· 个股论点

看好$XLU虚值长期期权,因AI电力需求爆发叠加降息周期带来历史性机遇。

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中文翻译

如果我要在1年内将10万美元变成100万美元。 我会选择:$XLU 虚值(OTM) 2年期长期期权(LEAPS) 2026年是现代市场历史上首次同时出现: - 利率下降 - AI推理(AI Inference) + 基础设施建设 通过映射分析,$XLU 有潜在约40%的涨幅(虚值期权可能带来1000%+的收益)。 这是我的宏观论点: 1. 降息 当美联储在不引发衰退的情况下降息时,公用事业公司的债务成本降低,机构投资者会将低收益的现金转向公用事业股息。 这会导致估值倍数立即扩张: 1995年:标普公用事业板块(S&P Utilities)在1995年回报+31.3%,1996年再+12.1%——累计回报约47% 2019年中周期降息:结果:$XLU 在该年产生+25.9%的总回报 标准的软着陆降息周期自然映射为25%至30%的基础回报。而我们要进入2026年的新降息周期。 2. 基础设施超级周期资本支出(CapEx) 基础设施资本支出为该板块带来复合盈利增长。继2000年代初之后,公用事业公司进入大规模资本支出周期以现代化老化的电网基础设施。 由于他们不断支出并扩大其受监管的费率基数(rate base),$XLU 在2004年回报+23.5%,2005年+16.3%,2006年+20.8%,2007年+18.4%。 然而这一次: 2026年8000多亿美元的AI建设支出,使得2004年的电网现代化看起来像零钱一样微不足道。 因此,你有来自#1降息的估值倍数扩张(+15%至+20%),以及来自#2资本支出历史数据的每股收益(EPS)增长(+18%至+20%)。仅从历史教训来看。 但2026年是历史上AI使用带来的最独特时刻。 仅从我自己的模型预测来看,由于AI极端扩张,所有以前的估计可能都是错误的(例如美国能源部/劳伦斯伯克利国家实验室的预测): 超大规模云服务商(Hyperscaler)资本支出流入(支出)(亚马逊、微软、Meta、谷歌、甲骨文)进入数据中心估算: 2024年:2200亿美元 2025年:3500亿美元 2026年:5500亿美元 2027年:8000亿美元 2028年:1.2万亿美元(4年增长:+445%) 美国数据中心电力使用量: 2024年:190太瓦时(TWh) 2025年:280太瓦时 2026年:430太瓦时 2027年:650太瓦时 2028年:980太瓦时(4年增长:+415%) AI消耗的总美国电力百分比: 2024年:美国电网的4.5% 2025年:6.6% 2026年:8.2-10.2% 2027年:13.4-15.4% 2028年:21.3-23.3% 劳伦斯伯克利国家实验室和美国能源部似乎低估了AI使用量(他们预测到2028年约为12%) 物理电网容量需求: 2024年:18吉瓦(GW) 2025年:35吉瓦 2026年:65吉瓦 2027年:105吉瓦 2028年:160吉瓦 基本上你可以看到2026年到2028年是拐点,而2024-2025年是爬坡期的缓慢年份。 然后是独立公司的“绝望溢价”。因为电网容量已售罄,科技巨头向公用事业公司支付巨额溢价以插队。例如PJM互联电网(弗吉尼亚“数据中心巷”),容量价格从2024年的每兆瓦日28.92美元飙升至2026/2027年令人难以置信的329.17美元。 $VST 或 Constellation 作为独立电力生产商在ETF中占很大权重。 纵观全局,你可以看到从2026年(现在)到2028年的极端扩张,以及用于建设基础设施的极端资本支出,与往年相比。 2026年是现代市场历史上第一次,所有因素同时为枯燥的电网/电力板块发力,其中AI是最大的顺风。 正如埃隆·马斯克所说:“数十亿美元最先进的硬件。闲置黑暗。不是因为芯片不工作。而是因为没有足够的电力来运行它们”。 再次强调,2026年由于AI和做市商(MMs)基于历史隐含波动率(IV)(极度平坦~14%-16%)定价虚值看涨期权,是一个绝对的历史异常值。 我们看到AI推理(超出之前的测量范围)以及训练(根据OpenAI今天的报告)的爆发。 所以,地球上最无聊的板块(电力/电网),可能会因为超大规模云服务商/政府对电网改进的支出 -> AI推理/训练的极端电力消耗 -> 降息等因素,成为重大反弹的起点。 这只是我的个人论点,期权伴随风险并放大下行风险。这些也是我自己的预测,不确定是否会高于或低于它们。 但基本上: 2026年是一个绝对的历史异常值。 美国的新瓶颈是电力。 有来自AI的极端需求,极端资本支出,降息: $XLU 看起来是暴露于此的最佳交易。 时间会证明这是否正确。

