The Evolving Role of AI

Artificial Intelligence (AI) has undergone a remarkable transformation in just a few years. What was once perceived as a novel toy—a chatbot that generated coherent sentences in response to user queries—has now become an extraordinary tool capable of performing tasks that many thought were far beyond reach. This shift has significant implications for research, entrepreneurship, and the workforce.

A Game-Changer for Research

For instance, I have leveraged AI to discover online datasets, manipulate them, conduct statistical analyses, and generate polished tables and charts. This process often includes insightful commentary regarding the results, their relationship to existing academic literature, and an assessment of the analysis’s strengths and weaknesses. Miraculously, what would typically require several days of work from a research assistant can be accomplished by AI in less than half an hour.

At times, the capabilities of current AI models seem almost mind-reading. Unlike traditional programming, there’s no need for ultra-specific requests, minimizing the chances of misinterpretation. The model often intuits the user’s needs and fills in gaps with relevant information (although caution is advised, as illustrated by instances where AI-generated legal briefs contained fictional citations). Moreover, the interface often guides users to clarify their queries further.

A Tool for Empowerment

This transformation offers hope that AI can enhance our productivity and effectiveness. Personally, it has certainly increased my efficiency in research. For entrepreneurs, it reduces costs by providing accessible marketing and consulting services. Additionally, it enables junior customer service representatives to leverage the expertise of more seasoned staff, empowering gig workers and craftsmen to offer more complex and technical services.

Unlike many previous technologies, AI has the potential to assist those with fewer skills and lower levels of education, particularly individuals in entry-level positions. By enhancing our capabilities, AI aims to provide meaningful advantages to those who may have fewer resources. In contrast to automation—which traditionally seeks to replace workers—AI can augment human potential.

The Challenges Ahead

However, there are legitimate concerns about AI’s broader implications. At present, I assert control over selecting and framing my research questions, a source of competitive edge. Yet, I can foresee a time when I’ll feel tempted to allow AI to generate these questions. The AI tools I utilize already prompt me towards this direction, suggesting additional avenues for exploration based on previous analyses.

Moreover, AI subtly influences my understanding of existing research. Not only does it summarize available literature, but it also elucidates how related research connects to my work, revealing insights I hadn’t previously recognized.

The Risk of Cognitive Offloading

This poses a greater danger than mere job displacement; it threatens the very nature of human thought. When we let AI do our thinking, we risk diminishing our collective cognitive abilities. Our motivation to engage in critical thinking diminishes, and the line between applying thought and thought itself blurs easily. This concern is echoed in a recent paper by Daron Acemoglu, Dingwen Kong, and Asuman Ozdaglar from MIT, which addresses the hazards of cognitive offloading. They explore what occurs when AI excels in providing context-specific knowledge that aids individuals in task execution, potentially leading to outcomes that require less personal learning.

While individual learning contributes to the broader pool of knowledge, reduced investment in personal learning could ultimately deplete that collective wisdom. In a pessimistic scenario, fundamental knowledge could vanish entirely. Presently, this remains a theoretical outlook; nonetheless, the risk is tangible. By allowing AI to shoulder our learning and thinking burdens, we jeopardize our abilities and the foundational knowledge essential for AI itself.

Seeking Solutions

To address these pressing issues, we must cultivate social and professional norms regarding AI usage. Researchers might be required to disclose their interactions with AI, a process that could also be automated by AI tools. Additionally, publication and promotion should emphasize human-driven outcomes. Organizations like the Partnership on AI could play a vital role in formulating and promoting overarching principles, alongside necessary governmental regulations.

Ultimately, a new perspective on AI is essential. We need to shift public discourse away from concerns about AI’s potential threats to a conversation about what we envision AI accomplishing for us. As AI continues to evolve, it is crucial that we harness its capabilities responsibly to enhance the human experience.

Dani Rodrik is a professor of international political economy at the Harvard Kennedy School, a former president of the International Economic Association, and the author of “Shared Prosperity in a Fractured World: A New Economics for the Middle Class, the Global Poor, and Our Climate” (Princeton University Press, 2025). This article was distributed by Project Syndicate.