You know, obviously there's there's been a volatile element that has come into the AI sentiment here. >> Absolutely. >> A lot of it is centered around Oracle and sort of funding of these projects, private credit and its involvement in all of this.Like what are your thoughts on this. Yeah, I mean we've definitely seen um you know some concern building you know kind of within the markets you know just in terms of the amount of capex that is being committed you know kind of Oracle and the open AI kind of side ...

Boom Supersonic raises $300M to build natural gas turbines for Crusoe data centers https://t.co/kI4Xjq2qvQ ...

Core Insights - The energy sector, particularly natural gas stocks, is experiencing a resurgence driven by the demand from AI data centers, which require reliable power sources for their operations [1][2][12] Group 1: Natural Gas Stocks - Williams Companies operates one of the largest interstate natural gas pipeline systems in the U.S., with a 12-month stock price forecast of $62.00, indicating a 5.91% upside [3] - The company is seeing rising demand from data center developers for high-volume, low-cost, and reliable baseload power, aligning with its pipeline assets in key regions [4] - Data center developers are selecting sites near existing natural gas infrastructure, which is increasing Williams' capital expenditures [5] Group 2: EQT Corporation - EQT is the largest natural gas producer in the U.S. and is investing in certified low-emissions natural gas, which is increasingly important for data center developers [9] - The stock has recently pulled back, making it an attractive entry point, with analysts forecasting a 32% earnings growth over the next 12 months and a forward P/E around 15x [10] Group 3: GE Vernova - GE Vernova, a spin-off from General Electric, is a leading producer of natural gas turbines and is expected to grow earnings at 67.8% over the next 12 months [12][14] - The company is also involved in grid modernization, supplying essential equipment to manage surging electricity demand from AI data centers [13]