IREN shares climbed sharply on Monday after the AI cloud and data center company announced a $2.8 billion multi-year artificial intelligence cloud contract with customers including Perplexity, Figure AI, Together AI, and Fluidstack, adding fresh momentum to its rapid pivot away from its earlier focus on Bitcoin mining.
The stock rose more than 9% in premarket trading and gained as much as 20% during the regular session, lifting the company’s market value to roughly $12 billion at its intraday peak. Trading activity also increased sharply as the announcement spread across U.S. equity markets, reflecting renewed attention on companies that can provide power, land, data center space, and high-performance computing capacity for AI workloads.
The new deal pushed IREN to raise its 2026 annual recurring revenue target from $3.7 billion to more than $4 billion. The company said about 85% of that updated target is already supported by signed agreements, giving the market a clearer view of contracted demand for its cloud computing resources.
IREN also pointed to its previously announced $9.7 billion contract with Microsoft, signed in November 2025. Together with the latest AI cloud agreement, the company said its total contracted AI-related business now exceeds $12 billion.
The announcement marks another major step in IREN’s transformation from a Bitcoin mining operator into a broader AI infrastructure provider. The company is seeking to use its access to large-scale power, land, and operating data center sites to serve customers that need graphics processing units, advanced cooling, and high-density cloud capacity.
Shares rally after AI contract announcement
The market reaction was immediate. IREN’s stock moved higher before the opening bell, then accelerated during regular trading as traders weighed the size of the new contract and the higher revenue target.
The rally placed IREN among the more visible names in the growing group of former or current digital asset infrastructure companies trying to reposition themselves for the AI boom. Many of these companies already control something that has become increasingly scarce: large power connections and data center campuses that can potentially be upgraded for high-performance computing.
For AI customers, the challenge is no longer only access to chips. Electricity, cooling, grid connections, land, and construction timelines have become just as important. That has given companies such as IREN a chance to market their infrastructure to AI developers, cloud platforms, and machine learning firms that require large amounts of computing power over long periods.
The $2.8 billion deal is expected to support IREN’s cloud revenue over several years. While the company did not frame the contract as a one-time boost, the higher annual recurring revenue target suggests that management expects the agreement to contribute meaningfully to future results.
Revenue target moves above $4 billion
IREN’s updated 2026 target is one of the most important details in the announcement. By lifting its annual recurring revenue target from $3.7 billion to above $4 billion, the company is telling the market that signed and expected contracts are growing faster than previously guided.
The company’s statement that around 85% of the new target is already backed by signed agreements is also significant. In the AI infrastructure market, future revenue projections can depend heavily on whether customers actually commit to long-term capacity. Signed agreements provide more visibility than general demand forecasts, although execution risk remains.
For traders, the key question is whether IREN can deliver the required computing capacity on schedule and within budget. Large AI cloud contracts require more than available buildings. They require power delivery, specialized server racks, liquid or advanced air-cooling systems, networking infrastructure, backup equipment, and reliable operations.
The company’s ability to convert contracted demand into operating revenue will depend on supply chains, construction speed, equipment availability, and energy access. Any delay in those areas could affect the timing of revenue recognition, even if demand remains strong.
Microsoft deal adds scale to AI backlog
IREN’s earlier $9.7 billion agreement with Microsoft remains central to the company’s AI growth story. That deal, signed in November 2025, gave IREN one of the largest disclosed contract backlogs among companies shifting from digital asset infrastructure into artificial intelligence cloud services.
With the new $2.8 billion contract added to the Microsoft agreement, IREN’s AI-related contracted business now stands above $12 billion. That figure has become a key part of the company’s market narrative, especially as traders look for companies with real revenue commitments rather than only exposure to AI themes.
The Microsoft agreement also gave IREN credibility in a market where major technology customers are highly selective about infrastructure partners. Large AI customers generally require strong uptime, predictable delivery, security standards, and the ability to scale over time.
The latest customer group, which includes Perplexity, Figure AI, Together AI, and Fluidstack, shows that demand is coming not only from the largest established technology firms but also from fast-growing AI companies and cloud service providers.
Perplexity is known for its AI-powered search and answer engine. Figure AI is focused on humanoid robotics. Together AI provides infrastructure and tools for open-source and enterprise AI models. Fluidstack operates in high-performance cloud computing. Their presence in IREN’s customer list highlights the range of companies competing for compute capacity.
From Bitcoin mining to AI infrastructure
IREN was once best known for Bitcoin mining, a business model built around using large amounts of electricity to run specialized machines that secure the Bitcoin network and earn block rewards. That model can be highly sensitive to Bitcoin prices, mining difficulty, energy costs, and equipment efficiency.
AI cloud services offer a different business profile. Instead of earning revenue from digital token production, companies provide compute capacity to customers under contracts. These arrangements can produce more predictable revenue if customers commit to multi-year agreements and if infrastructure is delivered as planned.
The shift also reflects a broader change across the data center and high-power computing industry. Electricity and land have become among the most valuable assets in the technology sector. Companies that secured low-cost power and large sites for mining are now finding that the same assets may be used for AI workloads, often at higher revenue potential.
