Costs incurred in AI software development stem from data procurement, infrastructure, skilled human resources, and maintenance, which can all vary greatly. The costs are likely to increase based on the type of industry serving the purpose. Streaming services, for instance, require a lot more to set up than a simple automation tool. Please note that the industry complexity will directly correlate with the expenses. Major investments will be obtained from autonomous systems or generative models.
Employees skilled in machine learning models require specialized hardware and cloud computing services. Further control expenses can be achieved through the employment of AI engineers and data science software developers. These roles consume far more than they create. Highly sought after positions pledging high salaries add to the existing issue. Remaining components are drawable from maintenance, accuracy, efficiency, and model retraining, which is a whole chapter by itself.