LRCX · LAM RESEARCH CORP

For example, the growth of AI technologies and related infrastructure has been and is expected to continue to be a significant driver of capital equipment expenditures of semiconductor manufacturers across both the memory and non-memory market segments we serve. However, customer decisions regarding the amount and timing of capital expenditures and the demand for our products and services could change rapidly and be impacted by factors outside of our control. These factors may include, without limitation: changes in actual or anticipated AI-driven demand for AI-related infrastructure or compute power to support AI models, tools, and other applications, including due to slower-than-anticipated adoption of AI technologies, increases in compute efficiency, or oversupply of AI-related infrastructure compute power; advances in fabrication processes, technology inflections or changes in technology architectures; new and emerging technologies or market drivers; actual or anticipated production capacity, utilization, and volumes of semiconductor manufacturers relative to demand for semiconductor devices; changes in end-user demand or behavior; the timing of or constraints on increases to AI-related infrastructure or semiconductor manufacturing capacity; the availability and cost of capital, including increases in interest rates or tightening in global capital markets; the availability and amount of government subsidies and incentives; the regulation of AI or related infrastructure technologies by government or other regulatory agencies; and geopolitical or macroeconomic instability, including wars, terrorism, political unrest, public health emergencies, inflation, recessionary conditions, trade restrictions, export controls, boycotts, and other business disruptions.