Under the wave of artificial intelligence and Web3, how to prepare for the next generation of the Internet?

Preparing for Web3, the next generation of the Internet
To tackle the upcoming next generation of Internet Web3, we need to be prepared. In this new digital environment, our data is freely portable and uncontrolled, which challenges the current monopoly situation. Web3 promises to create such an environment, and investors can refer to the evolution of the Internet to better understand this transformation.
The first phase is Web1, which provides users with unprecedented access to information and connectivity (such as Yahoo! and Google). Then came Web2, which further enhanced the user experience (such as Facebook and Twitter) by providing personalized user-generated content through apps.
Blockchain technology, with its “trustless” system, is seen as a solution to the lack of trustworthiness of various traditional institutions. However,The recent failure of Crypto-related companies, including FTX and Silvergate, has raised investors' uncertainty about digital assets and cast a shadow over the future of Web3。
Take a look at the chart below, which is data from a recent Deloitte report. From 2016 to 2022, early investors injected around $94 billion into Web3 companies, most of which was concentrated over the past two years, peaking at $13 billion in the first quarter of 2022. This corresponds to a sharp drop in Bitcoin's price after hitting an all-time high of nearly $69,000.
Attention to artificial intelligence (AI) is also growing, and this is reflected in the American business community. According to FactSet's analysis, a study of the Q1 2023 Earnings Conference Call showed thatThe number of S&P 500 companies discussing artificial intelligence has increased significantly. Over this period, 110 companies mentioned artificial intelligence. Compared with the five-year average of 57 and the ten-year average of 34, this is a clear growing trend.
But in the “real world,” where can generative artificial intelligence be used? McKinsey & Company discovered that there are 63 such AI applications in 16 business functions. If applied, it can generate economic benefits of 2.6 trillion to 4.4 trillion US dollars per year. This would increase the potential value of current $11 trillion to $17.7 trillion in non-generative artificial intelligence and analytics by 15% to 40%.
Understandably, some readers may be confused, but it's worth remembering that technology cycles usually occur every 10-15 years. Web3, artificial intelligence, and digital assets are no exception.
Original text byU.S. Global Investorscompose, Chinese content compiled by the MetaverseHub (MetaverseHub) team,If you need to reprint, please contact us.



