B

Below-Average Risk (35–42%)

Industry occupation-mix grade — shared by every Semiconductors & Related Devices employer tracked

BLS + SEC data Semiconductors & Related Devices Industry AI-risk grade B

Texas Instruments Inc

Workforce AI-exposure profile for Texas Instruments Inc: industry grade B (41.4/100), plus SEC headcount and BLS occupation mix.

TXN Semiconductors & Related Devices SIC 3674
Industry AI Displacement Exposure
41.4/100 B

Weighted average O*NET AI exposure score for this industry's occupation mix

Workforce Size
N/A
Not reported in XBRL filings
Industry Classification
Semiconductors & Related Devices
SIC Code: 3674
NAICS Sector: 33-tech
The verdict

Texas Instruments Inc's workforce carries a grade B AI-risk profile (41.4% weighted exposure), 0.5 points below 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.

41.4%
AI exposure
B
Risk grade
33-tech
NAICS sector the grade comes from

Where Texas Instruments Inc sits among tracked employers

Industry occupation-mix AI exposure across the 1,965 public employers tracked. The marker is Semiconductors & Related Devices's value, which every employer we track in that sector shares — it is not a measurement of Texas Instruments Inc specifically.

Where Texas Instruments Inc's industry AI exposure sits

Industry occupation-mix AI exposure across tracked public employers

41.4% Around the middle lower than 44% 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 Semiconductors & Related Devices 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.

A
B
C
D
F

Industry exposure standing

Signature: 41.4/100 (grade B) · industry AI-exposure score (corpus extremity among disclosed peers)

As of May 2026, Texas Instruments Inc sits near the middle on both disclosed headcount and three-year change. Industry grade B (41.4/100) is shared by every tracked employer in Semiconductors & Related Devices. As of May 2026, Texas Instruments Inc (TXN) has no XBRL headcount on file. Industry grade B (41.4/100) from Semiconductors & Related Devices is the primary measurable signal here.

SIC 3674 · NAICS 33-tech · 6 estimated roles; largest share Civil engineering technologists and technicians · sources SEC EDGAR · O*NET 30.0 · BLS industry-occupation distributions.

Estimated Workforce Occupation Mix (Industry Average)

Texas Instruments Inc does not publish its own occupation breakdown, so this reflects the typical occupation mix for other employers in Semiconductors & Related Devices (BLS industry-occupation employment distributions), not company-specific data. AI exposure scores from O*NET Database 30.0.

Occupation Est. Workforce Share AI Exposure
Civil engineering technologists and technicians
SOC 17-3022
30%
39%
Molders, shapers, and casters, except metal and plastic
SOC 51-9195
25%
34%
Software developers
SOC 15-1252
20%
45%
Shipping, receiving, and inventory clerks
SOC 43-5071
10%
60%
Funeral home managers
SOC 11-9171
10%
38%
Security and fire alarm systems installers
SOC 49-2098
5%
26%

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 Texas Instruments Inc's industry?

Texas Instruments Inc (TXN) maps to Semiconductors & Related Devices with a mid-pack industry AI grade B (41.4/100). That score is identical for every tracked employer in the sector. Companies in Semiconductors & Related Devices 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 3674: Semiconductors & Related Devices), 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 Texas Instruments Inc face the most AI risk?

Largest estimated shares in the Semiconductors & Related Devices mix: Civil engineering technologists and technicians (39% AI exposure); Molders, shapers, and casters, except metal and plastic (34% AI exposure); Software developers (45% AI exposure). Treat these as industry-typical roles, not Texas Instruments Inc's published org chart.

How many employees does Texas Instruments Inc have?

Texas Instruments Inc does not disclose employee count in recent XBRL filings. Check the latest 10-K or annual report for a current figure.

Has Texas Instruments Inc had layoffs?

WARN Act layoff notices for Texas Instruments 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 Texas Instruments Inc in?

Texas Instruments Inc is classified under SIC 3674 (Semiconductors & Related Devices), mapping to NAICS sector 33-tech. That classification selects the BLS occupation mix behind the AI exposure grade.

What to do with this

Use Texas Instruments Inc's risk profile above to plan next steps, not just react to the grade.

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.

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce