BlockBeats News, July 15th, 22V Research AI Macro Link Research Director Jordi Visser issued a warning: The "instantaneous competition" brought by AI is rapidly eroding the moats of traditional enterprises. In the next 5 to 10 years, half of the companies in the S&P 500 Index may completely lose their investment value and become targets similar to today's Ford Motor Company, deemed "irrelevant." Taking the current predicament faced by Salesforce and Adobe as an example, all of a company's valuation is based on how long the moat can be maintained. However, AI is causing competition to emerge out of thin air and evolve rapidly, potentially causing the barriers of many public companies to collapse overnight.

At the same time, Jordi strongly refuted the current market's "AI bubble theory"—Samsung is expected to achieve a profit of $217 billion this year, surpassing the total profit accumulation of the past 40 years; Nvidia's valuation is trading at a ten-year low point, and its high growth has completely absorbed the high valuation. There is a fundamental difference between computational power demand and oil demand: the former is experiencing exponential growth, while the latter is only growing linearly. Currently, the remaining performance obligations of super-scale cloud vendors amount to $2 trillion, with no idle capacity available. The "mid-term slowdown in AI growth" that began at the end of May has ended. Once consumer intelligent agents experience a breakthrough later this year, allowing users to engage in free-flowing dynamic workflow interaction through voice, their computational power consumption will be 20 to 30 times the current level. Subsequently, fully autonomous driving and humanoid robots will bring about an endless flood of computational power.

Jordi further pointed out that traditional macro analytical frameworks have completely failed. 99.9% of macro strategists have not truly used AI but have only used it to polish emails, fundamentally unable to understand AI's disruptive power—"If you don't use it, you can't understand that its IQ is already above 140, surpassing the disciplinary barriers of scholars."

On the allocation front, Jordi recommended that ordinary investors allocate about 10% of their funds to leading digital assets and AI frontier targets, with young investors going as high as 20%; specific targets have a strong outlook on Nvidia, Microwell Technology, Leli, as well as data center hardcore infrastructure such as Caterpillar and Moding Manufacturing.