The United States is in a high-stakes technology race with China, leading in frontier AI models and semiconductors but potentially losing on global adoption due to China's focus on cheaper, more accessible models.
AI presents a dual-use challenge: it offers transformative economic and national security opportunities but also creates significant new risks, particularly in cybersecurity, where attackers currently have an advantage.
The unprecedented, multi-trillion-dollar build-out of AI infrastructure like data centers is creating complex, integrated risks that require a new approach to risk management, spanning construction, operations, and supply chains.
Human capital is the most critical and enduring competitive advantage in the AI era; companies and nations must prioritize continuous, skills-based retraining and workforce development over traditional education models to keep pace with rapid technological change.
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Concerns Raised
AI-powered cyberattacks are outpacing defensive capabilities, shrinking compromise timelines from weeks to minutes.
China's focus on cheaper, more adoptable AI models could erode the U.S. lead in global adoption.
The traditional education system is too slow to equip the workforce with the necessary skills for the AI era.
The massive, rapid build-out of AI data centers introduces new, complex, and poorly understood systemic risks.
Opportunities Identified
AI offers a generational opportunity to transform businesses and enhance national security.
Investing in continuous, skills-based workforce retraining is the key to creating a durable competitive advantage.
There is a massive market for providing integrated risk management and capital for the AI infrastructure ecosystem.
The U.S. can leverage its strong innovation ecosystem and talented workforce to win the AI race against China.