特高压权重高达66.28%+智能电网含量55%+可控核聚变含量14%"：电网设备ETF(159326)，最新规模突 破200亿，权重股包括国电南瑞（国内电网智能龙头）、特变电工（全球特高压设备核心供应商）、思 源电气（电力设备研发与制造）等。 格隆汇2月27日｜今日HALO资产继续霸屏涨幅榜，有色金属、矿业、钢铁、电力全线上扬，绿电 ETF(562550)涨1.74%，资金盘中逆势净申购电网设备ETF(159326)1.95亿份，预估净申购4.18亿元，已连 续5日获资金净申购，年内流入额高达151.15亿元，居ETF市场第一。 消息面上 ，高盛、摩根斯丹利同步看好HALO交易，前者提出：AI时代资金正在涌向"重资产、低淘 汰"（HALO）实体资产，比如电网、管道、公用事业、交通基建及关键工业产能，后者也认为具有高 进入壁垒且不易被技术淘汰的实体资产（即"HALO"交易）构成了当前最佳的对冲策略。 HALO含量高的相关产品： MACD金叉信号形成，这些股涨势不错！ AI核心算力层：通信ETF华夏(515050)，权重股以通信设备（中兴通讯）、消费电子（立讯精密）、光 模块（中际旭创）为主，同时覆盖AI算力硬件 ...

Group 1 - The electric power sector experienced a strong rally, with multiple stocks hitting the daily limit, including YN Energy Holdings with seven consecutive limit-ups, Gannan Energy with three, and Huayin Power with two [1][5] - The electric power ETF, Huabao (159146), surged over 1.5%, reaching a new high since its listing, and is on track for a fourth consecutive daily gain [1][5] Group 2 - Fund manager Cao Xuchen of the electric power ETF Huabao (159146) noted that the sector's strong performance post-Spring Festival is primarily driven by "HALO trading," where physical assets like energy and electricity are seen as essential amid the rise of AI, which is expected to increase electricity demand [3][7] - The ETF focuses on the electric utility sector, covering thermal, hydro, wind, nuclear, and solar power, and is positioned to benefit from both dividends and growth, with a high concentration of leading electric stocks [3][7]

在AI革命加速演进的背景下，寻找重资产、低淘汰率（Halo）企业的投资策略正主导市场，而日本股市 有望成为这一交易的终极赢家。 2月26日，英国《金融时报》东京分社负责人利奥·刘易斯（Leo Lewis）撰文称，AI带来的行业颠覆促 使投资者迅速调整投资组合，寻找具备抗风险能力的"非输家"。分析指出，曾经因重资产模式而备受资 本冷落的日本企业，如今正因其独特的工业底蕴和不可替代的技术壁垒，成为全球投资者抵御科技冲击 的关键避风港。 据华尔街见闻此前文章，摩根士丹利认为，目前资金正从轻资产叙事转向"HALO"交易（重资产、低淘 汰），即配置具有高壁垒、难被技术替代的实体产能与网络（如电力、铁路等），以对冲AI带来的不 确定性。 值得注意的是，Leo Lewis认为，这一趋势正在实质性地重塑市场对日本资产的定价逻辑。随着美国等 经济体大力推进再工业化，并应对AI带来的庞大能源和基建需求，日本企业凭借在关键材料和高端制 造供应链中的核心地位，正迎来利润率的大幅扩张和估值的全面重估。 定价逻辑反转：从"僵尸企业"到AI避风港 面对AI引发的快速变革，寻求重资产、低淘汰率（Halo）特征的投资成为市场焦点。 工业底蕴显 ...

Core Viewpoint - The article discusses a new transaction structure in the AI sector termed "HALO," which stands for "Hire And License Out," representing a hybrid model between acquisition and hiring, allowing companies to employ startup teams while licensing their intellectual property [1][5][6]. Group 1: HALO Transaction Characteristics - HALO transactions are characterized by rapid execution, high prices, and are currently unique to the AI industry [3][4]. - Unlike traditional acquihires, the acquiring company does not purchase the startup but hires its personnel and obtains a non-exclusive license for its intellectual property [2][7]. - The financial returns for startup investors and employees are structured to resemble those of an acquisition, with licensing fees set close to acquisition amounts [8][12]. Group 2: Social Contract and Market Dynamics - There are concerns that HALO transactions may disrupt the social contract between founders, investors, and employees, but they are seen as efforts to maintain this contract in a new environment [10][11]. - The rise of HALO transactions is partly attributed to the current antitrust environment, which has made traditional acquisitions more politically charged and uncertain [13][14]. Group 3: Talent Valuation in AI - The article emphasizes that in the AI sector, talent is increasingly valued over traditional assets, with companies willing to pay substantial amounts to secure key teams [16][17]. - The scarcity of experienced talent in AI makes these individuals highly sought after, as the technology itself depreciates rapidly [18][22]. Group 4: Future of HALO and Industry Implications - HALO is viewed as a signal of the evolving focus on human capital over company assets, indicating a shift in market dynamics [25]. - The structure of HALO transactions is still in its infancy and may require further refinement to establish clearer industry norms and improve efficiency [30][31].