AI and work: opportunities and risks for skills

Aug 21, 2025 Aurélie Kouéta Vie Professionnelle
IA et travail : opportunités et risques pour les compétences
All Metamorphoses, the Blog

How artificial intelligence is transforming jobs and why skill adaptation is becoming a strategic issue

Artificial intelligence (AI) is already disrupting the world of work. Acceleration of processes, automation of tasks, emergence of new roles: the changes are rapid, profound, and sometimes destabilizing. For organizations as well as for employees, the challenge is clear: adapt skills to turn AI into a lever of opportunities rather than a factor of fracture.

An unprecedented transformation of jobs

AI does not simply replace certain repetitive tasks: it changes the very way of working. Jobs in data, digital, customer relations, health, and industry are directly affected. New functions are emerging (AI specialists, digital ethicists, algorithm supervisors), while others are evolving deeply by integrating an increasing share of automation.

According to the World Economic Forum (Future of Jobs Report, 2023), 44% of current employee skills will need to evolve by 2027. In other words, nearly one in two skills will be impacted by the ongoing revolution.

Most affected sectors: where AI is reshaping jobs

Some industries are particularly concerned by the impact of AI, automation, and process transformation:

🔵 Administrative and support services: according to Goldman Sachs, this sector has the highest automation rate in the United States, with 46% of tasks likely to be automated.

🔵 Industrial manufacturing: it is estimated that around 1.7 million jobs have already disappeared globally due to automation, with robots taking over 44% of repetitive tasks.

🔵 Fields with high human interaction (e.g., health, finance, education, media): while AI is deployed profitably here (diagnostics, optimization, personalization), these jobs are also where human skills remain key, and where support gaps are created.

🔵 Entry-level jobs for young people: a Stanford study shows a decrease of 16% to 20% in jobs held by 22-25 year-olds in vulnerable functions (development, customer service, reception) between the end of 2022 and mid-2025.

This sectoral disparity highlights a continuous and targeted need for skill enhancement, particularly in threatened jobs, and invites a rethink of training in relation to technological transformations.

Opportunities and risks: two sides of the same coin

AI opens up a considerable field of opportunities. It allows for increased productivity, reduces certain thankless tasks, facilitates innovation, and improves service quality. But it also raises legitimate concerns:

🔵 Risk of dequalification: some tasks, once automated, may reduce the perceived value of certain skills;

🔵 Inequalities: employees trained in advanced digital tools progress faster, while others may feel excluded;

🔵 Increased pressure: AI accelerates work rhythms, forcing continuous adaptation.

The challenge for companies is therefore to turn these risks into growth levers, through training and support.

The importance of continuous training

In the face of these rapid changes, training becomes central. The report from the McKinsey Global Institute (2022) estimates that 375 million workers worldwide will need to change jobs or retrain by 2030. The most in-demand skills relate to solving complex problems, creativity, critical thinking, and socio-emotional skills — dimensions that AI cannot replace.

In France, the 2023 Professional Training Barometer (Cegos) indicates that 65% of employees feel the need to develop new digital skills in the next three years.

Skills assessments and support tools: anticipate rather than suffer

In this context, I support professionals and companies in overcoming resistance, particularly in the face of AI, to make it a true lever for evolution rather than a source of concern. My approach is based on concrete and proven tools:

🔵 Skills assessments to identify strengths, spot gaps between current and future skills, and build tailored pathways;

🔵 PNL sessions to strengthen confidence, manage resistance, and develop an adaptive posture;

🔵 Collective workshops to promote collaborative intelligence and integrate AI as a shared tool rather than as a threat;

🔵 A clear communication strategy to give meaning, ease concerns, and value efforts in skill enhancement.

These levers allow employees to better navigate transitions, and companies to secure their transformation projects by betting on human intelligence as much as on technological innovation.

Towards an augmented work future

AI is not an end in itself, but a tool. Organizations that can combine technology and human intelligence will build a sustainable competitive advantage. The future of work is not just about automation: it relies on teams capable of collaborating with machines, cultivating their uniqueness, and innovating within a renewed framework.

AI reshuffles the cards, but it is humans who will write the next chapter. Investing in skills is transforming uncertainty into opportunity.

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Frida Kahlo : créer pour donner couleur et matière à l’indicible
  • Aurélie Kouéta
  • art-therapie
  • 0
Frida Kahlo : créer pour donner couleur et matière à l’indicible
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  • Aurélie Kouéta
  • danse thérapie
  • 0
Dance therapy: when moving helps to release emotions
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transition professionnelle
  • Aurélie Kouéta
  • Vie Professionnelle
  • 0
Ovid's Metamorphoses put to the test of 21st-century professional life
Nearly two thousand years ago, Ovid recounted in The Metamorphoses how gods, heroes, and humans underwent radical transformations: Daphne became a laurel tree, Narcissus changed into a flower, Arachne into a spider. Tales of loss and rebirth, of identity unraveling only to be reinvented. Even today, these stories resonate in our professional lives. A reorganization, a career change, or the arrival of artificial intelligence are nothing less than metamorphoses: sometimes brutal passages that shake up our bearings but also open the way to new definitions of ourselves.
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All Metamorphoses, the Blog