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⚡AI Data Centers Take Priority for Institutional Bitcoin Miners⛏️

Croxroad

29 Aug 2024 — 4 min read

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🪇 Bernstein

Institutional investors are increasingly turning their attention to Bitcoin mining companies, not just for their cryptocurrency potential but also for their substantial artificial intelligence (AI) infrastructure. A recent Bernstein report highlights an unexpected synergy between AI and Bitcoin mining, suggesting that investors drawn by the AI capabilities of these companies might also benefit from the cryptocurrency bull markets. The report underscores that while institutional interest initially stems from the AI potential, they might end up reaping the rewards of a booming Bitcoin market.

Bitcoin miners are well-positioned to capitalise on both AI and cryptocurrency opportunities due to their substantial power resources and strategic locations. Currently, these miners have access to 4 gigawatts (GW) of power, with projections to expand to 12 GW by 2027. Bernstein's report notes that despite Bitcoin miners trading at a discount compared to traditional data centres, they have significant infrastructure advantages. The massive power capacity and experience in managing high-density operations at 70-80 kilowatts (KW) per rack align well with the energy demands of AI computing.

Furthermore, Bitcoin miners have strategically located their operations around "stranded power" sources, which offers both cost benefits and efficiency. Sites like TeraWulf’s Lake Mariner, with its 500 MW hydropower capacity, exemplify how these locations provide the necessary resources for both mining and AI operations. Bernstein also points out that Bitcoin miners’ expertise in power cost management and their established relationships with utilities could be highly valuable in meeting the energy-intensive requirements of AI technology. As institutional interest in this dual opportunity grows, Bitcoin mining companies may find themselves benefiting from an unexpected surge in both AI and cryptocurrency markets.

🔋 PlanB Doubles Down on $500,000 Bitcoin Forecast

Quant analyst PlanB remains steadfast in his prediction that Bitcoin (BTC) is on track to reach an average price of $500,000 between now and 2028. Despite a period of sideways movement over the past six months, PlanB maintains his bullish stance, attributing his confidence to Bitcoin’s historical performance and key market indicators. He acknowledges that while the recent market consolidation was expected, his long-term target remains intact, with a price range between $250,000 and $1 million.

PlanB sites Bitcoin’s historical behaviour following its interactions with the 200-week moving average (MA) as a significant factor in his forecast. He notes that Bitcoin has previously experienced a 4x increase from its 2022 lows and predicts a potential 7 to 10x move from current levels. This prediction aligns with his broader outlook that Bitcoin’s market cycles will continue to unfold as anticipated, with institutional adoption playing a supportive role rather than altering the asset's trajectory.

According to PlanB, increased institutional involvement, such as that from major players like BlackRock, is viewed as an integral part of Bitcoin’s adoption pattern rather than a disruptor of its market dynamics. He argues that institutional investors contribute to the ongoing pattern of market cycles and are essential for sustaining the growth trajectory that he envisions for Bitcoin.

👷 Utility

Gold's utility is extensive, spanning various applications from currency and luxury items to dentistry and electronics. This broad functionality helps gold retain its value during economic downturns. In contrast, Bitcoin's utility is currently more limited, primarily serving as a digital currency and speculative investment. However, emerging technologies like decentralised finance (DeFi) are expanding Bitcoin's use cases, potentially incorporating it into lending, borrowing, and other financial transactions. While Bitcoin has the potential to become as versatile as gold, it also faces risks of becoming obsolete if its adoption and applications do not develop as expected.

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