At the summit, Huang argued that with the rapid progress in AI, the necessity for individuals entering the tech sector to learn coding has diminished. Coding, a skill long emphasized by industry leaders, is now deemed by Huang as outdated.
Huang highlighted the advancements in generative AI, particularly in natural language processing, as pivotal in shaping the future of coding. He believes that these developments will eliminate the need for aspiring professionals to dedicate extensive time to learning specific coding languages.
According to Huang, the focus should now shift towards acquiring expertise in other industries such as farming, biology, manufacturing, and education. However, he emphasized that certain coding skills will still be essential in understanding how and when to utilize AI programming effectively.
In Huang’s vision, upskilling is paramount, as it equips individuals with the knowledge required to leverage AI programming efficiently. Furthermore, he anticipates that natural language processing will evolve to the extent that coding can be conducted in one’s native language, simplifying the process for a broader audience.