Amid rapid technological evolution, Bill Gates highlighted three areas that, in his view, will continue to grow and be in high demand even with the advancement of AI.
According to the businessman, these professions will not only resist the impact of AI, but chinese overseas british database will also play a crucial role in the development of a sustainable and inclusive future.
The first area that Gates believes is very promising is alternative energy. The world is facing serious problems with pollution and climate change, and it is necessary to find new sources of energy. This search for cleaner and more renewable energy, such as solar and wind power, cannot be done by machines alone. People who work in this area need a lot of creativity to develop solutions that work well in everyday life.
Bill Gates is a big supporter of nuclear energy as a clean and reliable source of energy. He is the co-founder of TerraPower, a company that develops nuclear technology. The company is building a nuclear power plant, scheduled to open in 2030, that promises to be one of the most advanced in the world. Gates believes that while energy sources like solar and wind are great, it is essential to have a source of energy that works all the time, even when the sun is not shining or the wind is not blowing. Nuclear power can provide that stability.
AI can help make these energy sources more efficient, but developing and planning new forms of energy generation requires human labor. Risks need to be assessed, costs need to be reduced, and energy needs to be integrated into people’s and businesses’ daily lives. That’s why, even with the help of AI, the alternative energy sector still needs specialized professionals.
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2. Health biosciences
Another area that Bill Gates considers essential and immune to AI is health sciences. Health is a sector where human work is crucial. Professionals working in life sciences are involved in research and development of new medicines, vaccines and treatments for diseases. According to Gates, AI can help a lot, as it can analyze large amounts of data quickly, which speeds up the discovery of new cures and treatments. However, human knowledge is still essential to understand the impact of these treatments on real people.