G7 Leaders Meet With AI Executives to Discuss Governance and Security
G7 leaders met with executives from OpenAI, Anthropic, and DeepMind at their June 2026 summit to discuss AI governance and national security. The talks focused on how to regulate AI development without ceding ground to China, which is building a $295 billion national AI computing grid. European leaders pushed for a "trusted partners" framework to share AI capabilities among allied nations.
CANADA — G7 leaders sat down with executives from OpenAI, Anthropic, and DeepMind at their June 2026 summit to work through how governments should regulate artificial intelligence without falling behind China in the global race to build AI infrastructure.
The talks centered on two concerns: how to set safety and governance standards that apply across allied nations, and how to ensure that democratic countries maintain access to the most capable AI systems.
China is planning a $295 billion, five-year initiative to build a nationwide AI computing grid, aiming to source 80 percent of the technology domestically to reduce its exposure to U.S. export restrictions. DeepSeek, China's most valuable AI startup, secured $7.4 billion in new funding this year.
European leaders at the summit pushed for what they called a "trusted partners" framework, a system that would allow allied nations to share AI capabilities and infrastructure while keeping sensitive technology out of adversarial hands. French President Macron said he expected progress on broadening access to Anthropic's Mythos model under such a framework.
The European Union has also ordered Meta to open its WhatsApp Business API to rival AI chatbots, a move aimed at preventing any single company from controlling the infrastructure through which AI services reach consumers.
A Reuters/Ipsos poll released ahead of the summit found that 64 percent of Americans disapprove of the rapid pace of data center construction, citing concerns about energy costs and land use. The poll reflects growing public unease about the scale of AI infrastructure investment even as governments and companies accelerate their spending.
