This is why everyone and their grandmother is all in on AI. It's adoption lags for the sole reason of "people haven't caught up with what it can do, and learned how to let it do it".
Whatever investment is currently in AI is dwarfed by what value it can already technically do, as long as people actually integrate it. It's the "get people to integrate it" part that is the choke point.
Meanwhile AI and robotics advancing rapidly is constantly increasing the amount of work it can perform adequately (about as well or better than typical human worker in that job).
As has been said before, primary problem with AI is no longer model quality, or robotics quality. It's human adaptation to "these tasks can be done by AI as well or better than a human, so we should develop workflow where these tasks are handed off to AI so humans can focus on other things that AI can't do".
Meanwhile models and robotics continue to rapidly advance, so this remains a moving target, making it even harder to hit at any given point in time.
Notably, by far the biggest all in on AI right now is in PRC, where entire factories are going to AI, most of research work is already AI assisted (hence the demand for 4090s and 5090s that have enough VRAM for narrow models commonly used in research), and things like robotics are among top if not the top of the world. Everyone else is behind.