Analog chip leader; AI inference on edge drives demand, but enabler position limits outcome capture.
Live quote sourced from Yahoo Finance. Prices cited in narrative below reflect the original memo date and may be stale.
Texas Instruments designs and manufactures analog, logic, and embedded-processor semiconductors. Thesis angle: AI-driven embedded systems (industrial IoT, automotive, power management) increase demand for TXN analog chips. AI outcomes (predictive maintenance, energy optimization) require edge-compute infrastructure that TXN enables. However, TXN is enabler (chip provider), not outcome vendor. Outcome pricing and capture accrue to OEM and system integrator, not TXN.
Texas Instruments is a mature analog/industrial semiconductor company with orthogonal positioning to the Sequoia thesis. It does not sell autopilots, does not enable custom silicon, and benefits only tangentially from edge-AI. The thesis barely applies; TXN is a neutral on thesis grounds.
Texas Instruments' analog and embedded chips enable sensor fusion, industrial automation, and automotive control systems. AI-enabled ADAS and predictive maintenance in factories create incrementally higher analog content. But this is not outcome-priced work; it is commodity sensor and control logic.
| Segment | Revenue % | AI exposure | Thesis fit |
|---|---|---|---|
| Analog chips (power, signal) | ~60% | Low | Orthogonal |
| Embedded processing | ~25% | Medium (sensor fusion) | Tangential |
| Other | ~15% | Low | Orthogonal |
Manufacturers are investing in predictive maintenance, sensor networks, and edge intelligence. TXN is a Tier-1 supplier to this wave.
EVs require more power management, signal conditioning, and embedded controllers than ICE vehicles. TXN benefits from content expansion in a growing TAM.
TXN's 45-50% gross margin and 60%+ operating leverage on incremental revenue are among the best in semiconductors, driven by process maturity and scale.
The Sequoia thesis does not apply. TXN's growth is driven by end-market capex cycles (factory automation, vehicle production), not by any autopilot adoption.
TXN trades at 18-20x forward earnings — a fair multiple for low growth. Any industrial capex slowdown triggers multiple compression.
Industrial and automotive customers cut orders rapidly in downturns. TXN's FY25 miss demonstrates this volatility persists.
Customers demand price declines annually. Margins stay flat through cost reduction and process shrinks, not pricing leverage.
TXN is orthogonal to the Sequoia services-as-software thesis. It benefits indirectly from industrial automation and automotive electrification, but these are capex-dependent, commodity-priced, and unrelated to outcome pricing or autopilot deployment. It is a stable, boring, mature analog-chip company. Own it for the industrial/automotive cycle and the FCF yield; do not weight it on any AI or services thesis.
Solid analog chip incumbent with structural demand tailwinds; limited direct outcome-services thesis capture.