In recent months, artificial intelligence has taken a leap that few expected so quickly: the so-called autonomous agents, programs capable of planning, executing, and correcting tasks without constant human supervision, are no longer just a lab promise. From inventory management in warehouses to preparing financial reports, these tools are transforming how companies work and, in passing, redefining the global labor market.
According to estimates by consultancy McKinsey, automation could displace up to 800 million jobs by 2030, but it would also create 97 million new roles, many linked to the development and supervision of these systems.
What are autonomous agents really?
Unlike virtual assistants that answer questions, an autonomous agent can break down a complex goal into steps, use tools like browsers, databases, or design programs, and adjust its strategy if something fails. For example, a purchasing agent can compare prices, negotiate with suppliers, and place orders without a human intervening at every click. This ability to act independently is what has set off alarms and also raised expectations.
Limited autonomy, human oversight
Today, most agents operate with limits defined by programmers and users. Still, their ability to learn from each interaction makes them increasingly efficient tools, and also harder to control.
Companies already using autonomous agents
Major tech companies like Microsoft, Google, and OpenAI have launched platforms that allow any business to create its own agents. But the phenomenon goes beyond Silicon Valley. Banks like JPMorgan or BBVA use agents to detect fraud and analyze risks; hospitals in Europe use them to manage appointments and triage; and logistics companies like DHL or Maersk use them to optimize routes and predict delays.
A report by the International Labour Organization (ILO) estimates that, by 2026, 40% of large companies will have incorporated at least one autonomous agent into their core operations.
Impact on employment: threat or opportunity?
Concern about job loss is not new, but autonomous agents accelerate the debate. Repetitive and predictable tasks, such as data entry or basic customer service, are the most vulnerable. However, experts insist that the history of technology shows time and again that automation creates more jobs than it eliminates, although not always in the same sectors or for the same people.
The regulatory challenge: who is responsible if an agent makes a mistake?
One of the big unanswered questions is legal liability. If an autonomous agent makes an error that causes economic harm, who is responsible: the developer, the user, or the machine itself? The European Union is moving forward with its Artificial Intelligence Act, which classifies systems according to risk, but the speed of technology outstrips legislative capacity.
Regulation on hold
While the EU debates, the United States and China prefer a more lenient approach to avoid stifling innovation. This divergence could create different standards and trade conflicts.
What does this mean for the ordinary citizen?
For most people, autonomous agents will arrive without them noticing: in the chatbot that resolves a complaint, in the system that recommends a movie, or in the one that manages a city's traffic. But their presence will change how we work, what we study, and how we relate to technology. The key will be in education and adaptation, not panic.
In 2026, the world is at a turning point. Autonomous agents are not science fiction but a daily reality that poses opportunities and challenges. How governments, companies, and citizens respond will determine whether this new era becomes a source of progress or a source of inequality.