AGI: The New Era of Artificial Intelligence

Artificial General Intelligence (AGI ) represents the idea of systems capable of performing a wide variety of cognitive tasks with human-like performance, going beyond current artificial intelligences, which are specialized in specific functions.

Unlike these AIs, AGI would have the ability to learn continuously, transfer knowledge between different domains, and act autonomously, although, in its current stage of evolution, it operates on specific tasks, predominantly in controlled environments and under human supervision.

The beginning of a new technological era.

In recent interviews, Sam Altman, CEO of OpenAI, has highlighted that the move towards AGI could mark the beginning of a new technological era, with direct impacts on the economy, work, and social organization.

The debate is no longer limited to the distant future and now involves concrete decisions that need to be made in the present.

Recent advances in AGI

Although full AGI has not yet been achieved, recent advances in language models and autonomous agents indicate consistent progress in that direction. These systems already demonstrate the ability to plan, execute complex tasks, and operate with relative independence in digital environments, approaching functions traditionally performed by humans.

Potential benefits of AGI

The potential benefits of this transformation are significant. Intelligent automation tends to increase productivity, reduce operational costs, and accelerate innovation cycles in areas such as science, technology, education, and healthcare. Furthermore, the progressive reduction in AI development and operating costs favors broader access models, such as tiered subscription plans, allowing students, independent professionals, and small businesses to utilize advanced artificial intelligence tools.

Impact on the labor market

At the same time, the impact on the labor market remains one of the main challenges. The automation of administrative, analytical, and operational tasks is expected to intensify, requiring an accelerated reconfiguration of professional roles. The risk lies not only in the replacement of activities but also in the speed of this transition, which may exceed the adaptive capacity of workers, companies, and institutions. Added to this is the possibility of concentrating economic gains among those who control infrastructure, data, and AI models.

Transformation and adaptability

In this scenario, adaptability takes on a strategic role. Governments and institutions need to invest in professional retraining, modernization of educational systems, and encouragement of continuous learning. Economic transition policies, coupled with the democratization of access to artificial intelligence itself, are fundamental to reducing inequalities and expanding the social benefits of technological advancement.

Conclusion

The advancement of AGI represents not just another technological leap, but a test of social and institutional maturity. The speed and scope of this transformation demand coordinated responses capable of aligning innovation, inclusion, and governance.

The central challenge is not to contain technological progress, but to create the conditions for it to translate into collective gains. In an increasingly AI-driven scenario, the ability to adapt will be as strategic as the technology itself.

Sources:

TEAM MAGAZINE. How Sam Altman Is Thinking About AGI and Superintelligence. 2024–2025.

FORBES. Sam Altman on Building AGI and Its Economic Impact. 2025.

ARS TECHNICA. AI Agents and the Future of Work. 2025

BUILT IN. Artificial General Intelligence and Job Market Impact. 2024–2025.

ALGORITHMWATCH. AGI, Accountability and Governance. 2024.

AXIOS. AI and the Risk of White-Collar Job Disruption. 2025.