Zhi Tong Cai Jing·2026-02-25 00:31Core Viewpoint - The current AI industry in the U.S. exhibits characteristics of a "rigid bubble," supported by deep integration into national strategy and strong policy backing, while also facing significant valuation pressures and competition between capital expenditure and output efficiency [1][2]. Group 1: Economic Importance and Policy Support - The development of AI has become central to U.S. national strategy and political correctness, receiving robust policy support and backing from major corporations [1]. - AI-related industries have rapidly increased their share of U.S. GDP from 5.35% in Q1 2020 to 7.36% by Q3 2025, indicating its role as a core growth pillar [1]. - The market capitalization of AI giants, represented by "MAG7," accounts for over 30% of the S&P 500 index, contributing significantly to market growth [1]. Group 2: Political Dynamics - The economic significance of AI has been deeply politicized, with influential figures like Musk and Sachs forming a closed loop of "personnel-policy-interest" through substantial political donations and direct participation [2]. - The U.S. government has systematically dismantled previous regulatory frameworks to facilitate AI industry growth, linking its political survival to the prosperity of the AI sector [2]. Group 3: Valuation and Market Dynamics - The valuation of AI stocks is currently high, with the Nasdaq index's forward P/E ratio stabilizing despite rising stock prices, indicating a rational basis for market growth [3]. - The 12-month forward EPS for the Nasdaq index has risen from approximately $610 at the end of 2024 to $826, suggesting strong earnings growth is absorbing stock price increases [3]. - Unlike the tech bubble era, current tech giants maintain steady revenue growth, supported by robust cash-generating core businesses [3]. Group 4: Constraints on AI Industry Expansion - The AI industry's expansion faces four significant constraints: a dangerous gap between capital expenditure and output efficiency, impending cash flow pressures, physical limitations in semiconductor production and energy supply, and unresolved competition in technology pathways [4][5][6]. - Major companies plan to increase capital expenditures to a total of 640.4 billion yuan by 2026, a 55% increase year-on-year, which may lead to a reliance on future revenue growth [5]. - The industry debt has rapidly escalated to over $150 billion, indicating a potential cash flow gap as companies strive to meet high shareholder return commitments [5]. Group 5: Investment Strategy Recommendations - The company suggests constructing a three-tier dynamic asset allocation strategy in anticipation of a narrative reversal in the AI bubble [7]. - The first tier focuses on "rock-solid" opportunities in internet giants with stable cash flows, providing downside protection and liquidity support [7]. - The second tier emphasizes "shovel-type" opportunities in computing infrastructure, benefiting from increased AI capital expenditure and potential profit increases due to supply constraints [8]. - The third tier targets "contrarian" opportunities in the software sector, where concerns about AI applications may be overblown, allowing for strategic positioning after market corrections [8].