Semiconductor
The silicon-based chips that power AI processing, manufactured through advanced fabrication processes by foundries like TSMC — the most critical physical input to the AI economy.
The AI chip market generated $66.2 billion in 2024 and is projected to exceed $120 billion by 2027. TSMC manufactures approximately 90% of the world's most advanced AI chips (including NVIDIA, AMD, and Apple designs) at fabrication nodes of 5nm and below. A single advanced chip fabrication plant costs $20-40 billion to build. US export controls on advanced semiconductors to China have made chips a geopolitical strategic resource. The CHIPS Act allocated $52.7 billion to boost US semiconductor manufacturing. AI chip development cycles have accelerated from 2-3 years to 12-18 months.
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Related Terms
AI Compute
The computational resources — primarily GPU and TPU processing power — required to train and run AI models, typically measured in FLOP (floating-point operations) or GPU-hours.
Capex (Capital Expenditure)
Long-term investment spending by companies on physical assets like data centers, GPU clusters, and networking infrastructure — the backbone of AI deployment at scale.
Data Center
A facility housing computer systems and infrastructure used to process, store, and distribute data — increasingly built specifically for AI training and inference workloads.
EU AI Act
The European Union's comprehensive AI regulation, which entered into force on August 1, 2024, classifying AI systems by risk level and imposing requirements from transparency disclosures to outright bans.
Fine-Tuning
The process of further training a pre-trained AI model on a specific, smaller dataset to specialize it for a particular task or domain, requiring far less compute than training from scratch.
Foundation Model
A large AI model trained on broad data that can be adapted to a wide range of downstream tasks — examples include GPT-4, Claude, Gemini, and Llama.
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