Investors are seeking to bypass the high valuations of current AI stocks by investing in companies that promise future relevance to AI, such as those in quantum computing or "quantum-inspired" deep learning. The author suggests looking for undervalued assets that will soon become important for AI, like asynchronous, sparse cognitive algorithms, or focusing on data generation for future AI models, such as in robotics or industrial data. However, the author notes that significant AI labs are also pursuing these areas, making it difficult to find unique investment opportunities. AI
IMPACT Investors are exploring alternative investment avenues beyond current high-valuation AI stocks, focusing on emerging technologies and data generation for future AI models.
RANK_REASON The item is an opinion piece discussing investment strategies related to AI.
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