How Trump Can Make AI Great for America
The U.S. is at a crucial juncture in the global artificial intelligence (AI) race, and the incoming Trump administration has a unique opportunity to strategically shape America’s AI trajectory. As competition intensifies, it becomes imperative for Washington to not only drive tech innovation but also address the growing threat of cyberattacks, especially within the financial sector. The measures taken today will significantly influence long-term American technological leadership.
The Need for a Cohesive AI Strategy
One of the initial steps towards this mission is the administration’s appointment of venture capitalist David Sacks as America’s “crypto and AI czar.” This role is critical for establishing a cohesive national framework that promotes AI innovation while effectively navigating the complex regulatory landscape. A dedicated leadership in AI policy is essential to their advancement, particularly in the financial domain, which is facing an intricate web of regulatory challenges.
The Regulatory Labyrinth of Financial AI
The financial sector is mired in a regulatory labyrinth, governed by seven federal agencies including the Federal Reserve and the SEC. These agencies impose overlapping mandates, further compounded by rules from the Treasury Department’s Financial Crimes Enforcement Network (FinCEN) and the Office of Foreign Assets Control (OFAC), as well as state-specific regulations and international frameworks like Europe’s MiFID II. With 15 distinct regulatory regimes impacting AI implementation in finance, financial institutions find themselves in a compliance nightmare.
Untangling these regulations is vital for the sector’s global competitiveness. Currently, the “black box” nature of advanced AI systems raises additional regulatory concerns. The concept of “explainability”—which refers to clarifying the behavior of machine-learning models—poses a significant challenge. Financial applications that manage vast amounts of data may prioritize the effectiveness of generative AI over simplistic, more understandable models. The challenge lies not in restricting AI’s potential, but in developing robust methods for interpreting its outcomes.
The Promise of AI in Financial Markets
AI has the potential to significantly enhance capital markets, leading to improved price discovery and increased liquidity. By enabling more informed decision-making and quicker market responses, AI fosters greater financial innovation. With the right advancements in interpretative techniques, financial institutions can harness these technologies to improve both efficiency and accuracy in forecasting.
The implications extend even further to core government functions, where AI can bolster operations and analytics in regulatory bodies. Generative AI can enhance the Federal Reserve’s ability to forecast economic trends, thereby backing data-driven policy decisions. Such innovations are vital for other agencies as well, helping them better manage risk and streamline compliance processes—critical weaknesses highlighted in recent reports regarding the Federal Deposit Insurance Corporation’s (FDIC) readiness to handle regional banks.
Advancements in Data Governance
A strong AI policy framework must also consider emerging solutions for data protection. Technologies such as blockchain offer innovative approaches to enhance data security and identity verification. Under Sacks’ leadership, the administration can foster a unified strategy that encompasses both AI and cryptocurrency, ensuring thorough regulation across both fields.
Cybersecurity: An Urgent Imperative
Alongside the urgency of developing AI policy, cybersecurity remains a pressing concern. The financial sector is increasingly susceptible to cyberattacks, particularly those powered by sophisticated AI technologies. Reports indicate a staggering rise in ransomware incidents against financial institutions, with 65% of these entities reporting such attacks in 2024. Therefore, it’s essential for the U.S. to bolster its cyber-offensive capabilities, prioritizing national security via coordinated regulations across various agencies, while also directing substantial resources towards technological advancement.
Attracting Talent in AI
America’s leadership in AI will heavily depend on its ability to attract top technical talent, particularly in the financial sector, where AI is reshaping investment strategies and risk management practices. However, the challenge transcends creating regulations; there is a crucial need for experts who understand both the technical and policy-driven aspects of AI. The European Union has faced significant hurdles in staffing its new AI Office, underscoring the necessity for robust investments in education and the nurturing of an ecosystem that cultivates AI talent.
Conclusion: A Balanced Approach to Innovation
Rather than rushing into regulations that may throttle the sector’s growth, the Trump administration should focus on leading a wave of innovation. Establishing clearly defined guidelines for financial institutions while encouraging breakthrough developments will cultivate an environment conducive to growth.
As the world navigates the evolving landscape of technology and security threats, it is crucial to find a dynamic balance that propels AI innovation while managing risks effectively. This approach will empower the U.S. to leverage transformative technologies and maintain its competitive edge in the global economy.
Sarah Hammer, the executive director at the Wharton School and adjunct professor at the University of Pennsylvania’s Carey Law School, emphasizes these points based on insights drawn from her experiences as a former federal and state government official. Understanding the nuances of AI’s regulatory challenges will play an essential role in steering the financial sector towards a more innovative future.