Earlier this month, President Donald Trump created the Super Intelligence Force to steer U.S. AI policy, casting the technology as a strategic contest rather than merely a commercial breakthrough. The task force’s first White House meeting on Thursday built on a voluntary accord with technology leaders and launched work on risk studies, workforce impacts and AI-focused committees.¹

The urgency sharpened days later with the case involving Abdulrahman Alfozan, a Saudi national and OpenAI software engineer accused of concealing a recording device in an office used for confidential meetings. Federal prosecutors charged him with alleged interception of oral communications, not espionage, but the case became a potent symbol for officials worried about access to sensitive AI discussions.²

On Friday, Director of National Intelligence Jay Clayton argued that the threat is broader than one alleged incident. “Espionage, both commercial espionage, and I would say state-sponsored espionage, are realities,” he said, warning that private companies and the government alike “need to be wary of.”²

Clayton’s position is blunt: AI does not create every security danger, but it accelerates the ones already embedded in America’s digital backbone—from utilities and communications to national defense. “We’re focused on hardening those systems,” he said, while maintaining U.S. leadership against competitors including China, Russia, Iran and North Korea.¹

That framing leaves little room for a pause. While some industry figures have called for slower deployment and stronger oversight after AI-related breaches, Clayton’s emphasis is on resilience and speed: secure the infrastructure, police misuse, and do not surrender the technological edge. In Washington’s telling, the AI race is no longer just about building smarter machines; it is about preventing rivals from getting inside the room where they are built.