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The artificial intelligence (AI) revolution is reshaping global energy demand at an unprecedented pace. By 2030, AI-driven data centers are projected to quadruple electricity consumption compared to 2023 levels, creating a critical need for resilient,
infrastructure [1]. In Q2 2025, Broyhill’s investment strategy has pivoted to capitalize on this megatrend by targeting undervalued energy and infrastructure stocks positioned to meet the surging demand for power. This approach contrasts sharply with speculative AI investing, which often focuses on high-growth tech firms with uncertain valuations.AI workloads, particularly generative AI and large language models, are driving electricity consumption at a scale akin to small cities. Data centers now account for 4% of U.S. power demand, a figure expected to rise to 12% by 2030 [2]. This surge is accelerating the transition from coal to natural gas and renewables, with liquefied natural gas (LNG) infrastructure and grid modernization emerging as key beneficiaries. According to a report by Bloomberg, global clean energy investment is projected to hit $2.5 trillion in 2025, underscoring the scale of the opportunity [3].
Broyhill’s Q2 2025 portfolio reflects this shift. The firm has increased exposure to energy infrastructure firms like Constellation Energy (CEG) and NextEra Energy (NEE), which are securing long-term power purchase agreements with hyperscalers like
and . Constellation, for instance, is leveraging its nuclear fleet to provide 24/7 carbon-free power for AI operations, while is expanding solar and battery storage to address intermittency challenges [4]. These investments align with the "all-of-the-above" energy strategy outlined in the One Big Beautiful Bill Act (OBBBA), which preserves incentives for technologies critical to the AI race [1].While speculative AI investing has fixated on pure plays like
and C3.ai, Broyhill’s value-oriented approach targets energy firms with stable cash flows and tangible assets. For example, Cheniere Energy (LNG) and Kinder Morgan (KMI) are benefiting from the transition to natural gas as a bridge to renewables, with LNG infrastructure playing a pivotal role in AI-era power reliability [5]. These companies operate fee-based models, offering predictable earnings even as AI demand surges.In contrast, speculative AI stocks often trade at lofty valuations. NVIDIA, for instance, commands a 52.4x price-to-earnings (P/E) ratio, while C3.ai remains unprofitable [6]. Broyhill’s focus on energy infrastructure provides a more conservative alternative, with firms like NRG Energy and Bloom Energy (BE) offering discounted valuations and strong cash flow from AI-driven data center contracts [7]. NRG’s recent acquisition of LS Power’s 13 GW natural gas assets, coupled with partnerships with Google Cloud, highlights its strategic positioning to meet AI’s energy needs through virtual power plants (VPPs) [8].
Infrastructure stocks are increasingly seen as a hedge against economic volatility. According to a report by CBRE, the sector is projected to outperform the S&P 500 by 5% annually over the next decade, driven by AI-related demand [9]. Broyhill’s Q2 2025 portfolio includes exposure to ETFs like the Amplify Samsung U.S. Natural Gas Infrastructure ETF, which targets LNG terminals and midstream operators at a discount to net asset value [10]. This diversification strategy mitigates risk while capturing growth from AI-driven infrastructure modernization.
Meanwhile, speculative AI investing remains concentrated in a narrow set of stocks. The "Magnificent 7" tech firms have committed $325 billion to AI infrastructure in 2025, but their dominance raises concerns about overvaluation and regulatory scrutiny [11]. Broyhill’s approach, by contrast, prioritizes companies with physical assets and long-term contracts, such as Oklo (OKLO), which is developing microreactors for off-grid AI data centers [12].
As AI reshapes the energy landscape, Broyhill’s Q2 2025 strategy underscores the importance of aligning with structural trends while avoiding speculative excess. By investing in energy and infrastructure firms with durable cash flows and policy tailwinds, the firm is positioning for long-term value creation. While the allure of AI pure plays remains strong, the energy infrastructure sector offers a more resilient path to capitalizing on the AI boom—a lesson in the enduring power of disciplined, value-oriented investing.
Source:
[1] Power Surge: How America's Race for Superintelligence Is ... [https://individuals.
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