生成式AI无过热迹象！小摩：明年AI资本支出增速至少20%！

Core Viewpoints - Concerns about AI capital expenditure (capex) peaking in 2026 are overstated, with strong growth certainty expected in 2026-2027 [1][2] - Major cloud service providers (CSPs) can sustain capital expenditure through increasing operating cash flow, with no signs of overheating in generative AI [2][4] - New investment players, including private AI labs and sovereign funds, are entering the market, further driving AI investment [2][9] AI Capital Expenditure Growth - Morgan Stanley predicts at least 20% growth in AI capex for 2026, with potential for further increases in 2027 if enterprise-level AI adoption continues [2][8] - The top four CSPs (Google, Amazon, Meta, Microsoft) are expected to see a compound annual growth rate (CAGR) of 23% in EBITDA and operating cash flow from 2022 to 2026 [6][7] - Capital expenditure for these CSPs is projected to rise from $150 billion in 2022 to $398 billion in 2026, with a CAGR of 16% in free cash flow [7][8] Investment Opportunities - The AI supply chain growth ranking for 2026 shows Google TPU leading, followed by NVIDIA, AMD, and AWS [3][11] - Non-AI sectors are experiencing price increases, which could drive the next round of earnings per share (EPS) adjustments in the tech sector [17] - Chinese CSPs are just beginning their AI investments, with significant potential for growth despite supply constraints [10][19] Supply Chain Dynamics - The supply chain for NVIDIA is expected to maintain strong growth in 2026, with no significant delays in production plans [13][14] - ODMs are experiencing a catch-up trend, with companies like Hon Hai (Foxconn) showing strong stock performance [15] - The Asian AI supply chain is benefiting from increased demand for Google TPU and other components, with PCB and CCL suppliers positioned to gain [11][12] Valuation and Earnings Adjustments - The recent stagnation in earnings adjustments for Asian tech stocks is attributed to currency fluctuations and preemptive demand ahead of tariffs [18][19] - Future price increases and sustained AI demand are expected to drive further EPS adjustments [18][21] - The valuation of Asian tech stocks remains reasonable, with no bubble expectations in most large tech segments [18][21]