AI Memory Profit Supercycle: HBM Operating Income to Hit $94.5 Billion by 2029 - FourWeekMBA

The rise of AI chatbots like ChatGPT and Claude has triggered a surge in demand for high-bandwidth memory (HBM), sparking a semiconductor profit supercycle. According to Fiscala data, global memory ch... Read original →

The AI compute arms race is elevating HBM to the apex of the semiconductor value chain. Technically, the transition from HBM3E to HBM4 demands co-design with GPUs and advanced packaging, turning CoWoS capacity into a new bottleneck, while sub-3nm nodes drastically increase EUV layer counts and manufacturing complexity. On compliance, U.S. and EU incentives are accelerating domestic memory supply chains—Micron leverages CHIPS Act subsidies, yet SK Hynix faces export control constraints on its China-based expansions. In market dynamics, Samsung’s scale-driven catch-up against SK Hynix is narrowing, but Nvidia cannot bypass the physical oligopoly of the three DRAM giants. Over the next 12–24 months, HBM allocation—not model superiority—will dictate AI firms’ capital expenditure efficacy. This supercycle reflects hardware scarcity imposing hard limits on software’s infinite scalability.