AMD's $15.48B Trading Volume Surges to Fourth Spot as Earnings Volatility and Export Controls Shape AI Growth Path

On August 5, 2025, Advanced Micro Devices (AMD) reported a trading volume of $15.48 billion, a 65.54% surge from the prior day, ranking fourth in market activity. The stock closed with a 1.40% decline, reflecting mixed investor sentiment ahead of its Q2 earnings report. The company highlighted ongoing challenges from U.S. export controls on its AI chips, which impacted $800 million in revenue during the quarter.

AMD’s Q2 financials revealed adjusted earnings per share of $0.48, below estimates, while revenue reached $7.69 billion, slightly exceeding forecasts. The firm attributed the earnings shortfall to export restrictions on the MI308 GPU, which remain under U.S. government review. Despite these hurdles, AMD announced new AI accelerators, including the MI400 and MI350 series, targeting high-performance computing and generative AI markets. CEO Lisa Su emphasized strong demand for EPYC processors and Ryzen desktop CPUs, driving growth in data center and client segments.

Strategic partnerships with AI leaders like Meta and OpenAI underscore AMD’s push to diversify its GPU offerings beyond Nvidia dominance. The company also expanded collaborations with Red Hat, Nokia, and Dell to integrate its EPYC CPUs and Instinct GPUs into enterprise and telecom infrastructure. However, export-related costs reduced gross margins to 43%, down from an estimated 54% without these expenses. Institutional investors remain cautious, balancing optimism over product pipelines against regulatory uncertainties and competitive pressures.

The strategy of purchasing the top 500 stocks by daily trading volume and holding them for one day delivered a 166.71% return from 2022 to the present, outperforming the benchmark return of 29.18% by 137.53%. This underscores the role of liquidity concentration in short-term stock performance, particularly in volatile markets. High-volume stocks like AMD demonstrated significant price movements influenced by institutional and algorithmic trading activity, highlighting the effectiveness of liquidity-focused strategies in capturing market momentum.