Artificial Intelligence is no longer science fiction; it has become a reality that is challenging the world of work as we know it. While some are still wasting their time debating how quickly it will arrive, AI is already here, transforming entire industries and creating new ways of doing business that seemed unthinkable just a decade ago.
We are not facing an “unprecedented revolution”, but rather a technology that, like electricity or the internet, follows patterns of change. The difference is the scale and speed at which it is happening.
We are not talking about robots replacing humans as in Hollywood movies. We are facing a disruptive technology that acts as a capacity enhancer, allowing people and companies to do more with fewer resources and in less time.
The Map is Changing
Figures from the International Monetary Fund tell us that almost 40 percent of jobs worldwide will be exposed to Artificial Intelligence, and in developed economies this figure rises to 60 percent. But beware, “exposed” does not mean “doomed to disappear.” It means that the way we work will change, and that is the key.
The World Economic Forum projects a scenario that defies pessimism: although it forecasts a loss of some 92 million jobs by 2030, 170 million new ones will be created. The math is simple – AI does not destroy jobs, it reorganizes and multiplies them.
Unfortunately, this transformation will not be equal for everyone. While some routine jobs are falling by the wayside, professions are emerging that five years ago seemed like something out of a movie. There are people who are exclusively dedicated to “training” artificial intelligence to better understand what we ask of it, others who help companies implement these tools without causing chaos, and also those who ensure that algorithms do not discriminate or make unfair decisions.
The paradox is that, amid so much technology, the most human and primitive skills have never been so valuable. The ability to solve problems creatively, to lead teams in times of uncertainty, to understand a customer’s emotions, or to think strategically about the future of a business is becoming increasingly important.
And here’s something that many people don’t see: traditional trades are experiencing a kind of renaissance. The plumber who fixes a leak, the electrician who solves an installation problem, the cook who prepares a dish, the mechanic who diagnoses what’s wrong with your car. These jobs have something that AI cannot achieve at the moment, and that is that they require practical experience, intuition, and the ability to adapt to unpredictable situations that comes with years of experience.
New Opportunities
Companies that are betting on AI are not doing so just to save costs. They are using it to open up markets and create new business models.
In finance, for example, AI is applied to fraud detection, automated trading, and even personalized recommendations, as Google Cloud shows us. In retail, chains such as Zara adjust their inventory with data from social media, while Amazon perfects its recommendation engines to sell more and better. Logistics is another clear case: AI in the supply chain helps anticipate disruptions and optimize routes. And in healthcare, there are systems that analyze medical records to speed up diagnoses and recommend more effective treatments.
In all cases, it is abundantly clear that this is not simply a matter of automating tasks, but something much deeper, and undoubtedly worth investigating.
In just a few years, AI has gone from being an experiment to becoming a central player in the global economy. Some studies estimate that it could boost global GDP by up to 15 percent by 2035.
The Risks We Cannot Ignore
Like any revolution, there are positive factors and others that are not so positive. The digital divide could deepen inequalities between countries and regions. High-income countries are well positioned to leverage AI to increase productivity, while developing countries could face bottlenecks due to a lack of digital infrastructure.
It is common to hear in Latin American countries about the phenomenon of the “brain drain”, which refers to local talent exporting their knowledge to developed markets without their countries of origin receiving any benefits. This effect can be further exacerbated by Artificial Intelligence and globalization if working conditions and opportunities are not up to par.
Another factor to consider is ethical risks. But how can AI have “unethical” attitudes? This happens because its algorithms inherit biases from the data with which they were trained. There have already been cases of hiring systems favoring male candidates, or somewhat discriminatory responses from AI.
Another problem we frequently see is fake news, which is becoming increasingly easy to generate thanks to Artificial Intelligence. This content can manipulate opinions, causing confusion when it comes to making decisions. For all these reasons, the smartest companies must understand that return on investment depends on responsible and transparent implementation.
When AI Enters the Classroom
Something is happening in classrooms that is changing the rules of the game. Students are passing entire subjects without opening a book, using Chat GPT or other generative AI to do practical work or take exams. The stories are repeating themselves: students who hand in perfect work without a single grammatical error, but who are then unable to write a coherent sentence when asked to do so in class.
University professors are already returning to written exams because they are aware of the situation. In Spain, there are students who are proud of having passed their high school exams with Artificial Intelligence without studying practically anything. And an old acquaintance that seemed extinct made a strong comeback to the classrooms: the famous “take out a sheet of paper”.
But there are two sides to the story. On the one hand, these tools allow for a level of personalization in learning that we have never seen before. A student struggling with math can have a virtual tutor who explains the same concept in ten different ways until they understand it. That would be difficult to do in a classroom with 30 students.
On the other hand, there are risks that parents don’t see, algorithms that collect data from minors, biases that can influence how they see the world, and difficulty distinguishing between real information and invented content.
The key is not to ban AI in schools, but to teach how to use it for what it is: a complementary tool, not a substitute for knowledge. This requires trained teachers, involved families, and, above all, an understanding that training thinkers is still more important than training app users. Otherwise, we will encourage “cognitive sedentarism”, children who learn to ask AI for answers but do not develop the tools to think for themselves. And as we well know, in education, thinking remains irreplaceable.
What Role Do We Play In This?
Artificial Intelligence is not the end of human work, it is the beginning of a new era, and to navigate this new era successfully, the key is to see AI as a complement, not a rival. Investing in personal development, fostering human skills, and committing to continuous learning will be the best assets. For companies, the way forward is to adopt AI strategically and ethically, respecting its limits.
It is not about competing against machines, but about finding creative ways to work alongside them.
As we say in Argentina, the ball is in our court. The future of work is not something that simply happens; it is something we create together, and AI is the tool that will allow us to build it.
* Renzo Dichio is 22 years old and has a degree in Business Administration from the Austral University of Rosario. He is passionate about entrepreneurship and technology. He is currently studying for a diploma in “AI applied to business” at UCEMA.
Source: We Are Innovation
