AI and Work: Will It Create or Destroy Jobs?

The debate on the impact of artificial intelligence on work is more heated than ever. As AI technologies become increasingly sophisticated, professionals and policymakers ask themselves: will these innovations lead to a future of abundant work or to an unprecedented employment crisis? The answer, as often happens, lies in the nuances.

Creative destruction: a historical phenomenon

Economic history teaches us that every technological revolution has simultaneously destroyed and created jobs. The steam engine eliminated artisan occupations but generated entire industrial sectors. Likewise, AI is automating repetitive and routine tasks, but it is also paving the way for professions unimaginable just a few years ago.

According to recent studies, while 20-25% of current work tasks could be automated in the coming decades, new demands for digital skills, AI management, and hybrid roles combining human and synthetic intelligence are emerging in parallel. The issue is not so much the overall amount of available work, but rather the speed of change and the inequalities in the ability to adapt.

Sectors transformed by generative AI

Generative AI is revolutionizing sectors such as programming, marketing, technical writing, and customer service. Professionals who previously spent hours on drafting tasks now collaborate with AI assistants to produce results in minutes. This paradigm shift requires a fundamental rethinking of the skills required in the world of work.

Here are some emerging roles related to the AI ecosystem:

• Prompt engineers and specialists in optimizing human-AI interactions
• Curators of verified content and ethically accountable professionals
• Supervisors of AI systems to ensure alignment and quality
• Designers of hybrid workflows that integrate automation and human creativity

The challenge of transition and training

The real challenge is not so much technological as social: how do we prepare the current workforce for this transition? Data shows that workers under forty and those with higher education adapt more quickly, while others risk being left behind.

Large-scale upskilling and reskilling programs, partnerships between the public and private sectors, and investments in continuous education represent the main tools for ensuring that the benefits of AI are distributed equitably. Without these interventions, we risk widening the gap between those who leverage technology and those who suffer its consequences.

What to do today: practical strategies

For professionals and organizations looking to navigate this change successfully, the key is to adopt a proactive and flexible approach. Investing in the development of transversal skills such as critical thinking, creativity, and the ability to collaborate with intelligent systems is no longer optional but a strategic necessity.

The future of work with AI is not predestined: it is built day by day through informed choices, forward-looking policies, and a collective commitment toward an inclusive model. Technology is a tool, but it is we who decide how to use it to create sustainable value for all of society.