Aside from what other commenters already said, inference is fiddly and easy to screw up when you have to do it yourself. Errors in statistical analysis are not

Aside from what other commenters already said, inference is fiddly and easy to screw up when you have to do it yourself. Errors in statistical analysis are not uncommon, even in peer-reviewed papers. Automating it is good for two reasons: first, it reduces the error rate in the kinds of analyses already being done; second, it opens up the option of doing much more complicated analyses, either with a larger number of hypotheses or with hypotheses of greater complexity, which would otherwise be ignored as infeasible. Both of those result in the potential for greater confidence in the accuracy of conclusions reached from experimental analysis.