AI & Employment: a new approach to skills management

Present across most sectors, artificial intelligence is already transforming jobs and the world of work in very concrete ways. It is reshaping how we collaborate, learn and make decisions. Some tasks are disappearing, new ones are emerging and certain skills are becoming more critical than ever.

In most organisations, these transformations are still at an early stage, often limited to pilot projects or isolated use cases. HR teams still lack visibility on the very concrete impact of AI on roles and professions. What forms of transformation do they already need to manage today? Which ones should be anticipated to retain control over AI’s impact on jobs?

These questions were at the heart of the Septeo Future Insights HR 2025 round table: “Skills & training in the era of AI-driven transitions”.

AI & employment: key takeaways

  • The impact of AI on employment is real but overall positive: some jobs disappear, others are created in greater numbers and the content of roles is evolving.
  • AI does not replace humans: it reshapes the way we work and brings new skills to the forefront.
  • Soft skills related to AI (curiosity, adaptability, critical thinking) are becoming the most important capabilities to develop.

Skills management in the age of artificial intelligence

AI & employment: redefining jobs rather than eliminating them

Artificial intelligence is still often perceived as a threat to employment, associated with job cuts driven by automation and productivity gains.

In reality, the picture is more nuanced. Backed up by data, we can see that AI is changing the nature of work, redistributing responsibilities and shifting the skill sets required.

AI as a lever for employees

The first productivity gains are now measurable. According to Bain & Company, organisations deploying AI could increase their EBITDA by 20%.

This lever does not come from mass job destruction, but from the fact that AI takes over:

  • repetitive tasks
  • low value-added activities
  • time-consuming but low-differentiation actions

This allows employees to focus on their core expertise, customer relationships, analysis, creativity and decision-making.

As Mickaël Vandepitte, Chief Product Officer at Septeo HR, summarises: “AI is not here to replace employees, but to help them excel.”

Example: the impact of AI on the trainer role

The professional training sector is a strong illustration of this new dynamic. In this field, AI can:

  • automate content preparation
  • adapt and personalise training pathways
  • free up time for pedagogy and individual support

However, it does not substitute the human role of the trainer. Building a relationship, listening, facilitating a group, creating a climate of trust – none of this can be done by artificial intelligence.

For Quentin Declercq, founder of Superformateur, AI does not create the bond in place of the trainer; it amplifies their role and strengthens their impact.

This combination of human intervention and technological tools marks a new stage in the evolution of work: jobs are being transformed with AI, not replaced by it.

 

 

The real AI challenge for businesses: closing the skills gap

If AI does not eliminate professions, it does profoundly reshape the labour market. At global level, almost one in four jobs could be exposed to generative AI, according to the Observatoire International du Travail.

The World Economic Forum estimates that artificial intelligence could:

  • destroy 92 million jobs by 2030
  • but create 170 million over the same period
  • resulting in a net positive balance of 78 million jobs

The roles most at risk are those made up largely of repetitive tasks. Gradually, these activities are giving way to higher value-added work: analysis, relationship-building, creativity, advisory support.

This transition logically brings new skills to the forefront – skills employees need in order to adapt as their roles evolve.

According to the World Economic Forum:

  • 40% of current skills are expected to change
  • 63% of employers already cite skills shortages as a major obstacle

For HR teams, the roadmap is clear. HR now has to organise and steer upskilling and reskilling so they can secure business continuity and maintain their teams’ capacity to adapt.

As Isabelle Rouhan, founder of Colibri Talent and Chair of the Observatoire des métiers du futur, reminds us during Septeo Future Insights HR 2025: “Anyone can change career path, provided they are supported through that transition.”

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Our AI & employment round table available on replay

Watch the replay of our Septeo Future Insights HR 2025 round table on training as a lever for engagement, retention and agility – at a time when AI is profoundly reshaping the core of many professions.

Speakers at the event:

  • Frédéric Bardeau (Simplon.co)
  • Quentin Declercq (Superformateur, Founder)
  • Laurie Fabiani (Artefact)
  • Eneric Lopez (Microsoft)
  • Isabelle Rouhan (Colibri Talent)

Watch the conference replay

 

Soft skills: AI’s real impact on employment

AI is forcing a rapid renewal of skills within organisations. To respond, many businesses are ramping up internal training on AI.

The challenge? A large share of these programmes still focus mainly on technical aspects and tool usage, without sufficiently tackling the human, cultural and critical dimensions.

Three levels of AI training in organisations

As Quentin Declercq explains, most AI training plans are structured around three core blocks:

  1. Technical skills
    Training for developers, data scientists and data/AI specialists.
  2. Tool proficiency
    Adoption of generative AI tools such as ChatGPT, Gemini, Midjourney and other operational solutions.
  3. Cultural and critical skills
    Awareness-raising on use cases, bias, ethical issues and the mindset required when working with AI.

It is this third layer – though essential – that remains the least developed today. Often focused on tools with a more directly measurable ROI, organisations still underestimate the importance of helping employees adopt the right posture towards AI. In this context, AI-related soft skills are becoming the key to sustainable performance.

AI & employment: which soft skills should be prioritised?

According to our IA & HR 2025 barometer, three behavioural skills stand out as critical for working effectively with artificial intelligence:

  • Analytical thinking – cited by 42% of HR professionals surveyed
  • Adaptability – mentioned by 30% of respondents
  • Curiosity – highlighted by 17% of them

These soft skills reflect the ability to learn continuously, to adopt a critical eye on outputs produced by AI systems, and to step in when recommendations are not relevant. In other words, simply knowing how to use an AI tool is not enough. Employees must also be able to assess its limitations, challenge its answers and make the final call.

Soft skills and AI: the new human capital

The rise of AI-related soft skills is reshaping the traditional skills landscape.

They are becoming both:

  • a competitive advantage for employees
  • a performance lever for organisations

As Eneric Lopez, Director of AI and Social Impact at Microsoft, sums up: “Soft skills are set to become real ‘power skills’.”

In an “AI-driven” organisation, interacting with autonomous agents and conversational agents, challenging their recommendations and extracting value for the business are now among the most sought-after capabilities.

The strategic skill of tomorrow is therefore not just “knowing how to use AI”, but knowing how to think with it – while maintaining the necessary perspective.

 

 

Key takeaways

  • The impact of AI on employment is less about job cuts and more about the recomposition of roles.
  • AI supports employees by automating low value-added tasks and shining a spotlight on their human skills.
  • For organisations, the priority is now to identify, develop and manage the key skills needed to evolve sustainably with AI.