This method is great for creating assets. Photogrammetry is already used a lot.
The rule for a lot if 3D work is: if it looks good, it is good.
But I agree this method won't be suitable for all 3D work.
I would be interested to see a comparison of conventional SOTA photogrammetry pipelines versus NeRF techniques solving a 3D model from the same set of photos, but these papers only ever seem to compare themselves to other NeRF papers, rather than the software that the industry is already using to solve this exact problem.
When you are not creating assets for games or close-up details it can still be very usefull to take a couple of pictures of a tree stump and use it in your environment.
I work in construction, we take photos of the building in situ as a lot of the important elements are encased later (eg. Reinforcement inside concrete)
This level of 3D NeRF is great for that as it's much easier to parse than a folder full of images.