Artificial Earth Economics General Intelligence AEEGI

Artificial Earth Economics General Intelligence (AEEGI) is a natural progression of Artificial General Intelligence (AGI) that caters to the Economics of the Earth caring. It is crucial to optimize the entire spectrum of generating, transporting, storing, and consuming earth resources for the betterment of humanity, the environment, industry, and the scientific community. Most research efforts focus on a specific sector, leading to a disconnect between multiple disciplines and hindering effective problem-solving while ignoring the economic impact on the whole ecosystem, including people. AEEGI proposes creating a new coin specific to earth economics and integrating the positive initiative and outcomes from each sector to create an optimal solution that simultaneously addresses multiple objectives that generate the required coins (cash) to achieve them; we call this coin the Hubnomics Earth Wise Coin (EarthYzcoin). The generation of EarthYzcoin and integration across all industry sectors and its value chain are more complex than solving each industry sector or specific value chain challenges separately, but achieving a sustainable and efficient industry-environment-economic system is necessary. Because the industry, as per the current economic system, would have to invest more to become more environmentally friendly. Therefore, with EarthYzcoin, the required investment would be generated by EarthYzcoin and given to industries and universities to research and develop cleaner processes and technologies. At the same time, as per the definition of Yzcoin, the fund that Yzcoin generates is not taken from anyone; instead, it is purely generated as an equivalent value to what the environmental project deliverables outcome. However, EarthYzcoin is an upfront generation of value provided to institutions that would work on researching and developing cleaner solutions to industries and life. The role of AEEGI is to ensure continuous learning from every new outcome to keep optimizing.