The future of software testing is expected to include auto-generated tests that allow code to reach the testing stage faster while improving coverage. This approach aims to eliminate the need for manual test writing, generate tests in a uniform way across the codebase, and reduce costs associated with development time of automated tests. Test generation solutions already exist, including open-source tools such as Simulato and Curiosity, which leverage artificial intelligence (AI) and machine learning (ML) to auto-generate tests from models or template files. These tools can generate tests for specific scenarios, reduce test maintenance, and improve testing thoroughness and efficiency. As AI and ML continue to play a larger role in software testing, it is expected that test generation will become increasingly important, allowing developers and testers to focus on more important tasks while improving the quality of life for those responsible for authoring automated tests manually.