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<p>MARA Holdings reported weaker first-quarter financial results while continuing to expand its artificial intelligence and high-performance computing infrastructure strategy. Despite lower revenue and larger losses, the company emphasized that Bitcoin mining remains the operational foundation of its business.</p>
<h2 class="wp-block-heading" id="revenue-declines-amid-bitcoin-market-volatility">Revenue declines amid Bitcoin market volatility</h2>
<p>MARA reported first-quarter revenue of $174.6 million, down 18% from $213.9 million during the same period last year.</p>
<p>Net losses widened to $1.3 billion, primarily due to unrealized losses tied to the company’s Bitcoin holdings. At the end of the quarter, MARA held 38,689 BTC on its balance sheet.</p>
<p>Following the earnings release, the company’s shares declined more than 5% in after-hours trading.</p>
<p>At the same time, MARA confirmed it is continuing its long-term diversification strategy. Management stated that Bitcoin mining remains the company’s “operational foundation,” while existing infrastructure is gradually being adapted for artificial intelligence and enterprise computing workloads.</p>
<p>The company also indicated that it does not expect to pursue large-scale ASIC hardware purchases going forward and will instead focus on projects with stronger economic returns.</p>
<h2 class="wp-block-heading" id="company-reduces-dependence-on-asic-expansion">Company reduces dependence on ASIC expansion</h2>
<p>A major part of MARA’s strategy centers on expanding energy and computing infrastructure assets.</p>
<p>The company continues working with Starwood Capital and advancing its Long Ridge Energy &amp; Power project in Ohio. The site includes a gas-fired power plant and land designated for future data center development.</p>
<p>According to MARA, the facility could eventually support more than 600MW of artificial intelligence computing load.</p>
<p>Management added that approximately 90% of the company’s self-operated mining capacity could potentially be redirected toward AI and critical computing infrastructure.</p>
<p>Key quarterly metrics included:</p>
<ul>
 <li>hashrate increased 33% to 72.2 EH/s</li>
 <li>Bitcoin production reached 2,247 BTC</li>
 <li>MARA sold approximately $1.1 billion worth of BTC</li>
 <li>proceeds were used to reduce debt obligations</li>
 <li>the company reduced future ASIC expansion plans</li>
</ul>
<p>The sale of Bitcoin reserves also pushed MARA lower in the ranking of public corporate Bitcoin holders.</p>
<h2 class="wp-block-heading" id="public-miners-continue-strategic-transformation">Public miners continue strategic transformation</h2>
<p>MARA’s report reinforces the broader transformation underway across the Bitcoin mining industry. Large operators increasingly use existing power infrastructure to expand into artificial intelligence and data center services.</p>
<p>At the same time, companies are not fully abandoning Bitcoin mining. Most operators continue pursuing hybrid models where infrastructure supports both mining and computing workloads.</p>
<p>Analysts believe this strategy may reduce exposure to cryptocurrency market volatility while creating more stable long-term revenue streams.</p>
<h2 class="wp-block-heading" id="miners-focus-on-long-term-computing-projects">Miners focus on long-term computing projects</h2>
<p>MARA’s transition highlights how the mining industry is evolving into a broader digital infrastructure sector.</p>
<p>Companies increasingly view power assets, industrial land and data centers as their most valuable resources, while ASIC hardware is becoming less central to long-term growth strategies.</p>
<p>Over the next several years, competition among mining firms may shift away from pure Bitcoin production and toward artificial intelligence infrastructure and computing capacity.</p>
<p>Read also: <a href="https://ultramining.com/news/en/bitcoin-miners-accelerate-multi-billion-ai-pivot/" rel="noopener noreferrer nofollow">Bitcoin miners accelerate multi-billion AI pivot</a></p>

MARA revenue falls amid expansion into AI infrastructure

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