Eventually you will most likely want to take all of linear algebra, multivariate calculus, differential equations, and statistics, and something with probability theory (which might be combined with simple statistics). However, these can all be taken in university. You really do not need any of them while you are still in high school.
Personally I have used all of these math classes a LOT, including in subsequent math classes and on the job. I was however a math major in university, so it is perhaps not a big surprise that I would end up with jobs that used math.
In graduate school I took one single class that was not a math class. It was econometrics, and therefore might be something that could be of interest to a business major. It used a lot of linear algebra, and was in fact the class that forced me to really understand linear algebra very well. Again however, there is plenty of time to take both linear algebra and econometrics after you get to university.
For medical school you would need to take some physics, and some calculus might also be useful. I only took regular high school physics and then regular university physics through special relativity and quantum physics. Physics in general uses a lot of of calculus. One daughter was pre-vet, which means that the required undergraduate courses were the same as the required premed classes (she had a lot of friends who were premed). She ended up taking physics without calculus and then later physics with calculus. She felt that physics with calculus was a lot better and easier to understand. Calculus was in fact originally developed to help understand physics better, so this makes sense. For this particular daughter to some extent the required premed/pre-vet math and physics classes were the way to get solid A’s to make up for her grades in organic chemistry, but your results may vary.
Regarding computer science and software engineering, there are a lot of different types of software engineering jobs. Some require math. Some do not. My personal belief is that the software jobs that use math are the more interesting ones, but I might be biased on this subject. If AI and machine learning take away any software jobs, it is probably the jobs that are the most challenging, such as by requiring a lot of math, that might be safer ones to have (and AI and ML themselves use quite a bit of math).
Probability theory and statistics might be useful for any of these three career paths. At least the probably theory classes that I took (and I took a lot of them) drew very heavily on calculus. Multi-variate calculus showed up all over the place. I have heard that there are statistics classes that do not require calculus at all. These might be enough for medical school admissions. While people who are concerned about studying epidemics might have a use for both calculus and statistics, I would be surprised if a normal day to day doctor uses any of these on the job (even if you might need calculus or statistics to get into medical school).
However, you can learn all of this after you get to university.
Perhaps my main issue would be that because these math classes are so useful in so many places, whatever you do take is worth learning very well. Also, make sure that you are solid on the prerequisites before you take any more advanced math classes.