The AI director of 'Learning Heroes' warns: office work will undergo a radical transformation, and companies will begin to adjust their workforces in the next two years. Artificial intelligence has ceased to be an area reserved for experts and specialized events. Today, tools like ChatGPT or Grok allow users to create videos, design websites, or write reports with just a sentence. There is no longer a need to know how to program or understand technical intricacies; anyone, even a child, can use them. This accessibility, while advantageous, also generates concern, as the ease of use means that many tasks previously considered complex can now be automated. As millions of users adopt AI to streamline routine tasks, companies are starting to see it as a structural alternative. “If your job is done in front of a computer, you should be alert: office jobs are already susceptible to automation,” warns Javier Sáez, an international authority on AI, in the podcast "Tengo un plan." According to Sáez, the real revolution lies not in AI writing a better email, but in its ability to manage entire processes that previously required whole teams. The question is not whether AI will transform work, but when it will be evident to everyone. Sáez cites a Microsoft report to illustrate the phenomenon: “Between six and seven out of ten employees use Microsoft Office to create presentations, spreadsheets, emails, or participate in virtual meetings most of the time.” These coordination and documentation tasks, which have supported office employment for decades, “can now be largely automated.” This is not theory, he insists, but real and current capabilities. For the expert, what is coming is not a simple rehash of the industrial revolution, but an even more unpredictable change: “We are underestimating its scope,” he states. If the industrial revolution multiplied physical production, now the capacity to think is multiplying, which will impact both office jobs and, in a few years, physical jobs as robotics advances. When asked about timelines, Sáez points to 2027 as the year when the change will be palpable for most. “Between 2027 and 2028, we will see how companies wake up and adopt AI on a massive scale,” he asserts. Some companies will increase their workforce “artificially,” combining human employees with AI agents, while others will reduce teams upon realizing that technology is more efficient in certain functions. Sáez recalls that layoffs have already occurred in major tech companies, where the influence of AI has been openly acknowledged. This trend, he argues, will accelerate as AI becomes more accessible, efficient, and easy to implement. The warning is clear: “There will be no space for those who do not use AI,” he states. Learning to work with artificial intelligence will be essential, just as it is unthinkable today to navigate the digital environment without knowing how to use a computer. “You will learn AI; the only question is whether you will do it voluntarily or out of necessity,” he explains. A relevant aspect of his analysis is the professional profile that can benefit most from this transformation. Contrary to popular belief, it is not necessarily the youngest: “Those who can benefit the most from AI are those with work experience,” he points out, as the value lies in identifying problems and applying the tool strategically. In this new context, professional value will rely less on executing repetitive tasks and more on asking good questions, providing insight, and combining human experience with AI capabilities. The gap, according to Sáez, will be both technological and strategic: between those who integrate AI into their routine and those who ignore it. And that difference, he warns, will become evident much sooner than many expect. Source: lavanguardia.com