Anthropic’s Claude can already convert significantly complex SAS programming streams into Python and related libraries. Complex systems of nested macros might require human intervention, but these tools are only going to get better.
IOW, the years are getting shorter for expensive proprietary software like SAS. Recently spoke with someone who is a director at GSK and told me they no longer use SAS in any department she is aware of.
Have we reached a point where it is delusional to think that SAS can recover without coming up with some kind of strong AI-based niche play going forward? Given the acceleration of AI tools that can parse and transform complex programming languages, isn’t it more reasonable to think that SAS has maybe 3 to 5 more years of reliable renewable revenue instead of 8 to 10 more years?
OP: @301+1ke5jkdwp