company

Texas Instruments

Semiconductor / Electronic Components
63Fair
Aio Composite Score
Confidence
ApplicationHeavy
high
ImpactMixed
medium
OpennessSelective
medium
Texas Instruments is an aggressive adopter of AI as a product strategy, designing and manufacturing edge AI hardware (MCUs with integrated neural processing units) for automotive and industrial markets, while also deploying AI and machine learning internally within its Smart Manufacturing and Automation operations. The company's $7.5 billion acquisition of Silicon Labs and $60 billion fab investment in Sherman, Texas are explicitly framed around edge AI scale and infrastructure. TI has undergone multiple rounds of layoffs tied to fab consolidation and operational restructuring, but available evidence links these to shuttering obsolete 150mm production lines rather than to AI-driven displacement. Public communications appear consistent with observable business actions, though the company has been sparse in addressing workforce impacts.
Application
How is AI being used?
Heavy
high
TI is deploying AI extensively across two domains: as a core product capability (integrated NPUs in MCUs, edge AI hardware for automotive and…
Impact
How have people been affected?
Mixed
medium
TI's edge AI products are positively received by the market and enable new customer capabilities. However, multiple rounds of workforce reductions…
Openness
Company honesty about AI use.
Selective
medium
TI's public narrative around AI as a product strategy is consistent with its observable investments and product launches. However, the company has…
AI Tools & Platforms Detected
Neural Processing Unit (NPU) integrated in C2000 TMS320F28P55x MCUsEdge AI hardware acceleratorsAI/ML workflow automation (Smart Manufacturing and Automation platform)Humanoid robots (UBTECH Walker S2) in fab cleanroomReal-time AI-driven yield optimization and predictive maintenance systemsDigital twin modeling (supply chain)
AI Hiringmoderate
30AI roles/ 5817 total
Smart Manufacturing and Automation Software Engineering Intern (AI/ML focus)Smart Manufacturing & Automation Data Science InternMachine Learning Research ScientistMixed Signal Processing and AI Research EngineerEmbedded AI Research Engineer
Key Evidence (8)
TI launched the TMS320F28P55x series, the industry's first real-time MCUs with an integrated neural processing unit (NPU), achieving 5-10x lower latency than software implementations and >99% fault detection accuracy.
2024-11-11
web searchSource ↗
TI agreed to acquire Silicon Labs for $7.5 billion, combining Silicon Labs' Series 3 platform (100 AI GOPS) with TI's analog scale and 300mm fabs, explicitly targeting edge AI acceleration.
2026-02-10
web searchSource ↗
TI's SM1 fab in Sherman, Texas deployed humanoid robots (UBTECH Walker S2) and real-time AI-driven yield optimization and predictive maintenance, described as 'building AI with AI.'
2026-01-30
web searchSource ↗
Texas WARN Act filing indicates TI plans to lay off more than 400 employees by end of 2026 as it shuts down obsolete wafer production lines, with no AI causal link stated.
2025-10-22
web searchSource ↗
TI laid off approximately 5% of its workforce in late 2024, with additional cuts at its Lehi, Utah fab after receiving $1.6B in CHIPS Act funding; company attributed cuts to restructuring and legacy fab closures.
2025-03-27
web searchSource ↗
TI's Smart Manufacturing and Automation team is actively recruiting interns and engineers for AI/ML workflow automation, process control, yield optimization, and data science roles across Dallas and Lehi facilities.
2026-01-18
job postingSource ↗
What insider reports could clarify
  • Have any roles in manufacturing or operations been explicitly replaced by AI or automation tools?
  • How are AI-generated outputs reviewed before they affect production decisions at TI fabs?
  • Does TI have an internal responsible AI policy governing employee-facing AI tools?
  • Are workers informed when AI systems flag or influence decisions about their performance?
  • Has TI's internal AI adoption changed workloads or team sizes in non-manufacturing departments?
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