In an Amazon warehouse on the outskirts of Munich, robots no longer just move shelves: they now sort packages, fold boxes and even detect damaged products with a precision that surpasses the human hand. 9,000 kilometers away, in a textile plant in Bangladesh, automated sewing machines work 24 hours without a break, reducing costs but also the number of operators needed. The silent automation sweeping the world in 2026 is not a future phenomenon: it is the present that is redefining employment in every corner of the planet.
According to estimates by the International Labour Organization, nearly 60% of jobs in developing countries could be affected by automation in the next decade.
What exactly is changing?
Automation is not new, but its scope is. For decades, industrial robots were limited to repetitive tasks on assembly lines. Today, thanks to artificial intelligence and advanced robotics, they can perform jobs that require adaptation, visual recognition and even a certain form of decision-making. Logistics warehouses, call centers, fast-food restaurants and even hospitals are incorporating automated systems that once seemed like science fiction.
The productivity dilemma
Automation increases productivity and reduces costs, but it also eliminates jobs. The key is whether the new jobs it creates compensate for those it destroys. So far, the evidence is mixed: in sectors such as logistics, demand for maintenance and robot supervision workers has grown, but not at the same pace as the loss of operational jobs.
The hardest-hit sectors
Retail, light manufacturing and customer service are the most exposed. In the United States, large supermarket chains have installed self-checkout kiosks and automated inventory systems, reducing the number of cashiers and stockers. In Japan, sushi restaurants use robots to prepare basic dishes, while in Europe, call centers employ virtual assistants that handle queries without human intervention. These changes not only affect low-skilled workers: they also reach professionals such as accountants, data analysts and even lawyers, whose routine tasks can be performed by software.
The government response
Faced with this transformation, governments are trying different strategies. Germany has bet on dual training, combining technical education with work experience to retrain displaced workers. France approved an automation tax in 2025, taxing companies that replace employees with robots and funding reinsertion programs. In Latin America, countries like Chile and Uruguay have launched digital literacy plans, although results are still modest. Meanwhile, the European Union is debating a regulatory framework to guarantee a universal basic income in case of mass unemployment.
And artificial intelligence?
Artificial intelligence is the engine of this new wave. Machine learning systems allow robots to adapt to changing environments, recognize objects and make decisions in real time. However, the relationship between AI and employment is complex. On the one hand, AI creates new professions: data engineers, algorithmic ethics specialists, human-robot interface designers. On the other, it accelerates the obsolescence of entire trades. The debate is not whether AI will destroy jobs, but how to manage the transition so that it does not leave millions of people behind.
What is at stake for the world
Automation is not an isolated phenomenon: it is intertwined with global inequality, labor migration and the sustainability of welfare systems. If robots replace workers in rich countries, remittances that migrants send to their home countries could shrink. If, instead, automation spreads to developing countries, it could halt the industrialization that many have used to escape poverty. The future of employment is not written, but the decisions made today — in companies, in parliaments and in classrooms — will define whether automation becomes a tool for progress or a source of exclusion.
The key is not to stop technology, but to ensure that its benefits are distributed fairly. That is the real challenge of our era.