AI, Government and the Future

Navigating Change: AI Policy, Investment, and Global Competition

Author

Corner Alliance
January 23, 2025

Welcome to our weekly dive into the exciting world of Artificial Intelligence (AI) and its impact on the U.S. Government!

AI is progressing at an incredible pace, and we're just scratching the surface. With so much information out there, it can be overwhelming to keep up.

We're here to provide you with insightful analysis and a concise summary, delivered to you on a regular basis. Stay informed, stay up-to-date, and join us on this thrilling journey into the future of AI.

Episode 38 Recap: Tony Samp on Shaping U.S. AI Policy and National Security 

Tony Samp, Principal Policy Advisor and AI Policy Head at DLA Piper, joins this episode of AI, Government, and the Future, to discuss AI policy developments in the US and their implications for national security. He offers insights into the Senate AI Caucus formation, proposed legislative actions, and intended outcomes for AI innovation and governance. Tony also examines AI’s impact on defense capabilities, ethical concerns around lethal autonomous weapons, and critical steps for effective AI governance over the next decade.

Click the links below: 

Spotlight

China's AI Strategy for 2025: Key Insights for Global Leaders

China is pursuing global AI leadership by 2030, with a rapidly growing ecosystem of over 4,500 AI companies and strong government support. The country leads in AI patents, scientific contributions, and private investment, which surged nearly fivefold in 2024. Key advantages include state-funded innovation, accessible AI infrastructure like AI-as-a-Service, and a focus on industry-specific applications in healthcare and manufacturing. Major players like Alibaba, Huawei, and Baidu are driving the sector with advanced models and scalable platforms. However, challenges persist, including U.S. semiconductor export controls, fragmented data quality, and competition for top talent. Despite these hurdles, China's proactive AI governance and vertical integration strategies offer both opportunities and challenges for global executives navigating this evolving landscape.

Read More - Forbes

The Number 

$11 Billion 

Amazon Web Services (AWS) will invest $11 billion in the state of Georgia to expand and improve AI infrastructure. The investment aims to advance cloud computing and AI technologies while creating at least 550 new high-skill jobs. 

In-Depth 

AI, Privacy, and Social Media in 2025: How the Trump Administration Will Shape Tech Law

The relationship between AI and the U.S. government is set to shift under the Trump administration, departing from the regulatory frameworks established during the Biden era. While the Biden administration emphasized safeguarding civil rights, privacy, and safety through initiatives like the AI Bill of Rights and mandated safety standards, the Trump administration is signaling a deregulatory approach focused on fostering innovation and economic competitiveness. Federal AI legislation may stall, with states likely leading on AI-related issues, such as algorithmic discrimination and deepfakes. This evolving dynamic underscores the balance the government must strike between promoting technological advancement and ensuring ethical and equitable AI development.

Competing for Data and AI Expertise in Government

AI's transformative potential for national security and prosperity—from disaster response to cybersecurity– demands a robust public sector AI workforce. Despite longstanding recognition, the federal government still lacks a formalized AI talent framework. The 2023 AI Executive Order has heightened urgency, resulting in the hiring of over 200 AI experts through programs like the U.S. Digital Service and AI Corps. However, systemic challenges persist: the lack of clear career pathways and funding models undermines retention and progress. Federal chief digital and data officers (CDAOs and CDOs) must spearhead efforts to define AI professions, build organizational coalitions, and institutionalize progress through policies and infrastructure. Creating dedicated AI roles, integrating AI into agency missions, and fostering a collaborative community are essential to maintaining U.S. leadership in the global AI race.