The challenges in all of these functions are highly complex and vary substantially from target to target. Because of this, the experimentation required is different every time, and can’t simply be made high-throughput to deal with the increase of target number and diversity.
What we can do about it
Relieving this new bottleneck requires helping these functions to solve their highly varied scientific challenges in short, predictable timelines. This is challenging: there are many variables to test and optimize, and the biological systems involved are highly complex. So we have to do the most effective experiments we can, to generate the most informative data, as rapidly and efficiently as possible.