A Half-Billion Dollars Aimed at the Future of AI
Abu Dhabi-based Core42, a subsidiary of the technology conglomerate G42, has clinched a $550 million structured trade finance facility from HSBC. This is one of the largest single financing deals for AI infrastructure to come out of the region, and it sends a loud signal: the race to own global AI computing capacity is well and truly on.
The capital will fund the rapid deployment of Core42's AI cloud and high-performance compute (HPC) infrastructure across international markets, giving the company the firepower to scale fast.
At $550 million, this is not a routine corporate loan. Structured trade finance at this scale specifically for AI compute infrastructure signals that institutional banks now treat AI as critical infrastructure, on a par with energy or telecommunications.
What Core42 Actually Does
Core42 operates at the intersection of cloud computing, AI infrastructure, and sovereign technology. The company builds and runs the large-scale compute environments that power everything from large language model training to national AI programmes. Its clients include governments, enterprises, and research institutions that require reliable, high-throughput AI computing at scale.
As a G42 subsidiary, Core42 benefits from strong ties to Abu Dhabi's sovereign investment ecosystem, which has made the UAE one of the world's most aggressive investors in AI infrastructure over the past three years. Read more about the UAE's national AI strategy and how government-backed entities are shaping the sector.
The UAE has committed to becoming a top-10 AI-ready nation globally. State-backed firms like Core42 are the execution arm of that ambition, building the physical infrastructure that national AI goals require.
HSBC's Strategic Vote of Confidence
For HSBC, financing this deal is not just about revenue. It positions the bank as a key financial partner in one of the most capital-intensive emerging sectors in global tech. Structured trade finance for AI infrastructure is a relatively new product category, and banks that move early stand to capture significant long-term business.
The structure of the facility, described as "structured trade finance," suggests it is likely tied to equipment procurement, supplier payments, or cross-border technology imports rather than a simple revolving credit line. This is consistent with the kind of large-scale hardware acquisition that building out global data centres requires.
$550M raised | 1 of the largest AI-infrastructure deals in MENA history | Backed by HSBC, one of the world's top five banks by assets | Deployed across international AI cloud and compute markets
What This Means for the Region's AI Ecosystem
The deal fits neatly into a broader pattern. Over the past 18 months, the UAE has attracted billions in AI investment from Microsoft, Google, and OpenAI, all of whom have committed to building data centre capacity in the country. Core42's financing round adds domestic momentum to that international wave.
For B2B decision-makers across the Gulf, this matters in a concrete way. A better-capitalised Core42 means more available capacity, more competitive pricing, and a stronger ecosystem for companies looking to procure sovereign, regionally compliant AI compute. You can explore current cloud and AI procurement options in the UAE through the UAE's Digital Economy portal.
It also raises the bar for global competitors. Hyperscalers like AWS, Azure, and Google Cloud now face a well-funded, regionally rooted rival with government backing and institutional financing. That competitive dynamic is good for enterprise buyers.
Looking ahead
Core42 has not disclosed a specific deployment timeline for the $550 million, but given the speed at which AI infrastructure demand is growing globally, industry watchers expect the capital to be deployed over 12 to 24 months. International expansion into Europe, Asia, and Africa has been signalled in earlier company communications.
For the broader MENA tech sector, the deal is a benchmark. It demonstrates that regional AI companies can attract institutional debt financing at a scale previously only seen for energy or real estate projects. That convergence of AI and institutional capital is the story to watch in 2026 and beyond.