Recent industry estimates suggest that AI data center services can generate far more revenue per unit of electricity than traditional digital token mining. Some reports have estimated that AI workloads may generate around $25 in revenue per kilowatt-hour in certain use cases, while token mining activity may produce closer to $1 for the same amount of energy. These figures can vary widely depending on chip type, contract structure, electricity price, uptime, and market conditions, but they explain why many operators are rethinking how to use their power capacity.
This difference in revenue potential is one reason the market is paying close attention to companies that can convert mining facilities into AI-ready data centers. The transition, however, is not simple.
Retrofitting old facilities can be expensive
A Bitcoin mining site and an AI cloud data center are not the same type of facility. Mining operations are designed for specialized machines that perform cryptographic hashing. AI systems require dense clusters of graphics processing units or other accelerators that must communicate with each other at extremely high speeds.
That difference changes the physical requirements of the facility. AI data centers often need more advanced cooling, stronger networking, higher-grade electrical systems, improved building design, and more complex monitoring. In many cases, liquid cooling or other specialized systems may be needed to handle heat generated by dense AI hardware.
Older mining facilities may face steep retrofitting costs if they try to win AI cloud contracts without enough capital. Operators also need technical teams that understand enterprise cloud customers, service-level agreements, cybersecurity, and large-scale GPU operations.
For IREN, execution will depend on whether its facilities can be upgraded or built out fast enough to meet contracted demand. The company’s growth plans are tied not only to sales agreements but also to capital expenditure planning and construction delivery.
Power capacity becomes the central issue
The biggest constraint may be electricity. IREN co-chief executive Daniel Roberts has said the company aims to deliver 480 megawatts of active cloud power before the end of the current year. The company has also set a goal of reaching 1.2 gigawatts of total running capacity by the start of 2027.
Those targets are aggressive and show how quickly demand for AI computing is growing. They also highlight the pressure that AI infrastructure is placing on power grids. Across the technology sector, companies are competing for large-scale electricity connections, often in regions where grid capacity cannot be added quickly.
For data center operators, power availability can determine how fast revenue grows. A company may have customer demand and access to hardware, but without enough electricity it cannot bring large clusters online. Grid interconnection timelines, power purchase agreements, substation construction, and local regulatory approvals can all affect delivery.
This is why traders are increasingly tracking corporate energy announcements, not only earnings releases or stock price charts. New power agreements, equipment orders, grid approvals, and site expansions can provide early signals about where physical computing capacity is moving.
Impact on digital asset networks
The shift of infrastructure from mining toward AI could also affect digital asset networks, especially Bitcoin. If a meaningful amount of computing hardware or power capacity leaves mining operations, the active hash rate on proof-of-work networks could change.
Bitcoin’s mining difficulty adjusts approximately every two weeks based on the amount of computing power securing the network. If machines are turned off or power is redirected toward other uses, the network may eventually adjust difficulty lower. If new mining machines come online elsewhere, difficulty may continue to rise.
Market participants are watching whether the AI pivot by large infrastructure companies leads to a noticeable reduction in active mining capacity. Any sudden drop in machines connected to the network could influence upcoming difficulty adjustments, including those expected in early August.
Still, the relationship is not automatic. Some facilities can run both mining and AI operations, while others may sell older mining equipment or move machines to lower-cost regions. In addition, global mining activity is spread across many operators and countries, which can reduce the effect of any single company’s strategy shift.
Competition for AI cloud contracts is intensifying
Publicly listed infrastructure operators are competing for a large pool of new computing contracts, with industry estimates placing potential demand above $70 billion. The prize is substantial because AI companies need large amounts of capacity and often want long-term commitments to support model training, inference, robotics, search, and enterprise services.
Some market analysts expect alternative data services, including AI cloud computing, to become a dominant share of revenue for several companies that previously relied on digital asset mining. In some cases, AI and high-performance computing services could account for as much as 70% of total company earnings by the end of the year, depending on how quickly contracts are activated.
The opportunity has attracted a wide range of competitors. Traditional data center firms, cloud providers, former mining companies, private infrastructure funds, and energy-backed developers are all trying to secure customers. This competition could benefit AI companies seeking capacity, but it may also raise costs for power, land, construction, and specialized labor.
For IREN, the advantage lies in having existing infrastructure and large-scale power experience. The challenge is proving that it can operate at the reliability level expected by AI cloud customers.
Execution remains the main test
IREN’s latest announcement gives the company a larger AI contract base and a higher recurring revenue target, but the next phase will depend on delivery. The market will be watching how quickly the company converts contracts into active revenue, how much capital must be spent to support that growth, and whether power availability can keep pace with customer orders.
The stock’s sharp move shows strong enthusiasm around the AI infrastructure theme, but traders are likely to continue examining the details behind the headline numbers. Important signals will include construction updates, equipment deployment schedules, financing plans, operating margins, and customer concentration.
The company’s pivot also reflects a larger reality in modern technology markets: physical infrastructure now matters as much as software innovation. AI models need data centers, electricity, cooling, chips, and network connections. Companies that control those assets are becoming central players in the next stage of the technology cycle.
IREN’s new contract does not remove the risks tied to execution, energy supply, and capital spending. But it does strengthen the company’s position in the fast-growing AI cloud market and shows how quickly the economics of high-power computing are changing. For a company that built its early identity around Bitcoin mining, the latest deal signals a much broader future built around artificial intelligence infrastructure.
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