Artificial intelligence (AI) strengthens strongly into the labor market, not as a threat, but as a transformation engine. Figures and perceptions coincide: what is coming is not a massive unemployment, but a reconfiguration of work as we know it.
For years, the dominant discourse on AI has been marked by fear: automation, dismissals, uncertainty. However, the data start drawing a very different scenario. According to the World Economic Forum (WEF), AI could generate up to 170 million new jobs by 2030, which invites you to look at the future with other eyes. It is not about fighting machines, but about learning to live and collaborate with them.
In this new framework, organizational efficiency no longer passes by reducing costs, but for increasing the added value of human work. Technology thus becomes a strategic ally to free routine tasks and allow them to focus on those that require creativity, critical judgment and empathy.
New competitions for new roles
The impact of automation will not be uniform. According to Wef’s forecasts, one in five jobs will become the next five years. Instead of disappearing, many jobs will change their nature and demand new skills.
Technical skills, such as the management of AI tools, data analysis or programming, gain prominence, but so do the so -called “Power Skills”, such as the ability to adapt, continuous learning and collaboration in digital environments.
“Thanks to artificial intelligence, structured tasks, such as the planning and management of schedules, will leave space to others of high value that will improve the quality of information, decision -making and competitiveness of organizations,” says Oscar Bermejo, CTO Spain of Protime.
A well received revolution
Far from rejecting change, many workers see it as an opportunity. A recent Protime study reveals that 86.6% of employees believe that digitalization, automation and AI will have a positive or very positive impact on their functions. A figure that surprises with its forcefulness, and that breaks with the fatalistic narrative.
Enthusiasm grows especially among professionals with university training, who see in these technologies a way of optimizing their work, reducing errors and focusing on strategic decisions. Far from feeling replaced, they feel enhanced.
Challenges ahead: Skills and Ethics
Not everything is good news. Technological acceleration also exposes an increasingly worrying skills gap. The gap between what companies need and what current workers can offer threatens to expand inequality and stop innovation.
In this context, Reskilling and Upskilling are no longer optional. Governments, companies and educational centers must collaborate to create a culture of continuous learning. “Training for what is coming” will be as important as having experience in what has already happened.
In addition, ethics must be in the center of the deployment of AI. Algorithmic transparency, data protection and human supervision are indispensable conditions to guarantee a fair and inclusive use of these tools.
