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This research project explored the hypothesis that the high volatility inherent in AI technology stocks, quantifiable through metrics like Beta (β), makes them particularly suitable for short-term investment strategies. The group discussed how factors like rapid innovation and competition contribute to this volatility and how Beta can be used within financial models (like CAPM) and hedging techniques to manage the associated risks. They concluded that while riskier, the amplified market reactions (higher beta) of AI stocks present opportunities for agile investors seeking potentially higher short-term returns.