u/AlphaWinnersPick

The iShares Semiconductor ETF (SOXX) decisively rejected its 50!day moving average on Monday, reversing lower after testing the technical level and remaining below the shorter-term momentum indicator.
Shares currently hover around $528 and have not closed above the 50-day average since July 14. The fund is now drifting toward its 100-day moving average at $511.60, a key longer-term support level that traders are closely monitoring for potential stabilization.
Despite the near-term technical pressure, SOXX continues to trade well above that 100-day line. The $44B ETF has still posted a robust +75.7% gain year-to-date, supported by strong performance from its top holdings, including Nvidia (NVDA), Advanced Micro Devices (AMD), and Broadcom (AVGO).
While the recent failure at the 50-day average signals fading short-term momentum, the broader uptrend remains intact as semiconductor demand continues to underpin the fund’s longer-term trajectory.
Semiconductor ETFs: (SMH), (SOXX), (SOXL), (FTXL), (XSD), (USD), (PSI), and (SEMI).

Everyone compares AI to the dot-com bubble while using AI every day.

We ask it stupid questions, write emails and texts, summarize shit we don’t want to read, code, research, study, make spreadsheets, plan trips—the list keeps growing.

Enterprises are plugging AI into customer service, coding, cybersecurity, data analysis, sales, marketing, and basically every workflow where humans stare at screens and move information around.
Here’s the part bears underestimate: a shitload of this usage is still free.

Millions of normies are getting accustomed to having something in their pocket that can explain, write, research, and analyze almost anything for $0.
What happens when free tiers shrink and the best AI costs $20-30/month?

You can refuse to pay, sure. But when everyone around you is researching, learning, writing, and working 2-5x faster with AI, you’re putting yourself at an intellectual and productivity disadvantage over $20.

Eventually AI stops feeling like Netflix and starts feeling like internet access. And when companies figure out how to fully monetize the billions of people they spent years getting hooked on free AI?
Money printer go.

Berkshire Hathaway just made Alphabet its third-largest position at 11.7%. That's a very large position by Berkshire's standards. Given search's vulnerability to disruption, I was surprised Warren Buffett would advocate such a position, given that a durable moat is his primary focus. What do you all make of this? What does it say about search with regard to AI and Alphabet as an investment in general?

Investors Should Know: AI-driven data center expansion is creating a structural power shortage. Companies with contracted, dispatchable generation capacity across nuclear, natural gas, and battery storage are securing long-term agreements with hyperscalers at premium terms.
Background
Data center demand for reliable, always-on power has outpaced available supply. Hyperscalers including Amazon, Google, Microsoft, and Meta have all cited capacity constraints, with Amazon stating that much of its 2026 capacity is already reserved, according to a Morgan Stanley forecast projecting 2027 hyperscaler capital spending up 29% year-over-year to a potential $1.4 trillion.
Power generators with firm, contracted capacity (meaning output that can be dispatched on demand regardless of weather) are best positioned to capture that premium. Nuclear, natural gas, and battery-backed storage are the three technologies drawing the most hyperscaler interest.
Stocks to Watch
The leading pure-play nuclear operator in this space is Constellation Energy (CEG). Brookfield Renewable (BEP) offers multi-technology exposure, including an indirect nuclear stake through its Westinghouse position, which services roughly two-thirds of the world's operating nuclear fleet.
Entergy (ETR) has outlined a 7 to 12 gigawatt hyperscale pipeline and cited $7 billion in customer bill benefits from signed data center agreements. X-Energy (XE) is building out the nuclear supply chain with a binding agreement to double production of nuclear-grade graphite for its Xe-100 reactor design.
On the gas and storage side, Baker Hughes (BKR) and Babcock & Wilcox (BW) are supplying turbine and steam-generator equipment for data-center power projects. Energy Vault (NRGV) and Enlight Renewable Energy (ENLT) are deploying large-scale battery storage and solar-plus-storage projects under hyperscaler contracts.
Key Takeaways
Hyperscalers are signing long-term power purchase agreements directly with generators, with Morgan Stanley forecasting 2027 cloud capital spending could reach $1.4 trillion, up 29% year-over-year.
Nuclear is the scarcest firm asset, with the U.S. Department of Energy conditionally committing up to $17.5 billion in loan facilities for up to ten AP1000 reactor deployments.
Natural gas and battery storage are filling the near-term gap, with multiple companies announcing gigawatt-scale equipment orders and project agreements tied directly to hyperscaler demand.
News Roundup
Recent announcements across the power sector show hyperscaler demand translating into concrete contracts, equipment orders, and project financings. The examples below span nuclear supply chain buildout, gas turbine deployments, battery storage agreements, and renewable energy project financing, illustrating how broadly the AI power theme is reaching across the energy industry.
Entergy (ETR) — Management affirmed a 7 to 12 gigawatt hyperscale pipeline and cited $7 billion in customer bill benefits from signed data center agreements, though management acknowledged it does not have a firm timeline on new nuclear deployment.
X-Energy (XE) — The company signed a binding agreement with SGL Carbon to double production capacity of medium-grain isotropic graphite used in its Xe-100 reactor design, building on a 10-year framework agreement that included an initial award of more than $100 million.
Baker Hughes (BKR) — The company secured a 76-turbine, 1.3 GW order from Dynamis Power Solutions for mobile data-center power, positioning gas turbine equipment as a fast-deployable solution for hyperscaler load.
Babcock & Wilcox (BW) — Shares surged after the company announced a Siemens Energy agreement covering 20 steam-turbine generator sets representing 1 GW of data-center capacity, alongside a Q2 swing to profit, 130% year-over-year revenue growth, and raised adjusted EBITDA guidance of $80 million to $105 million.
Diamondback Energy (FANG) — The company's CFO outlined its Bryant Ranch bridge-to-grid project alongside an independent power producer partner, targeting first gas in the second half of 2027 via behind-the-meter reciprocating units, with $200 to $250 million per day being set aside for the project.
Energy Vault (NRGV) — The company announced a second strategic agreement to deploy 1.25 GW of integrated battery storage and grid-forming power infrastructure backed by a hyperscaler contract in Texas, with an expected revenue impact of $500 to $600 million across the second half of 2026 and 2027.
Enlight Renewable Energy (ENLT) — Management raised full-year 2026 adjusted EBITDA guidance midpoint to $575 million, highlighted the $2.6 billion CO Bar financing for a 1.2 GW solar plus 4 GWh storage project in Arizona, and signed its first U.S. hyperscaler power purchase agreement with Google for the Solstice project in Oklahoma.