GPUs Are So 2025 -- This Is 2026's Hottest Trend for the $15.7 Trillion Artificial Intelligence Revolution

Core Insights - The article discusses the rapid growth of the AI semiconductor market, highlighting the potential of high-bandwidth memory (HBM) as a key component for AI infrastructure [1][10] Group 1: AI Market Growth - Artificial intelligence is projected to contribute $15.7 trillion to the global economy by the end of the decade, with productivity gains accounting for $6.6 trillion and consumer-related applications for $9.1 trillion [2] - Nvidia has dominated the AI chip market, holding over 90% market share in GPUs, which are essential for training large language models [3][5] Group 2: Competitive Landscape - The emergence of application-specific integrated circuits (ASICs) is expected to challenge Nvidia's GPU dominance by 2026, as companies like Alphabet and Meta are ordering custom AI processors from Broadcom and Marvell Technology [6][7] - Broadcom anticipates its AI revenue to double to $8.2 billion in the current quarter, supported by significant contracts from major tech firms [7] Group 3: Memory Demand - The demand for high-bandwidth memory (HBM) is surging, with Micron Technology estimating HBM market revenue to grow from $35 billion in 2025 to $100 billion in 2028 [11] - Micron's revenue increased by 57% year over year in Q1 fiscal 2026, reaching $13.6 billion, driven by high demand for HBM [13] Group 4: Future Outlook - Analysts forecast a 288% increase in Micron's earnings this year to $32.14 per share, indicating strong growth potential in the HBM segment [14] - Micron's current trading valuation is below 10 times forward earnings, suggesting it may be an attractive investment opportunity as the demand for HBM continues to rise [15]