Some industry commentary regarding a few claims recently on memory + Softbank Turbine defaulting.
- On claims that LTAs are "meaningless while prices fall": $Micron Tech(MU.US): "strategic customer agreements cannot be unilaterally canceled. Customers are obligated to pay for their committed volumes whether they take delivery or not""These are take or pay agreements and there are no contractual outs for our customers from these agreements"Regarding historical contracts breaking: "These LTAs that we used to have never had any binding terms." The new SCAs contain extensive contractual obligationsRegarding Elon's claims on Softbank defaulting on Turbines:Question from Morgan Stanley to $GE Aerospace(GE.US) Vernova CEO on whether they see cancellations or financing difficulties with counterparties on their turbine orders:“No… we are not”TLDR:- Micron states LTAs/SCAs are noncancellable take/pay (where counterparties are hyperscalers). And that these types are different from historical memory cancellations. - On Softbank turbine orders, GE Vernova CEO Scott Strazik said it wasn't seeing customer financing disruptions, requests to exit turbine reservations, or slowdowns. Maybe Elon's claims are more narrow, but should be evaluated more closely given competitive interests vs. Softbank/OpenAI.What's on your mind?
- S
$Vertiv(VRT.US) orders just doubled in a single year.
Vertiv says organic orders jumped more than 100% in Q3 as AI data center demand keeps accelerating.Sales hit $4.31B, up 61% and well above the roughly $3.75B Wall Street expected.Adjusted EPS came in at $2.21 vs about $1.82 expected, up 78% from a year ago.Vertiv raised its 2026 sales outlook by $650M to $14.65B and lifted adjusted EPS guidance to $7.15.The stock is up about 16% premarket.$GE Vernova(GEV.US) is telling the same story. Orders hit $29.3B, up 96% organically, and backlog climbed to $197B with $200B+ expected by year end.GE Vernova also doubled its buyback authorization to $20B. Shares are up about 3% premarket."We are in the middle of the largest infrastructure buildout and it's accelerating," said Vertiv CEO Giordano Albertazzi.The chips get the headlines, but every AI data center still needs power and cooling. When the companies selling the picks and shovels see orders double, the buildout isn't slowing down.Source: StockMarket.News
- HHeroic Lifesaver
Total Assets
Rate Of Return$GE Vernova(GEV.US)
Post 5 of Episode 25
Context: What I find interesting about GE Vernova today is the contrast between its business fundamentals and recent share-price weakness. Demand for power infrastructure remains strong, but the market is increasingly questioning how sustainably the AI buildout can be financed. Meanwhile, GEV has been securing better pricing on new gas-turbine orders, suggesting that equipment scarcity is translating into genuine commercial advantages.
My trade: I’m increasingly looking beyond the size of GEV’s order book. What matters to me now is the quality of those orders, the margins they can generate and the cash flow that ultimately follows. The recent correction is a useful reminder that even an excellent business can become vulnerable when market expectations run ahead of execution.
Takeaway: A massive backlog tells us customers want your products. It doesn’t automatically tell us how profitable those orders will be. For GEV, the real opportunity may be turning today’s power-equipment scarcity into years of higher-margin earnings and cash generation. That’s where the long-term value will ultimately be proven.
@Captain's Treasure
Trade Showcase: Trade, Show & Earn Rewards! - HHeroic Lifesaver
Total Assets
Rate Of Return$GE Vernova(GEV.US)
Post 5 of Episode 24
Context: What has become increasingly interesting to me about GE Vernova is that its opportunity may extend well beyond the current gas turbine boom. The recent US regulatory approval for its 300 MW BWRX-300 small modular reactor marks an important milestone. With construction already underway for the same reactor design in Canada, nuclear power is gradually becoming a more credible additional growth opportunity.
My trade: I originally viewed GEV primarily through the lens of power generation and grid infrastructure. That thesis remains intact, but the progress in small modular reactors adds another dimension. If standardised nuclear designs can eventually be deployed economically at scale, GEV could participate in both today’s urgent power shortages and tomorrow’s longer-term energy infrastructure expansion.
