[Answer] How Should We View the Growth Potential of Artificial Intelligence Over the Next Decade?

[Answer] How Should We View the Growth Potential of Artificial Intelligence Over the Next Decade?

Andrew Ng, one of the most prominent figures in the AI industry, once said that artificial intelligence is to the world what electricity was more than a century ago. Over 100 years ago, the arrival of electricity set the world on a fast track toward modern development. Today, however, power technology has largely matured and offers little room for major breakthroughs. The internet, which rose rapidly afterward, is also beginning to lose momentum and is approaching saturation. More seriously, progress in the fundamental sciences has slowed, leaving us without a way to drive the world forward at the most basic level.

In this context, the advancement of artificial intelligence—especially deep learning—may be the only key capable of leading the next technological revolution. The reason is that today’s AI, dominated by deep learning, has broken away from the traditional model of heavy manual intervention. Instead, it trains models autonomously through massive amounts of data. This kind of training is almost unimaginable to humans, yet it is already achieving tremendous success.

At present, AI’s impact on the world is still largely limited to certain specific fields, such as autonomous driving and facial recognition. But given enough time, it will inevitably expand into many more areas and bring about changes beyond our imagination. Just think: if people living more than a century ago had tried to imagine the future, they probably could not have fully foreseen the earthshaking transformations of the next 100 years.