AI arms, data-center backlash, and EU chip policy: who’s winning the next tech power war?

A cluster of reports highlights how AI is moving from software experimentation into strategic infrastructure, military targeting, and industrial policy. On May 29, a Reuters-linked item says the law firm Kirkland will spend $500 million to develop its own AI platform, signaling a push toward proprietary legal-tech and faster dealmaking workflows. Separately, the SCMP reports that the United States is reportedly fielding large AI models to automate satellite imagery analysis and targeting decisions in the Iran war, though the system’s operation is described as tightly classified. In parallel, ABC Australia frames a backlash against AI-enabling data centers in London, noting that in the US alone projects worth $200 billion were delayed or canceled after community protests. Geopolitically, the common thread is control: who owns the models, the data pipelines, and the compute needed to scale AI. The US-linked satellite targeting automation narrative raises escalation and accountability risks, because delegating parts of the targeting loop to AI can complicate compliance with international humanitarian law and increase the chance of miscalculation. China’s unveiling of an AI system for automating satellite targeting and surveillance adds a competitive dimension, suggesting a broader race to operationalize space-enabled ISR and decision support. Meanwhile, the London data-center fight illustrates that “AI capacity” is not only a technical contest but also a political one, where local consent, planning rules, and energy constraints can slow national strategies. Market and economic implications span legal services, semiconductors, power and infrastructure, and carbon policy. The EU’s reported plan to promote chip purchases from European start-ups points to industrial-policy demand shaping, potentially benefiting European fabless firms, design houses, and equipment-adjacent suppliers while intensifying competition for EU procurement budgets. The Handelsblatt item on EU emissions trading reform tied to an investment obligation suggests that carbon pricing and compliance costs could be re-allocated toward capital spending, affecting heavy industry, utilities, and energy-intensive manufacturing. In financial markets, these developments typically translate into higher sensitivity for AI infrastructure supply chains (data-center REITs, power equipment, and networking) and for semiconductor-related equities, while also increasing volatility around permitting and grid-connection timelines. What to watch next is whether these moves translate into procurement, deployment, and regulatory outcomes rather than announcements. For military AI, key indicators include confirmed operational use, any public attribution of targeting outcomes, and signals from oversight bodies about governance or constraints on automated targeting. For the compute race, the London data-center planning pipeline—appeals, grid-connection approvals, and local government decisions—will determine whether capacity expansions accelerate or stall. For industrial policy, investors should track EU Commission implementation details for chip procurement incentives and the final design of the emissions trading reform, including how investment obligations are measured and enforced. The escalation-deescalation trigger is twofold: tighter AI governance after battlefield use, and faster or slower AI infrastructure buildout depending on community and energy constraints.

Geopolitical Implications

• 01

  A US–China competition is emerging around operationalizing space-enabled AI for ISR and targeting, potentially accelerating an AI arms-race dynamic.

• 02

  Delegating targeting decisions to AI could increase the risk of miscalculation and complicate compliance with international humanitarian law, affecting diplomatic and legal accountability.

• 03

  Local opposition to data centers indicates that domestic politics and energy infrastructure can constrain national AI strategies, creating uneven competitiveness across countries.

• 04

  EU industrial-policy procurement and emissions-market redesign may reallocate investment toward favored supply chains, intensifying intra-European competition and trade frictions with non-EU suppliers.

Key Signals

• —Any confirmation of operational deployment details or oversight guidance for AI-assisted targeting in the Iran war context.
• —London data-center planning outcomes: approvals, appeals, and grid-connection timelines for major sites.
• —EU Commission implementation specifics for chip procurement incentives and eligibility criteria for European start-ups.
• —Final parameters of EU ETS reform: investment obligation metrics, enforcement, and sector exemptions.