[Perspective: Half of S&P 500 Companies May Completely Lose Investment Value in the Next 5 to 10 Years, Claims of an AI Bubble Are Entirely Baseless] BlockBeats News, July 15 — Jordi Visser, Head of Macro Ties Research at 22V Research AI, issued a warning: The 'instant competition' brought by AI is rapidly dismantling the moats of traditional enterprises at an astonishing pace. Within the next 5 to 10 years, half of the companies in the S&P 500 index may completely lose their investment value, becoming as 'irrelevant' as Ford Motor Company is today. Using the current challenges faced by Salesforce and Adobe as examples, the valuation of enterprises is entirely predicated on how long their moats can be maintained. However, AI creates competition out of thin air and accelerates its evolution, potentially causing the barriers of many publicly listed companies to collapse overnight. At the same time, Jordi strongly refuted the current market claims of an 'AI bubble.' For instance, Samsung is projected to achieve $217 billion in profits this year, surpassing the cumulative profits of the past 40 years. NVIDIA’s valuation is trading at a decade low, with high growth fully offsetting high valuations. The demand for computing power is fundamentally different from the demand for oil: the former grows exponentially, while the latter grows linearly. Currently, the remaining performance obligations of hyperscale cloud providers amount to $2 trillion, with none having idle capacity. Moreover, the 'AI mid-term growth slowdown' that began at the end of May has already ended. Once consumer intelligent agents achieve breakthroughs later this year, enabling users to interact with dynamic workflows freely via voice, their computing power consumption will be 20 to 30 times higher than current levels. Subsequently, fully autonomous driving and humanoid robots will further unleash an endless flood of computing power demand. Jordi further pointed out that traditional macro analysis frameworks have completely failed. 99.9% of macro strategists have not truly used AI, merely employing it to polish emails, and are entirely incapable of understanding AI’s disruptive power — 'If you don’t use it, you cannot comprehend that its IQ has already surpassed 140, making it a polymath capable of breaking down disciplinary barriers.' In terms of portfolio allocation, Jordi recommends that ordinary investors allocate approximately 10% of their funds to leading digital assets and cutting-edge AI-related targets, while younger investors can allocate up to 20%. Specific targets strongly favored include NVIDIA, Marvell Technology, Eli Lilly, as well as data center hardcore infrastructure companies like Caterpillar and Modine Manufacturing. [Original Link]