I do think there's an interesting conversation to have here though about workforce management, as someone who lives in adjacent worlds.
If you are long term greedy, like China, a great strategy to capture dominance of a discipline would be along the lines of how to boil a frog. Start by sending grad students to the top universities, ensuring they work for the PIs for cheap, bring as many of them back to China as you can, but tolerate a leaky return path so as not to stir up notice. Advertize their high post-training employment rate back to the universities to keep their valves open even as you start developing your universities internally, and eventually throttle down the outbound grad student pipeline. At some point after it's too late, the top universities, and their countries, look around, bemoan the lack of people in their discipline, and then just give up because by now they're old and tired.
Seems like something that has happened in chemistry, physics, and EE for sure. Once you start thinking this way, all sorts of things start making sense. Like maybe they looked at solar as a cheap, low threat point of entry for developing silicon fabrication capabilities. Software engineering, being a relatively soft skill, comes along for the ride.
Not sure about other fields, but if AI can take on a rapidly increasing set of fields, you start seeing this as how China primarily harvests not IP but workforce training from the global West, then technologies happen to fall out, then one day China has solved for their own graying work force at the same time they've solved for global economic dominance.
And a non-trivial contributor was the US governments (I blame the states too) defunding education.