Most of the time these things are more about costs. Its well known that projects consist of a triangle:
Costs, Speed, Quality
Costs for big companies is often something that isnt going to be a big factor if they realy desire an outcome. While its normaly where they do take a lot of cuts, its also the place that gets increased when speed is desired.
Speed is on that also not that much of an issue, since months is actualy quite a lot of time when trying to create something as trivial as just a linear motion script.
So in the end, its realy down to quality, and how far you want to stretch it. Its very easy to make a 90% quality script, and as a lot of information exists, those companies can decide to target towards 94%. This 4% might not sound like a lot, but that is because quality isnt a linear thing to measure when relating it to csots.
For its cost relation its usualy about the missing percentage, so 95% is actualy 100% better than 90% as the quality is doubled (you cant exceed 100%, but 100% itself is unreachable). And this translates linear into a cost rate to quality rate. Effort gets converted quite linearly. So spending double for double the quality, only adds this 5% onto the 90%. Making it feel like its only 5% of an improvement.
But spend a lot of money, and you can get that quality up. And note, computing power is on that a cost! A script can generate in a minute, or a day, and those scrips can have severely diffirent quality. Which with a good algorythm might become even better. Sure, its a repeating costs unlike a single development state. But that is because in AI the algorythms are often adjuted towards the target device that has to use them. AI is useless if the responses are too late. And if too fast, that gives margin for improvement by using more computing power.
But this also requires skill. Skill is a cost (people cost money). And people arent always available to buy, and can restrict those companies. It might on that cause a restriction on the desired quality, in such way they actualy cant beat a dedicated company.