AI Drives Semiconductor Boom The AI chip market is heating up as companies race to build better artificial intelligence systems. Micron Technology (U.S.) has become a standout, with experts predicting its earnings will skyrocket by 437% this year. Their special high-bandwidth memory chips are crucial for AI processors, and competitors like Marvell Technology and Broadcom are now adding similar technology to their AI chips. Despite recent stock gains, Micron remains relatively affordable at just 23 times earnings, making it attractive to investors.

Gold Market Gets AI Crystal Ball Artificial intelligence is now helping predict gold prices. ChatGPT analyzed market trends and suggested gold could trade between $3,210-$3,440 by month's end. While prices dipped 1.28% after improved U.S.-China relations, the AI notes that factors like geopolitical risks and central bank buying could push prices back up. Gold has already gained 26% in 2025, showing its role as a safety net during turbulent times.

AI Stock Picks for Global Investors Financial experts highlight three AI-focused companies as top investments. Yiren Digital (China) uses AI for financial services, Innodata (U.S.) develops AI training data systems, and Quantum Computing (U.S.) builds computers that could revolutionize AI capabilities. These companies represent different aspects of the AI revolution, from everyday applications to cutting-edge hardware.

Chipmakers Expand AI Capabilities Beyond Micron, other semiconductor companies are adapting to AI demands. Marvell Technology recently created chip designs that support advanced memory technology needed for AI workloads. This innovation helps tech giants build more powerful AI systems while controlling costs. As more companies adopt these chips, the entire AI hardware sector is expected to grow significantly.

Gold's Rollercoaster Ride The gold market saw dramatic moves last week, first rising on trade war fears then falling after diplomatic breakthroughs. AI models like ChatGPT help traders navigate this volatility by analyzing multiple factors simultaneously, including job market data, interest rates, and global tensions. This AI-powered analysis is becoming essential for modern commodities trading.