[Morgan Stanley: Semiconductor Boom Cycle Far from Over, Cloud Capital Expenditure May Reach $1.3 Trillion by 2027] BlockBeats News, August 1 — Morgan Stanley's latest Greater China semiconductor report, released on July 31, states that AI semiconductors are still in a high-growth cycle. Moreover, this wave of growth is expanding beyond pure GPU demand to advanced processes, advanced packaging, memory, testing equipment, ASICs, and the Chinese AI chip supply chain. Morgan Stanley has made a very bold prediction: the cloud AI semiconductor market size could reach $485 billion by 2026 and further expand to approximately $753 billion by 2030. Meanwhile, the global semiconductor market is expected to reach $1.5 trillion by 2030, meaning AI semiconductors will contribute nearly half of the market size. Using its cloud capital expenditure tracking model, Morgan Stanley estimates that the cloud capital expenditure of the world's top 14 publicly listed cloud service providers could reach nearly $1.3 trillion by 2027, and this figure does not yet include sovereign AI projects.