Major cloud operators – Amazon, Microsoft, Google and Meta – are set to invest more than $700 billion in AI infrastructure during the current year. In the United Kingdom, AI‑focused data‑centre developer Nscale has secured almost $3.7 billion to broaden its footprint, while the London‑based platform InvestConnect is targeting over $3 trillion of global capital for domestic infrastructure projects. The scale of funding is attracting attention from Canadian and U.S. investors seeking new growth corridors.
Why the rush for compute power?
A legal analysis from A&O Shearman notes a booming appetite for the compute capacity, semiconductor supply and energy‑grid upgrades needed to sustain generative‑AI workloads. Partner William Samengo‑Turner adds that defence and autonomous systems are gaining momentum as governments increase military spending, creating a dual‑track demand for both AI‑driven compute and advanced weaponry.
Power‑grid strain and regulatory response
The rapid expansion of data‑centre capacity is putting pressure on electricity networks. Within twelve months, demand for grid capacity has risen from 41 GW to 125 GW, prompting regulators to raise connection fees in an effort to manage the surge. Industry voices, such as Matt Evans of techUK, caution that fees must not discourage genuine investment that could enhance sovereign compute capacity and support re‑industrialisation.
Defence sector sees record funding
Venture‑capital rounds involving Lockheed Martin, Airbus and BAE Systems have collectively reached a record $4.1 billion this year. Merger activity in the sector increased by 56 percent in the first half of 2026, while government programmes across Europe and the United States earmark billions for drones, AI‑driven weapons and autonomous platforms.
Changing valuation metrics for software firms
The AI boom is also reshaping how software companies are valued. Buyers are moving away from pure subscription revenue models, instead prioritising firms that own proprietary data, embed AI into core products and maintain high switching costs, thereby reducing exposure to AI‑driven commoditisation.
These trends were first reported by A&O Shearman.