According to various statistics, the number of AI-related major conference participants increased 6 times over 5 years, and the number of AI startups increased 113% while non-AI startups increased 28% over 4 years. Venture investments in the non-AI field increased by 100% for 5 years, while 350% increased, and deep learning-related jobs increased by 34 times over 3 years.
It can be said that it is the heyday of AI and deep learning, but there are a lot of talks about the ROI of AI in recent companies. New investment is getting tricky, and there are many talks about making money in AI organizations. Surprising results are coming out every day only from a researcher's point of view, but from the perspective of invested companies, it can be frustrating as they do not provide value that exceeds the investment.
He outlined the limitations (due to the expected bubble) faced by current AI. Jeong Ji-hoon I share your writing.
Just as Sony made money after the release of the Walkman, and not only Apple made money after the release of the iPhone, when an innovative mega value product is released in one field, not only the company but the entire field will benefit. I am also in charge of the AI Center, so I would like to create mega value products in my organization, but as an AI industry person, I sincerely hope that a mega value product with AI at its core will emerge anywhere in the world. Because that's the only way to end AI marginalism and it's the way to AI renaissance instead of AI fall. Technology without market value can't change the world after all.
