the U.S. Department of Labor when a covered mass layoff hits the 100-worker threshold. Many quieter workforce changes never appear in WARN.
What industry is T-Mobile US, Inc. in?
T-Mobile US, Inc. is classified under SIC 4812 (Radiotelephone Communications), mapping to NAICS sector 51-telecom. That classification selects the BLS occupation mix behind the AI exposure grade.
What to do with this
Use T-Mobile US, Inc.'s risk profile above to plan next steps, not just react to the grade.
- Compare this employer against another company on AI risk, headcount, and trend using the interactive tool. Workforce comparison tool
- See exactly how the AI risk score above is calculated from occupation-level exposure data. Reading AI exposure scores
- See how every tracked employer ranks nationwide by AI displacement risk. Employer AI risk rankings
AI risk scores are estimates based on industry-level occupation distributions and may not reflect individual employer hiring practices; this is not financial advice.
AI risk scores are estimates based on industry-level occupation distributions and may not reflect individual employer hiring practices. Data sources: SEC EDGAR (company SIC codes) · O*NET Database 30.0 (AI exposure scores) · BLS Employment Projections 2024–2034. This is not financial advice.