People have somehow conflated artificial intelligence with "oracle that knows everything" and so keeping models up to date with recent knowledge has become a must. Of course, that could be done by fine tuning techniques and better architectures that can outsource knowledge retrieval to tools, all very interesting ongoing work on that topic, but even these approaches require to not be "blocked" in their data retrieval tasks for them to work well.

I'm sure you can do lots of interesting research using outdated datasets but for companies creating products this will not be sufficient.