ChatGPT:美国怎么样实现共产主义

发布时间:2024年01月03日

美国怎么样实现共产主义

实现共产主义,无非是理论上的平均主义,但政策上,是无法做到分配平均,那可以用物资无限量来达到平均,即你想要啥都可以分配,和人人平均享有,没有区别.那按目前美国的GDP来算,要怎么样的投入,才能实现共产主义.

  1. 美国GDP: 假设美国的GDP为21万亿美元。
  2. 美国人口:美国人口约为330百万。
  3. 平均每人GDP: 计算平均每人GDP:

平均每人GDP=美国GDP/美国人口=21万亿/330百万≈63,636美元/人

  1. 机器数量: 则机器数量估算为:

机器数量=美国GDP/平均每人GDP=21万亿/63,636≈3300万台机器机器

如果一台机器能替代5个人工作,那

机器数量=3,300/5万台?=660万台机器

就是说,让目前的美国人都解放出来,不用从事大部分的工作,那就得有660万台机器,如果一台机器的平均售价(包括均摊研发成本)

为10万美金,那总成本=10万美元/台×660万台=6,600亿美元,

那投入6000多亿,就可以解放大部分美国人,只从事脑力劳动,其余大部分用机器替代.

具体来来看:

  1. 服务业: 服务业通常是美国就业的最大部分,其中包括零售、医疗、教育、餐饮、酒店业等。估计数百万人在这些领域工作。
  2. 制造业: 制造业曾经是美国经济的支柱之一,尽管在过去几十年里失业人数有所减少。然而,数百万人仍然在制造业领域工作。
  3. 信息技术和科技: 包括软件开发、计算机科学、互联网服务等。这个行业的从业人口也在不断增长。
  4. 金融和保险: 包括银行、证券、保险等。数百万人在金融服务领域工作。
  5. 农业: 农业从业人口相对较少,但在农业领域仍然有数百万人就业。
  6. 建筑和房地产: 包括建筑、房地产开发和管理。数百万人在这个领域工作

社会只需良好的循环,包括机器运行需要的电力,石油,煤炭等能源

人类基本生活的食物,由机器来提供,人只需研发和维护保养机器.

大部分人,可能做更有意义的工作.

How can the United States achieve communism with just over $600 billion?

Achieving communism essentially involves theoretical egalitarianism, but in terms of policy, it is impossible to achieve equal distribution. One approach is to use an unlimited supply of goods to achieve equality, meaning anything you want can be allocated, and everyone enjoys an equal share without distinctions. Considering the current GDP of the United States, what kind of investment would be needed to achieve communism?

  1. U.S. GDP: Let's assume the GDP of the United States is $21 trillion.
  2. U.S. Population: The U.S. population is approximately 330 million.
  3. Average GDP per person: Calculate the average GDP per person:
    • Average GDP per person = U.S. GDP / U.S. Population
    • Average GDP per person = $21 trillion / 330 million ≈ $63,636 per person
  1. Number of machines: The estimated number of machines is calculated as:
    • Number of machines = U.S. GDP / Average GDP per person
    • Number of machines = $21 trillion / $63,636 ≈ 330 million machines

If one machine can replace the work of 5 people, then:

    • Number of machines = 330 million / 5 = 66 million machines

In other words, to liberate the current U.S. workforce from most jobs, you would need around 66 million machines. If the average cost of one machine (including R&D costs) is $100,000, then the total cost would be:

    • Total cost = $100,000 per machine × 66 million machines = $6.6 trillion

In this scenario, an investment of over $6 trillion could potentially free up most of the U.S. workforce to engage in intellectual labor, with machines replacing a significant portion of jobs.

Specifically:

  1. Service Industry: The service industry is typically the largest employment sector in the U.S., including retail, healthcare, education, restaurants, and hotels. Millions of people are estimated to work in these fields.
  2. Manufacturing: While the manufacturing sector has seen a reduction in employment over the years, millions of people still work in this field.
  3. Information Technology and Technology: This includes software development, computer science, and internet services. Employment in this industry continues to grow.
  4. Finance and Insurance: This sector includes banking, securities, insurance, and employs millions of people.
  5. Agriculture: While the agricultural workforce is relatively smaller, there are still millions of people employed in agriculture.
  6. Construction and Real Estate: This sector includes construction, real estate development, and management, with millions of people working in these fields.

A society would only need a well-functioning cycle, including the energy required for machine operation (electricity, oil, coal, etc.), and machines would provide essential goods for human basic needs. Humans would focus on developing and maintaining machines, allowing most people to engage in more meaningful work.

文章来源:https://blog.csdn.net/zouwen198317/article/details/135357769
本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。