Semafor World Economy Summit 2026• Apr 29, 2026• 19:56ConferencePanel

Booz Allen Hamilton CEO Horacio Rozanski & Aon CEO Greg Case at Semafor World Economy

From Semafor World Economy Summit 2026 · 2026

Christine(Moderator)•Horacio Rozanski(Panelist, Booz Allen Hamilton)•Greg Case(Panelist, Aon plc)

Executive Summary

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.

Key Themes

The US-China AI Competition

The discussion frames the development of AI as a geopolitical race between the U.S. and China. While the U.S. currently leads in advanced model development and semiconductor technology, China is strategically focused on creating cheaper, more cost-effective models that could drive faster global adoption.

The outcome of this competition will shape global technological standards, economic leadership, and the balance of military power for decades to come. Losing this race could be catastrophic for U.S. interests.

AI's Dual Nature: Risk vs. Opportunity

AI is presented as a technology with immense potential for positive transformation in business and national security, but also as a significant force multiplier for threats. The conversation highlights the immediate and growing danger of AI-powered cyberattacks, which are developing faster than defensive measures.

This duality requires a balanced approach from leaders, who must simultaneously invest in AI opportunities while building robust defenses and risk management frameworks to mitigate the inevitable downsides.

The Primacy of Talent Strategy

Both speakers assert that the ultimate key to success in the AI era is not technology alone, but a superior workforce. They advocate for a radical shift towards continuous, skills-based training and retraining, moving away from traditional, slow-moving educational models that cannot keep up with the pace of change.

Companies that fail to build an agile talent strategy focused on constant upskilling will be left behind. Human capital, not physical or technological assets, is the most durable competitive advantage.

Unprecedented Infrastructure Build-Out and Systemic Risk

The AI revolution is driving a historic, multi-trillion-dollar investment in physical infrastructure, primarily data centers. This build-out is happening at a scale and pace never seen before, creating a complex ecosystem of risks related to construction, energy, water, and operations that must be managed holistically.

The stability of the future AI-powered economy depends on the resilience of this new infrastructure. A failure to properly assess and manage these integrated risks could lead to massive financial losses and operational disruptions.

The Asymmetry of AI-Powered Cyber Warfare

In the cybersecurity domain, AI gives attackers a distinct advantage. Malicious actors can deploy new, unproven AI attack tools without concern for collateral damage, while defenders must be cautious and thorough. This dynamic, combined with AI's ability to compromise networks in minutes, creates a severe imbalance.

Traditional cybersecurity timelines and patching standards (e.g., CISA's two-week window) are obsolete. Organizations must invest in AI-driven, automated defense systems to counter threats that operate at machine speed.

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Topics

Artificial Intelligence Cybersecurity Geopolitics US-China Relations National Security Risk Management Talent Strategy Workforce Development Data Centers Semiconductors AI Models Booz Allen Hamilton Aon Technological Competition Corporate Strategy

Processed May 10, 2026 yt-dlp + mlx-whisper + Gemini

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