What approaches are there to apply AI to global economic processes? Today, AI is mainly driven by own-profit-oriented companies (e.g. Facebook, Amazon, Google). Admittedly, there's a lot of AI in the health sector (even in the public health sector) and there's a lot of AI in the sustainability sector &ndash; but also mostly driven by obviously own-profit-oriented companies (e.g. Tesla, Uber, Google).

On the other side, one often hears from hard-core economists that centrally planned (= public-profit-oriented) economies (or economic principles) are "the work of the devil" - and that they failed all over history (sometimes for understandable reasons).

But intelligently planning global economic processes and applying these plans with the help of state-of-the-art AI - given the huge amounts of really big data available, and given the argument that globalization is finally for the benefit of all - would seem to be a rewarding endeavour, at least for parts of the AI community.

Why isn't this endeavour undertaken more decidedly? (Or is it?)

Where do I find approaches to apply AI to global economic processes? (Not only describing and understanding but mainly planning and executing?)
It's currently just too complex
The different sources of information are too varied, in economics this is often referred to as a local knowledge problem, which hampers many large scale plans. Humans can react to slight differences like respecting local traditions, landscapes, history but an artificial intelligence would (currently at least) struggle not to generalise over such a large scale as a whole country's economy.
The real work in this case (and actually most 'AI' tasks) would be collecting all the necessary data. Here that part job is currently insurmountable.
Currently a human lead planned economy would do a better job.