Data structures can be used to make money in a variety of ways, depending on the specific application. Here are a few examples:

1. Algorithmic trading: In the financial industry, data structures such as queues, stacks, and trees can be used to build algorithms that can predict market trends and execute trades automatically. By using these data structures, traders can make more informed decisions and potentially earn more money.

2. Machine learning: Data structures such as arrays, matrices, and graphs can be used in machine learning algorithms to identify patterns and make predictions based on large datasets. Companies that use machine learning to improve their products or services can gain a competitive advantage and increase revenue.

3. Data analysis: Data structures such as hash tables, linked lists, and trees can be used to store and manipulate large amounts of data. By analyzing this data, companies can identify trends and make data-driven decisions that can increase revenue or reduce costs.

4. Optimization algorithms: Data structures such as priority queues, heaps, and graphs can be used in optimization algorithms that help businesses make better decisions about resource allocation, scheduling, and logistics. By optimizing these processes, companies can increase efficiency and profitability.

These are just a few examples of how data structures can be used to earn money. The key is to identify the specific application and use the appropriate data structures to solve the problem at hand.