Applied Materials Sees AI Chip Equipment Demand Stretching to 2030 as Advanced Packaging Growth Tops 70%
Applied Materials reported $9.12 billion in quarterly revenue and is expanding manufacturing capacity as AI-driven semiconductor demand creates multi-year visibility into advanced packaging and chip-equipment requirements.
Why it matters: Multi-year semiconductor-equipment visibility shows that AI infrastructure spending is propagating deep into manufacturing capacity, advanced packaging and the chip-tool supply chain.
Applied Materials says semiconductor customers are discussing manufacturing requirements extending toward 2030, another indication that the AI infrastructure cycle is becoming a long-term expansion of chip-production capacity rather than a short-lived demand spike. The company reported quarterly revenue of $9.12 billion, up from a year earlier, while profit also increased. Applied Materials is preparing to expand manufacturing capacity, with management describing plans to double quarterly semiconductor-system output by 2028 and support additional expansion thereafter. Advanced packaging, leading-edge logic and memory are becoming increasingly important as AI accelerators combine processors, memory and other components into tightly integrated systems. The longer-term signal is that AI chip manufacturers are making capital decisions on timelines that now extend toward the end of the decade.