The OP describes a specific case of a general problem.
SAS early on established a dominant market position, particularly once the FDA made SAS the tool of choice for dr-g development. The money flowed in steadily, for forty years.
The deal was: SAS won’t give you equity, or pay top dollar. But the benefits are great, and you’re only required to work 35 hours per week. To many people, this is a great deal, and SAS had no trouble hiring.
Many of the 35-hour people actually worked 40. And there were always a few, say 10-20%, who worked 50 hours or more. To produce high quality work, that was sometimes the only way; and one heroic effort could carry a small project.
But there was no way to reward these people. You could promote them to Principal — but they made the same salary as the 35-hour Principals.
Still, the motivated few were self-motivated, so they did the work. And while the business was stable and dominant, this model worked well.
Then Open Source came, and some of that Open Source was R and Python — free competitors to SAS/STAT. Microsoft, already on everyone’s desktop, began competing from the low end, adding simple statistics and good graphics, enough for most business reports. The transition to the Cloud was underway, so our market was moving, and we had to follow.
Suddenly, from a dominant market position, we had acquired three different sources of fierce competition. At the same time, all the tools changed, and all the libraries changed. It was not stupid to integrate with Open Source; it’s the cost-effective approach. But Open Source was only one of our challenges.
And we tried to meet all these simultaneous challenges with a workforce who had been promised a 35-hour workweek.
That is the general problem: our model worked, but only while our business was stable and dominant. When competition arose, and technology began rapid change, we needed greater effort. But there was no way to reward greater effort, so we didn’t get it.
Long ago, SAS was a startup. 95% of startups fail. SAS lasted fifty years. Objectively, this business model was a brilliant success, though all good things come to an end.