The biggest difference between the upper and middle classes is that the upper class has a certain amount of assets that can be passed down.
Those who become middle-class test-takers through their own efforts are unlikely to pass on their test-taking skills to the next generation.
Even if both parents are graduates of Tsinghua or Peking University, it still cannot guarantee that their children will be able to attend an ordinary 985 university.
Besides assets, there are also relationships.
Why do the middle class like big cities? Because the ceiling in big cities is high enough that they can reach it without having to rely on building a network of relationships.
In smaller cities, the ceiling is fixed. Without a well-established family network, the ceiling is very clear: one might only have a few million in wealth.
Many people choose big cities not only because they can't handle the complex social networks of smaller cities, but also because their families lack the necessary connections to help them get started.
Sometimes, getting things done isn't about finding the most capable person; it's about finding the key person. They might not hold a high position, but in this matter, finding that person is a hundred times more effective than finding someone in a higher position.
Returning to the science city, these problems naturally do not exist in a society where everything is operated by artificial intelligence.
After all, if you want to build relationships with artificial intelligence, what will you rely on? Can you possibly help AI optimize its processing algorithms from the ground up?
In 2039, it won't just be Singapore that adopts artificial intelligence to manage the entire society.
The three Nordic countries also took the lead in reforms, and these countries have all introduced Singapore's artificial intelligence system.
Germany, France, and England are still observing.
The main sources of income for Singapore are as follows: First, Singapore itself has many state-owned enterprises and a lot of financial assets, and the income generated from the operation of these assets.
Taking Temasek as an example, what Zheng Li gave to the Li family was the cash he obtained by selling shares of Kechuang Biotech, which was equivalent to the market value of Temasek.
Tamsui Holdings remains a financial asset in Singapore.
With artificial intelligence used for risk control, it is far superior to humans in both data collection and overall data analysis.
Risk control, simply put, is about assessing your ability and willingness to repay the loans you have.
Analyze these two abilities by looking for clues in the information.
What you might imagine as a business war is about strategizing and winning from afar, but in reality, it might involve stealing company seals, changing the locks on briefcases, or the chairman spying on other companies' operations.
It's just that simple and unpretentious.
The concept of fintech, or financial technology, which was proposed in 2016, has big data risk control at its core.
What big data risk control method is more powerful than artificial intelligence in doing this?
Therefore, under the joint management of artificial intelligence and humans, Singapore's financial assets are of unprecedented quality, and the non-performing loan ratio of proprietary assets has been reduced to less than one percent.
To put it simply, the concept of non-performing loan ratio is something that Chinese financial institutions talk about every year: the need to clear out non-performing loans.
Even the banks with the lowest non-performing loan ratios generally have a ratio of around 1.7%.
Tan Mas is a diversified holding group, and its non-performing loan ratio of less than 1% is unprecedentedly low.
In addition to financial assets, Singapore's state-owned enterprises also have businesses in media, aviation, hydropower infrastructure, and more.
The second source of income is tax revenue. After Zheng Li took over Singapore, the level of government services improved significantly.
Singapore's position as a financial center in Asia has been further solidified, but the low tax rate in the financial sector does not mean there is no tax.
The third part is the revenue generated by these technologies after Zheng Li authorized them to Lion City.
The main ones are bio-photovoltaics and artificial intelligence government systems.
Bio-photovoltaics, needless to say, holds an absolute monopoly in the market.
At the same time, bio-photovoltaics completely outclasses traditional photovoltaics.
Currently, only China is still relying on government subsidies to barely maintain its traditional photovoltaic industry chain.
Of course, traditional photovoltaics still have a place in this era, and it can serve as a supplement to bio-photovoltaics in the field of photovoltaic buildings.
But that's all.
As for AI in government affairs, other countries have reservations about it.
Even though the three Nordic countries wanted to import it, they had to conduct repeated on-site inspections in Singapore before finally deciding to purchase it.
The main reason is the high price.
Because government AI is subject to management fees, which are paid according to the personnel budget in your previous annual government budget.
Taking Iceland as an example, the amount Iceland has invested in government human resources costs on average each year over the past five years will determine the amount it will spend on artificial intelligence usage each year over the next five years.
Iceland was the first to introduce artificial intelligence, followed by Denmark and Norway, which then reached agreements with Singapore.
These three are Singapore's main sources of income.
With the reduction of the military and the civil service, the Singapore government is now far more financially powerful than before.
To put it bluntly, if Zheng Li were willing to make the longevity potion available for sale, the revenue from that alone would be at least in the hundreds of billions.
The nations of the entire planet exhibit a severe polarization.
Countries with strong internet capabilities and a certain manufacturing base, namely traditional developed countries and a few developing countries, have benefited from industrial transfer and upgrading.
Take the European Union as an example; it was already struggling with population and energy issues.
Your northern neighbor frequently threatens you with your territorial and energy security.
For over twenty years, we relied on cheap natural gas and oil from our northern neighbor, but that supply was cut off, and that was that.
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