Automation, with the consequent intervention of increasingly developed robots in the workplace, has historically been perceived as a threat to workers. However, as artificial intelligence (AI) reaches higher levels of maturity, the balance tilts positively: more jobs are created than replaced. Specifically, the World Economic Forum estimated in 2020 that AI and new technologies will replace 85 million workers by 2025 but, by that same date, they will have created some 97 million new vacancies.

Data analysts, AI experts and machine learning, operations directors, specialized developers, experience creators, data scientists and synthetic data builders are just some of the positions whose demand is continuously rising and that until just a few years ago did not even exist.

But not only that: AI is also driving hybrid jobs, which lead humans and machines to work collaboratively: while the software deals with repetitive tasks that require enormous speed and computational precision without making a single mistake, and deals with potentially dangerous tasks (such as moving heavy boxes or repair risky machinery), people concentrate on tasks with higher added value.

The methods of interaction between humans and AI can be classified into different categories. The first, when technology assists the person: it provides indications so that they can improve their work, helps them prioritize activities or completes those that have already started. The second it involves tasks that the AI solves on its own but that require human control. Third It occurs when the AI is already dedicated to completing the job, but requires human “help” in cases that exceed training, as can happen with the approval of medical studies.

 Manuel Allegue – August 19, 2022