As a supplier to the global semiconductor equipment, data center computing, industrial, medical, telecommunication, and networking industries, we are subject to business fluctuations, the timing, length, and volatility of which can be difficult to predict. We are impacted by sudden changes in customers' manufacturing capacity requirements and spending, which depend in part on technology transitions, capacity utilization, demand for customers' products, inventory levels relative to demand, access to affordable capital, and changes in geopolitical factors, including tariffs. These changes have affected the timing and amount of customers' purchases and investments in technology, and continue to affect our orders, net revenue, operating expenses, and net income. In addition, several of the markets in which we compete are highly cyclical and experience downturns characterized by diminished product demand, production overcapacity, high inventory levels, and price erosion, which has caused, and in the future could cause, our revenue and gross margin to decline, adversely impacting our results of operations. It is difficult to predict the timing, length, and severity of such fluctuations and downturns, and we may not be able to respond adequately or quickly to the changes in demand.
To meet rapidly changing demand in each of the industries we serve, we must effectively manage our resources and production capacity. During periods of decreasing demand for our products, we must be able to appropriately align our cost structure with prevailing market conditions, effectively manage our supply chain, and motivate and retain key employees. During periods of increasing demand, we must have enough manufacturing capacity and inventory to fulfill customer orders, effectively manage our supply chain, and attract, retain, and motivate enough qualified individuals. If we are not able to timely and appropriately adapt to changes in our business environment or to accurately assess where we are positioned within a business cycle, our business, financial condition, or results of operations may be materially and adversely affected.
For example, infrastructure investments in artificial intelligence ("AI") have increased substantially, which is driving significant demand increases in the Data Center Computing market. We accelerated investments to increase capacity and make upgrades to support higher demand and new product requirements in the market, but if we are unable to timely or efficiently scale to meet growing demand or if we have not accurately assessed the magnitude or sustainability of such demand, our results of operations could be adversely impacted.