The workforce has been in a transition phase for some time. It is difficult to determine with certainty when the artificial intelligence revolution will end, but it has undoubtedly moved beyond the stage of a mere tool and has become a worker capable of making decisions, continuously learning, and performing complex tasks autonomously. Simplify tasks that are extremely difficult for humans in just a few seconds or minutes.
Artificial intelligence agents work autonomously, accelerate production and are there to rethink the structure of teams. In this reality, Argentina has occupied a strategic role on the international technology map, with a concentration of engineering talent and creativity crucial to innovation.
“Our AI journey started in 2017, not now,” explained Pablo Cebro iProfessionaland emphasized that a solid technological foundation enabled the company to launch its first AI platform, EYQ, in just four weeks. With more than 420,000 employees worldwide (5,000 of them in Argentina), the company keeps an eye on Argentine talent due to its time zone (aligned with the US) and its technical and creative capacity. Proof of this is that in recent months, with the expansion of GDS Argentina’s services, almost 500 people have joined the company in record time.
The Agent Revolution: Artificial Intelligence in the Service of Productivity
The term “agent” is considered the dominant technological word of the near future, extending beyond the capabilities of chatbots or simple generative tools. “If 2025 is the word agent, in 2026 it will be agents,” said Pablo Cebro iProfessionalwith massive integration of these systems expected to operate, make decisions and learn without constant human intervention.
The key to change is that these agents don’t wait for orders to take each step, but initiate processes and solve complex problems. However, the challenge centers on governance and security.
“How far will the agents penetrate the system? Will they place orders? Will they pay?” the manager asked, alluding to the depth of integration. To address this complexity, EY has developed strategic alliances, such as working with Microsoft on Agent365, to determine how these agents will be controlled within the organization and what identity they should be assigned.
An example of the transformative power of these systems is their ability to perform financial analysis: “An agent can define whether he can buy shares of this or that company by defining whether or not there is a conflict of interest or incompatibility, based on all kinds of regulations. A decision that was impossible to make as a human in the time and complexity required,” explained Cebro.
The Talent Challenge and the New Work Equation
The rapid adoption of AI represents a “difficult” transition process in the labor market, especially for less experienced profiles, although the executive predicts that “in the long term, humans will emerge victorious.”
The technology sector is not escaping this reality and is already seeing a change in the dynamics of demand for skilled workers. The new paradigm requires a rethinking of certain roles – particularly the youngest ones – and he expects this trend to force large universities to rethink their programs.
In this sense, for Cebro, the traditional work equation will also change drastically: “Until not long ago we spent 80% of the time on production, 5 or 10% on the idea and 10% on review. Production with autonomous agents will take a minimal part of the time, freeing up more space to think better about the idea and review.”
According to the expert, there is still a lack of millions of developers worldwide, but the focus will shift from pure coding to creativity, complex problem solving and ethical and technical verification of agent systems.
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