Stochastic calculus is increasingly recognized as a fundamental skill in various quantitative careers, particularly in finance and artificial intelligence. Many believe that mastering this field can open the door to lucrative opportunities as a derivatives quant. However, some commenters suggest that, while it may be theoretically important, its practical application could be limited in everyday job scenarios. There is a parallel drawn between the necessity of stochastic calculus for roles in finance and the skills needed for web development, like tree rebalancing—skills that are sometimes required for academic credibility rather than daily practical use. Moreover, the importance of stochastic calculus seems to extend into the realm of AI research as well, indicating its growing relevance in cutting-edge technology and fields that demand a rigorous analytical approach.