The coming years will test something we have long taken for granted: the idea that protecting individual rights automatically benefits society as a whole.
AI is proving that it is not that simple. Every new rule regarding data or content may, on paper, protect individual autonomy. In practice, however, it often limits how far collective gains can advance. Regulations designed to protect individuals can inadvertently protect inequality by barring technologies that could expand opportunities for the entire community.
A Case in Point: Imagine if every dataset used to train educational AI required explicit, individual consent from every student and teacher. Faced with this legal burden, public systems would simply stop using the data. As a result, schools would lose access to adaptive learning tools capable of significantly improving literacy rates.
The Balancing Act: Growth vs. Rights
The true challenge lies in finding an equilibrium between progress and protection. When regulation becomes too rigid, we end up protecting people from progress itself. While our economic policies are driven by efficiency, our regulations are often driven by fear.
The European Union is currently struggling to recalibrate norms created in the 2010s, which continue to influence regulatory approaches in Brazil and beyond via the so-called “Brussels Effect.”
We must recognize that AI innovations are not regulatory ends in themselves, but means to promote collective gains and strengthen autonomy. While macroeconomic perspectives are vital for understanding aggregate effects, they do not negate individual rights; rather, they provide a complementary lens to reveal how regulatory choices affect society as a whole.
2026 Research Frontier
In 2026, Reglab is launching flagship studies that bring this socioeconomic perspective to the forefront of the debate:
1. AI and the Impacts of Personalization
An econometric study demonstrating the impact of data-driven personalization on Brazil’s GDP. It highlights how restrictive regulations—or overly rigid legal interpretations—can bottleneck economic gains.
2. AI and Industry
Combining focus groups and secondary data research, this study reveals how the manufacturing sector (which represents roughly 1/4 of Brazil’s GDP) is critically evaluating the legislative debate on AI regulation.
3. AI and the Brazilian States
A practical, case-oriented playbook examining how state governments can act as “governance laboratories.” It explores the creation of innovation clusters and public-private partnerships that drive regional development through balanced AI policy.
