Silicon Valley Titan Makes Big Bet on Energy Stocks: Thiel Macro Initiates Large Position in Power Utilities, AI Electricity Usage Bottleneck Drives Investment Strategy

BlockBeats News, August 19th - The latest 13F regulatory filing shows that Thiel Macro LLC, backed by Peter Thiel, significantly increased its holdings in energy, utility, and energy-related stocks in the second quarter. This move indicates that some tech investors are now considering energy supply as a key bottleneck in the next phase, as the demand for electricity in AI data centers continues to rise.

As of June 30th, the fund's US stock holdings were valued at approximately $419 million. Among them, the holdings in energy, power, and utilities were around $301 million, accounting for about 70% of the portfolio, making it the most prominent allocation direction in the second quarter.

Specifically, Thiel Macro's new positions include Argentine shale gas company Vista Energy, with a holding value of approximately $75.91 million; US power company Vistra with around $59.13 million; American Electric Power with about $42.22 million; DTE Energy with about $40.29 million; FirstEnergy with about $39.90 million; and CMS Energy with about $39.56 million. In addition, the fund also holds nuclear energy-related company X-Energy with around $3.67 million. Amazon remains its largest single holding, valued at around $118 million.

Vistra is one of the representative targets in AI power trading this year. As large cloud providers continue to expand data centers, the market expects that power generation assets, grid loads, power purchase agreements, and nuclear energy restarts will become a significant part of AI infrastructure investment.

However, the 13F filing only reflects long US stock positions at the end of the quarter, and it does not show short positions or complete exposure to derivatives, nor does it indicate that current positions have not changed. Nevertheless, looking at the portfolio structure at the end of the second quarter, Thiel Macro's concentrated allocation to energy and utilities still provides a clear signal for AI infrastructure trading: in a market environment where computational power demand continues to expand, the electricity constraint will become increasingly hard for investors to ignore.