Takeaway: What makes GEV particularly interesting is that it doesn’t need to bet on one energy technology winning. Whether the solution is gas, grid expansion or eventually nuclear, the underlying demand for reliable electricity remains. Sometimes the strongest investment thesis is having several ways to benefit from the same structural trend.
@Captain's Treasure
Trade Showcase: Trade, Show & Earn Rewards! - JJPJP
Rate Of Return$Defiance AI & Power Infrastructure ETF(AIPO.US)
Context:
AI technology needs energy and infrastructure to function. Power generation, nuclear energy, and grid modernization remain the primary physical bottlenecks for expanding hyperscale data centers.
My trade:
I am continuing to hold my position in AIPO ETF.
Going forward, I will continue to monitor and add shares near key technical consolidation support levels to steadily accumulate more shares if necessary.
Takeaway:
Staying invested in a thematic ETF like AIPO allows me to maintain exposure and also to capture structural, multi year expansion across critical electrical grid suppliers, utility providers, and cooling infrastructure leaders. This includes companies like GE Vernova, Eaton, and Vertiv that power the physical backbone of the AI revolution.
2026.07.29 ~ 2026.10.02 All ordersCumulative P/L-2.77 (USD)-1%2026.07.292026.10.02Trade Showcase: Trade, Show & Earn Rewards! - S
- S
- HHeroic Lifesaver
Total Assets
Rate Of Return$GE Vernova(GEV.US)
Post 5 of Episode 23
Context: My original interest in GE Vernova was simple: AI needs enormous amounts of electricity, and power is becoming one of the biggest constraints on data-centre growth. What has strengthened the thesis is that this is now showing up in the numbers. GEV ended Q2 with a $176 billion backlog, while gas-power equipment backlog and slot reservations reached 116 GW. Even more striking, data-centre orders within Electrification exceeded $5 billion in the first half of 2026 — already more than double the total for all of 2025.
My trade: I increasingly see GEV not simply as an AI-adjacent power play, but as a company monetising scarcity across both generation and the grid. Gas turbines address the need for dependable new power, while its electrification businesses help move and transform that electricity. The Prolec GE acquisition adds further exposure to the transformer and grid-equipment side of that bottleneck.
Takeaway: A good thematic investment becomes more interesting when the story starts turning into orders. For GEV, AI’s power problem is no longer just a future forecast — increasingly, it is becoming backlog.
@Captain's Treasure
Trade Showcase: Trade, Show & Earn Rewards! - C

FOMC Read: From Trust Crisis to Recession Fears
The September FOMC is done. The Fed hiked. Markets still didn’t get what they wanted.At 2 a.m. SGT Sept. 17, the Fed raised the federal funds target range by 25 bps to 3.75%–4.00% in a 12-0 vote. Firs...
CPI Ran Hot. Will The Fed Hike 50bp? - E
TrendForce: Global Power Demand Capacity
> Global data center power demand capacity is expected to expand from 122.9 GW in 2025 to 161 GW in 2026.> The share of AI servers is likely to exceed 40% by 2027, whereas the share of general servers is expected to decline from around 40% historically to 25.6% by 2027.> AI servers accounted for approximately 25% of total data center power demand capacity in 2025, and are projected to rise to 33.4% in 2026.> The share of AI servers is likely to exceed 40% by 2027, whereas the share of general servers is expected to decline from around 40% historically to 25.6% by 2027.> The global data center power supply-demand gap in 2030 is estimated at 268 GW.> Based on current grid data, the U.S. data center power supply-demand gap is estimated to exceed 170 GW by 2030.$NVIDIA(NVDA.US) $GE Vernova(GEV.US) $AMD(AMD.US) $Alphabet(GOOGL.US) $Amazon(AMZN.US) $Microsoft(MSFT.US) $Dell Tech(DELL.US)