英文原文

If I had to turn $100k -> $1M in 1 year. It would be: $XLU OTM 2 year leaps 2026 is the first time in modern history markets have: - falling interest rates - AI inference + buildout There's a potential ~40% for XLU (1000%+ OTM), from mapping. Here's my macro thesis: 1. Rate Cuts When the Fed cuts rates without a recession, utility debt becomes cheaper, and institutional rotates low-yielding cash to for utility dividends. This causes immediate valuation multiple expansion: 1995: The S&P Utilities sector returned +31.3% in 1995 and another +12.1% in 1996 - ~47% cumulative return 2019 Mid-Cycle Cut: Result: XLU generated a +25.9% total return in that single year Standard soft-landing rate-cut cycle naturally maps to a 25% to 30% baseline return. And we're entering a new rate cut cycle in 2026. 2. The Infrastructure Supercycle Capex Infra CapEx gives the sector compounding earnings growth. Following the early 2000s, utilities entered a massive CapEx cycle to modernize aging grid infrastructure. Because they were constantly spending and expanding their guaranteed rate base, XLU returned +23.5% in 2004, +16.3% in 2005, +20.8% in 2006, and +18.4% in 2007. However this time: The $800B+ AI buildout of 2026 makes the 2004 grid modernization look like pennies. So you have Valuation Multiple Expansion (+15% to +20%), from rate cuts from #1. EPS growth (+18% to +20%) from #2 from capex spend historically. Just from a history lesson. But 2026 is the most unique moment in history from AI usage. Just from my own model projections as all former estimates are likely wrong from extreme AI ramp (eg. DOE/LBNL projections): Hyperscaler CapEx Inflows (Spend) - (Amazon, Microsoft, Meta, Google, Oracle) into DCs est: 2024: $220 Billion 2025: $350 Billion 2026: $550 Billion 2027: $800 Billion 2028: $1.2 Trillion (Growth: +445% over 4 years) U.S. Data Center Power Usage: 2024: 190 TWh 2025: 280 TWh 2026: 430 TWh 2027: 650 TWh 2028: 980 TWh (Growth: +415% over 4 years) % of Total U.S. Electricity Consumed by AI: 2024: 4.5% of the U.S. grid 2025: 6.6% 2026: 8.2-10.2% 2027: 13.4-15.4% 2028: 21.3-23.3% Lawrence Berkeley National Laboratory and the Department of Energy seem off by AI usage (they're projecting ~12% by 2028) Physical Grid Capacity Demand: 2024: 18 GW 2025: 35 GW 2026: 65 GW 2027: 105 GW 2028: 160 GW Basically you can just see 2026 into 2028 being the inflection point whereas 2024-2025 where slower years on the ramp up. Then there's the "Desperation Premium" for independent companies. Because grid capacity is sold out, tech giants are paying massive premiums to utilities to cut the line. eg. PJM Interconnection (Virginia "Data Center Alley"), capacity prices spiked from $28.92 per MW-day in 2024 to an unfathomable $329.17 per MW-day for 2026/2027. $VST or Constellation are a large weighting in the ETF as independent power producers. Across the board, you can see the extreme ramp from 2026 (now) into 2028 compared to previous years, alongside extreme capex going into building the infrastructure. 2026 is the first time in modern market history that every single thing is firing at the same time for the boring grid/power sector with AI as the biggest tailwind. And as Elon quotes it: "Billions of dollars of the most advanced hardware. Sitting dark. Not because the chips won't work. Because there's not enough electricity to run on them". Again 2026 is an absolute historical anomaly due to AI and MMs have priced in historical IV (extremely flat ~14%-16%) for OTM calls. We're seeing an explosion in AI inference (beyond previous measurements) as well as training (per OpenAI report today). So the most boring sector on earth (power/grid), might just be the start of a major rally due to hyperscaler/gov spend into grid improvements -> extreme power consumption from AI inference/training -> rate cuts and others. This is just my personal thesis, options come with risk and magnifies downside too. These are also my own projections, no certainty if they will exceed or be lower than them. But basically: 2026 is an absolute historical anomaly. New bottleneck in the US is power. There's extreme demand from AI, extreme capex, rate cuts: $XLU looks like the best trade for exposure. Time will tell if this is right or not.

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