War strains AI funding pipelines globally

Escalating conflict involving Iran is beginning to cast a shadow over the global artificial intelligence race, raising concerns that geopolitical instability could fracture funding networks, disrupt supply chains and alter the trajectory of one of the world’s fastest-growing industries.

Capital flows from Gulf sovereign wealth funds have become a critical pillar supporting the expansion of advanced computing infrastructure in the United States and allied economies. These funds, backed by energy revenues, have channelled tens of billions of dollars into data centres, semiconductor ventures and AI start-ups, positioning the region as a central financier in the competition to dominate next-generation technologies. The unfolding tensions, however, threaten to complicate that relationship at a time when demand for capital-intensive AI development is accelerating.

Analysts say the risk is not confined to direct investment disruptions. Heightened instability in West Asia raises the prospect of volatility in energy markets, currency pressures and shifts in fiscal priorities among oil-exporting states. Governments that have been aggressively diversifying into technology could face competing demands on public finances, particularly if oil infrastructure or shipping routes come under strain.

The Strait of Hormuz remains a focal point of concern. Any sustained disruption to maritime flows through the narrow passage could trigger sharp movements in crude prices, with knock-on effects for global inflation and capital allocation. Higher energy costs would likely feed into the operating expenses of data centres, which are already energy-intensive and heavily reliant on stable power supplies. Industry executives have warned that electricity costs represent one of the largest constraints on scaling AI systems, and prolonged price spikes could slow expansion plans.

At the same time, geopolitical fragmentation risks reshaping the global map of AI investment. Gulf-based funds have pursued partnerships with major US technology firms, taking stakes in chipmakers, cloud providers and research ventures. These relationships have been viewed as mutually beneficial, combining capital from hydrocarbon economies with technological expertise from Silicon Valley. A prolonged conflict could force a recalibration, particularly if political pressures in Washington lead to tighter scrutiny of foreign capital linked to strategically sensitive sectors.

Some policymakers have already expressed concerns about national security implications of overseas investment in AI infrastructure. The conflict could strengthen arguments for stricter controls, potentially limiting cross-border capital flows and accelerating a trend towards technological decoupling. This would mark a shift from the relatively open investment environment that has characterised the early phase of the AI boom.

Meanwhile, Gulf states themselves are pursuing ambitious domestic AI strategies, seeking to reduce reliance on oil by building knowledge-based economies. Initiatives in countries such as Saudi Arabia and the United Arab Emirates include large-scale investments in research institutes, talent development and digital infrastructure. These programmes rely not only on financial resources but also on international partnerships, access to advanced chips and integration into global supply chains.

Disruptions to those linkages could slow progress. Export controls on advanced semiconductors, already a feature of US policy towards certain countries, could become more restrictive in a heightened security environment. Supply chain bottlenecks, particularly in high-performance chips and specialised equipment, would further complicate efforts to scale AI capabilities across multiple regions.

Market participants are also watching the behaviour of investors who have leveraged positions in technology assets. Some of the rapid expansion in AI valuations has been fuelled by borrowed capital, amplifying gains but also increasing vulnerability to shocks. In periods of geopolitical stress, margin calls and liquidity pressures can trigger forced selling, contributing to volatility across asset classes linked to the AI ecosystem.

Industry leaders have begun to acknowledge the dual nature of the challenge. On one hand, strategic competition between major powers is driving unprecedented levels of investment in AI, as governments seek to secure technological leadership. On the other, the same geopolitical tensions are introducing risks that could fragment markets, raise costs and complicate collaboration.

There are indications that some firms are already adjusting their strategies. Diversification of funding sources, localisation of data infrastructure and contingency planning for supply disruptions are becoming more prominent in corporate decision-making. Companies are also exploring alternative energy arrangements, including long-term power purchase agreements and investments in renewable generation, to mitigate exposure to fuel price volatility.