- Artificial intelligence (AI) and machine learning (ML) are being embraced by many individuals, businesses, and governments for their increased efficiency and productivity, enabling exponential growth in certain sectors of the global economy.
- The efficiency and productivity gap between sectors and businesses that benefit from AI and ML and those that do not is also growing exponentially, risking that those at the bottom will fall further and further behind, with less and less chance of catching up to the leaders.
The list of the richest people in the world with the top three positions so far belongs to Amazon CEO Jeff Bezos, Tesla's boss Elon Musk and Microsoft Office co-founder Bill Gates. These are all billionaires with artificial intelligence, leading technology applied in the world, applying technology to serve the ambitions to conquer the universe, master the global economy as well as take the lead. style in many fields.
Most countries are only just starting to think seriously about their own AI future, with the majority of the world's major economies just announcing their own AI initiatives in 2017. and 2018.
Other nations must think about a future where technological, economic, and military supremacy becomes the realm of some of the deepest pockets, the best AI-driven talent, and one A large amount of the state budget resources can be directed towards achieving the ultimate status in AI ownership.
The implications of having a handful of countries control advanced AI in the future have a profound effect. On the one hand, these countries with advanced technology can become AI defenders, ensuring to provide significant resources for the development of artificial intelligence on a long-term basis. It is also certain that the top firms in these countries will gain and maintain leadership positions, even more attention in the global economy, giving them a significant competitive advantage. Their armies will almost certainly become the main beneficiaries of AI technologies in the future, fueling a global race for superior autonomous weapons and driving the world forward. dangerous new means of war.
The familiar economic model of a single dominant economic pole, a primary technology and a leading governance system is slowly being replaced by multipolarity. Companies increasingly have to deal with a lot of governance models, technologies, and rules. The data highway is becoming the new transit line. Cloud storage is gradually replacing the transportation of "containers and warehouses". Decentralization and digitalization have also replaced the conventional means of communication and transactions.
How will we move from a degree of collective familiarity and comfort to tangible physical goods to a world dominated by what is not necessarily seen or felt?
New types of global economy have been creating major disruptions in economies around the world. Online platforms are becoming more important than physical products.
The rise of virtual currencies, stores of money formed by cryptocurrencies without any buildings or safes to hold them. All are controlled by software, based on knowledge and automated processes.
Globally optimized value chains - a familiar feature of today's globalization phase - will give way to value chains that combine digital technologies with older, lower cost ones, for integration between products and services, and foster the development of independent global platforms for the exchange of goods and services.
In the ML era, the biggest short term challenge we face is how to transform from the current economic model - driven by conventional means of production and fossil fuels such as coal, oil - to a new paradigm driven by technological achievements, artificial intelligence.
Progressively improving machinery and equipment is one of the factors that directly participate in the production process, so the modernization of machinery or technology innovation is of paramount importance to each enterprise. An industrial manufacturing enterprise that wants to survive and develop needs to build a plan for technological innovation and application of artificial intelligence. Scientific and technological progress, technological innovation will allow improvement of product quality to create many new products, diversify products, increase output, increase labor productivity, and rationally use raw materials. materials ... This will increase competitiveness, expand markets, promote rapid growth and improve production and business efficiency. Scientific and technological progress, technological innovation is really the right direction of a potential industrial enterprise.
How will we move from being familiar and comfortable with tangible physical goods to a world dominated by what is not necessarily seen or felt? We are transitioning into a cyber world, where virtual reality is not only coming to us, but many of us are sought after. The world of AI is waiting for us to do many of the same things. There are many problems that make businesses worry, however, if businesses do not change and apply AI technology in business now, when? Move so you don't fall behind.
In short, in a constantly changing economy, identifying factors affecting economic growth is very important. Whether the business develops well or not depends on factors such as investment capital, human resources, science and technology level, in which science and technology play a very important role in increasing implementation. economic growth is stable and sustainable.
