Texas Instruments
Analog semiconductor powerhouse with accelerating AI data center exposure. Q1 2026 revenue +19% YoY to $4.83B (beat vs $4.53B expected); EPS $1.68 (beat vs $1.27); data center revenue +90% YoY; industrial +30%. Q2 guidance $5.0-5.4B, EPS $1.77-2.05. Silicon Labs acquisition strengthens edge AI (tinyML, embedded inference). NVIDIA physical-AI partnership (March 2026); 800V GaN data center power architecture showcased at Computex 2026. $60B US fab investment as domestic manufacturing champion.
Scenarios
'Component moat' — even when customers select competitor AI processors, they still design in TI analog/power chips. Data center revenue +90% YoY is direct AI-infrastructure exposure, not adjacency.
Industrial and automotive end markets cyclical, in down cycle. $60B capex creates leverage risk if recovery slower than expected.
Key Factors to Watch
- ●Data center revenue +90% YoY (Q1 2026) — AI infrastructure demand directly lifting analog/power chip volumes
- ●Silicon Labs acquisition strengthens edge AI (tinyML, embedded inference) product line
- ●800V GaN power architecture + NVIDIA physical-AI partnership target humanoid robots, AI servers, automotive
- ●$60B US fab investment + analyst upgrades (Seaport Buy, BofA top pick) — domestic champion positioning
Score History
| Date | Score | Direction | Note |
|---|---|---|---|
| 2026-05-30 | 8.0 | Very Positive | Score 7.7→8.0 (are 6→7). Direction crosses positive→very_positive on Q1 2026 print: revenue +19% YoY to $4.83B, data center revenue +90% YoY, EPS $1.68 (beat). Silicon Labs acquisition strengthens edge-AI product line; 800V GaN architecture + NVIDIA physical-AI partnership cement TI as leading AI power-semiconductor supplier. Materiality gate cleared by Q1 beat and Silicon Labs acquisition. |
| 2026-03-08 | 7.7 | Positive | Score 7.5→7.7 (formula reweight: sb 0.25→0.15, are 0.20→0.25, md 0.20→0.25, dr 0.20→0.25, aam 0.15→0.10) |
| 2026-03-08 | 7.5 | Positive | Initial assessment from batch 6 research |
Manufacturing Peers
Last researched: 2026-05-31
This is research and analysis, not financial advice. Scores reflect AI impact potential, not investment recommendations.