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Our socio -economic system stands for one Existential threat to AI. In our capitalist society, most people depend on jobs to maintain themselves. The US government, in turn, is highly dependent on taxing the income of individual employees for income.
When Artificial intelligence gradually eliminates Chances of chance, a growing number of individuals will be confronted with serious occupational uncertainty, leading to a corresponding decrease in federal income. Radical action is now needed to send away a dystopian collapse to better options.
In particular, income -based taxes must be replaced by a different form of taxation, and the support mechanisms for the unemployed must be adjusted to support a large population that will be pushed out of the labor market. Since the use of AI instead of human employees is the cause of the problem, it is logical that the commercial use of AI systems must be taxed to compensate Americans for lost wages and the federal government for the loss of income-based taxes.
The income collected by the US government is currently based on taxing working people.
The motivation for these worries is that AI possibilities are improving quicklyAnd although most jobs are currently safe, it becomes clear that AI will ultimately perform almost every task more efficiently and cheaper than people can. From production to customer service and even creative fields such as writing or music, machines already show that they can perform people better than perform.
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The wide range of robots that are developing will expand the range of AI to physical jobs, such as construction, health care and home cleaning. Although this transition will not take place at night, it is inevitable. Companies will continue to replace human employees with AI-driven systems because it saves money and increases productivity. The question is not whether AI will take over most jobs, it is when.
A future in which robots do all the work can be great if we are now planning for the social implications of widespread unemployment. The obvious problem is that people without jobs will not have any way to pay for food, housing or something else. The slightly less obvious problem is that the income collected by the US government is currently based on taxing working people.
Payroll, add income, Social Security and Medicare taxes Together are good for more than 80% of the federal income. As unemployment grows, the tax basis will decrease, resulting in a significant fall in government income. Our economy will be confronted with a double Whammy of falling income, while at the same time they grow growing number of people who are really and not the fault of their own needs support.
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Traditionally, the issue of supporting non-employees, for example via well-being or universal basic income (UBI), is offensive to many because it fundamentally relates to taxing the production of employees to support those who do not work. That kind of wealth redistribution evokes alienating comparisons with socialism or communism. Even if we were willing to accept the idea to burden employees and use the money to support others, a large pool of employees requires what we will not have because AI will have adopted their jobs.
Bee Ai who replaces human employeesWe have an alternative method for financing support mechanisms such as UBI. What we have to do is find a reasonable way to burden the work of AI and to spread the proceeds rationally among people.
This proposal is very different from socialism or communism, because we do not take the fruits of one person’s work and give him to someone else. Instead, we would take the proceeds from AI/robot effort and share them with people.
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Since AI systems are trained on large amounts of data from the public, there is even a mandatory economic justification for taxing these AI systems and returning money to the public. Think of it as a license fee that is paid to American citizens for the use of their data.
Naturally, many Americans also object to taxing companies. By Amazon to mother-and-pop groceriesThe care is that taxes would be burdensome and harmful to the company.
However, these companies will see enormous savings of replacing employees who may cost $ 30k to $ 300k per year in salary with robots that can easily cost less than $ 30k and have an annual maintenance and energy costs more than $ 20k per year. The savings for non-physical jobs will be even greater, because for which no physical robot is needed, only an AI that runs in the cloud.
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As an added bonus, these AI employees work 24/7 without needing rest. (Note that the Power Bill would do that not Be priceless expensive. Training a large AI can be expensive, but once trained it can be replicated many times, whereby each copy can be performed on a high -quality personal computer with less than $ 10 electricity per day.)
When one AI-driven robot makes somethingA sandwich or a car, it creates new value: the difference between the raw materials and the end product. Similar value is also made as the robot gold mines or harvest wood mine. If a person did work, that value would be divided in three ways: employer, human employee, government. However, when a robot does the work, there is no human employee in the split.
In essence, I suggest that we find a way to bring people back to that comparison. The way that seems to me the most obvious is that the AI ​​work must be taxed and that the yield is used to support American citizens via UBI, or something similar.
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Admitted, it is unclear how to measure “AI work” in a reasonable way, but even if that was a fatal mistake in this proposal, the motivational problem of AI takes over most jobs Still looms up. Whether it is about taxing AI work or something else, we have to come up with a plan and now start implementing it.
We could have a bright future where people can live their lives comfortably, focused on their own passions instead of working for others. Or, if you want to see the alternative, look at the Hunger Games.
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Disclaimer: Every opinions expressed in this article are only those of the author as a private individual. Nothing in this article may be interpreted as a statement regarding the professional function of the author with an institution.
