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Bill Gates has identified three professional fields that will "survive" the pervasive emergence of artificial intelligence.
In his blog titled "Gates Notes," he emphasizes the importance of human skills, which are difficult to replicate by algorithms, in strategic areas for the future of global work.
Those who will resist automation because of their skills, he points out, are experts in programming, biology and energy efficiency.
The Microsoft co-founder argues that despite the complexity of automation, expert oversight, complex decision-making, and innovation will remain in human hands in these areas.
Gates argues that programming is an essential form of literacy because software development is the language of strategic sectors such as communications, health, and security.
While he acknowledges that AI has made progress in producing code, he warns that “AI can write code, but it still requires skilled human supervision to develop properly.”
The work of programmers, he explains, is not limited to creating digital tools, but includes overseeing, correcting, and guiding algorithms, as well as incorporating ethical values and detecting biases, tasks that autonomous systems cannot yet perform.
In the field of biology, Gates emphasizes its central role in modern scientific innovation, but also in the face of challenges such as pandemics. The rise of biotechnology, gene editing and personalized medicine has opened up new possibilities for preventing and treating diseases.
Biologists' judgment, he argues, is essential in both managing health crises and designing personalized health solutions, because algorithms, no matter how advanced, cannot replicate these capabilities.
Also, regarding the energy sector, he notes that it has gained strategic importance in the transition to clean energy sources and in the fight against climate change. Gates emphasizes the importance of energy experts in the development of technologies such as carbon capture and green hydrogen.
These innovations require professionals capable of understanding and redesigning complex systems, anticipating their environmental impacts. Although artificial intelligence helps optimize energy processes, it cannot replace the creativity and human judgment needed to address sustainability challenges.
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