Private equity and private credit are emerging as critical financing pillars in the global AI data centre build-out, as investment in the sector is projected to reach $7tn by 2030, according to a McKinsey report cited by CNBC.

The scale of capital deployment is already visible in deal activity. Private infrastructure transactions have consistently exceeded $10bn, with the largest reaching $40bn, as a consortium including Nvidia, Microsoft, BlackRock, and Elon Musk’s xAI acquired Aligned Data Centers.

This surge in capital is increasingly being supported by private credit and structured debt, as hyperscalers look beyond traditional funding sources to finance large-scale infrastructure.

The rapid expansion is placing pressure on adjacent sectors, particularly insurance. Brokers such as Gallagher highlight that projects involving $10bn to $20bn of assets concentrated in a single location are creating capacity constraints in underwriting. Tom Harper, data centre leader at Gallagher, told CNBC that the trend is a “real stress test” for insurers, noting that such large-scale facilities challenge traditional risk distribution models.

At the same time, insurers and advisors are adapting to the opportunity. Marsh has launched a dedicated digital infrastructure advisory group and introduced its Nimbus facility, initially sized at €1bn ($1.1bn) and later expanded to offer coverage of up to $2.7bn for data centre construction in Europe.

A key structural challenge lies in the mismatch between asset lifecycles. While data centres are long-term infrastructure assets, critical components such as GPUs typically have a lifecycle of around seven years, creating what market participants describe as a “GPU debt treadmill”.

This dynamic is driving innovation in financing, including GPU-backed loans and increased use of asset-backed securitisation, as lenders seek to align risk with asset performance.

Legal advisers including Kirkland & Ellis note that the boom is also fuelling demand for specialised expertise across real estate, power, telecoms, finance, and cybersecurity, reflecting the multidisciplinary nature of these projects.

Despite emerging risks, private capital continues to scale its exposure to digital infrastructure, attracted by long-term demand driven by AI adoption and data growth.

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