Don’t worry: 4 reasons why AI won’t take your job

Portuguese people have 3 priorities when choosing a job (salary is no longer the main one)

Don't worry: 4 reasons why AI won't take your job

For now, official data do not show an employment crisis; and there are many people who continue to prefer the human factor.

In recent years, artificial intelligence (IA) It went from being a technological curiosity to becoming a powerful tool with an impact on several professional areas.

Systems based on advanced language models can now write code from a sentence, summarize legal documents in seconds, interpret complex medical exams or coordinate administrative tasks.

In view of these advances, alarmist predictions are multiplying that point to a near future with massive unemployment among qualified professionals.

Still, the magazine points out, there are 4 reasons to believe that AI’s impact on employment may be less dramatic than many anticipate.

Employment data does not show a crisis

Despite the impressive capabilities of current AI systems, labor market figures have so far not revealed a significant increase in technology-driven unemployment. In the United States, for example, the unemployment rate has remained close to 4% in recent years.

Even in sectors particularly exposed to automation, such as software development or administrative services, changes have been relatively moderate. In some cases, such as market research, employment even grew after the popularization of generative AI tools.

Additionally, many companies continue to plan to expand their teams. Recent surveys of business leaders indicate that a significant majority intend to maintain or increase the number of workers, even while investing heavily in the adoption of artificial intelligence.

Humans don’t need to be better than machines

To maintain economic value, workers do not necessarily need to outperform machines at every task. In many cases, it is enough for them to be able to complement the work of AI.

The example of translators is illustrative. Automatic systems can translate texts at a speed and cost impossible for a human. However, when a professional works with the help of these tools, the end result tends to be better than that produced by the machine alone. The translator can adjust tone, correct idiomatic expressions and avoid ambiguities or subtle errors.

Furthermore, when a technology drastically reduces the cost of a service, demand tends to increase. With cheaper and faster translations, more companies and institutions are turning to this type of service, which can offset part of the efficiency gains.

Many people prefer the “human touch”

Another important factor is that, in several areas, consumers value human work. Even when technology allows you to automate an activity, many people are still willing to pay more for a service provided by someone else.

This phenomenon has been observed for a long time. Even though recorded music has been around for more than a century, hotels and restaurants continue to hire live musicians. Likewise, although it is possible to plan trips online, thousands of people still turn to travel agents.

Something similar can happen in areas such as medicine, law, entertainment or even journalism: there will always be a segment of the market that explicitly values ​​human intervention.

AI Progress May Not Be Exponential

Finally, some of the most pessimistic predictions are based on the idea that the evolution of artificial intelligence will be exponential. If each improvement accelerates the next, technology could quickly surpass humans in almost every intellectual task.

However, it is not certain that this rate of progress will be maintained for a long time. Although current models are improving rapidly, evidence for truly exponential growth is more limited than often claimed.

In short, artificial intelligence could profoundly transform the job market, but this does not necessarily mean a future of massive unemployment. As with other technological revolutions, AI is most likely to change the way we work — creating new challenges, but also new opportunities.

Source link