Investors question whether AI boom is riding a chip shortage, not real demand

Memory chip prices have surged roughly fourfold, driven by data-center operators hoovering up every available unit of high-bandwidth DRAM and HBM they can find. Hyperscalers, the Microsofts and Googles of the world, have redirected production capacity toward high-margin AI hardware, starving other industries of the chips they need to build everything from cars to consumer electronics. Micron Technology reported quarterly profits nearly 15 times higher year-over-year, a figure that reflects just how dramatically AI-driven memory demand has reshaped the semiconductor landscape. Overall semiconductor revenue is forecast to exceed $1.3 trillion in 2026. Big Tech companies are expected to pour over $650 billion into AI capital expenditures in 2026, with a significant chunk flowing directly into memory chips. Non-AI industries have responded by ramping up lobbying efforts in Washington, pressing for relief from memory prices that are making their products more expensive to manufacture. The automotive industry finds itself competing for semiconductor allocation against companies building AI data centers with seemingly unlimited budgets. Memory chip shortages are expected to persist throug...