第2章　AI と仕事の未来

Last spring, a young man named Kenta visited his father's small printing factory in Osaka. He had not been there for several years, and he expected to find the same noisy, busy workplace that he remembered from childhood. To his surprise, however, much of the floor was quiet. Three large machines, equipped with cameras and computer arms, were doing tasks that human workers used to perform. His father stood beside one of them, calmly checking a screen that displayed real-time data. "We had no choice," his father explained. "Many of our older workers retired, and we could not find young people willing to do this kind of job. We had to adapt, or we would have lost the business entirely." The machines, he said, never grew tired and could operate twenty-four hours a day. They reduced costs significantly and rarely made mistakes. Even more importantly, they freed the remaining workers from heavy and dangerous tasks.

Stories like this can now be found in factories, offices, and farms throughout the world. Artificial intelligence and robotics have advanced so rapidly that machines can now perform tasks once regarded as impossible without human judgment. AI can translate documents, diagnose certain diseases, predict customer behavior, and even write articles. According to recent estimates, more than thirty percent of current jobs may be transformed within the next two decades. Many workers naturally feel anxious. They worry that machines will replace them and that the skills they spent years acquiring will no longer be valuable. Such concerns are not new. Throughout history, every major technological change—from the steam engine to the personal computer—has caused similar fears. In most cases, however, new technologies eventually created more jobs than they destroyed, though the transition was often painful for those whose work disappeared. Some experts argue that the current change is different. Earlier machines mainly replaced physical labor, while AI can now perform tasks that require thinking and creativity. Lawyers, accountants, designers, and even doctors may find that machines can do parts of their work more efficiently than they can. Yet other experts insist that this view is too pessimistic. They argue that AI will help humans rather than compete with them. A doctor supported by AI, for instance, can examine more patients and identify diseases at an earlier stage.

What is certain is that the kinds of skills employers seek will change. Routine tasks that follow clear rules can be handled by machines, so workers will need to develop skills that machines cannot easily imitate. Creativity, careful communication, the ability to cooperate with others, and the willingness to keep learning will become more important than ever. Schools and universities are gradually beginning to adjust their programs, though many still focus on knowledge that AI can already provide instantly.

Kenta's father is now training his remaining workers to operate and maintain the machines. The work is more technical, but also less physically exhausting. "Our workers are not enemies of the machines," he said. "They are partners." Whether such partnerships succeed will depend not only on the technology itself, but on the choices that governments, companies, and individuals make in the coming years.

When Kenta left the factory, he felt both excited and uneasy. The future of work, he realized, would be shaped by how we respond to these changes—whether we resist them, accept them passively, or actively prepare for them. The decision is ours.