The 5 key skills your teams will need to master in 2025 to make the most of generative AI 8 minutes

Generative artificial intelligence is rapidly transforming our working environments, creating new challenges but also major opportunities for organizations. This major technological evolution requires a profound transformation of our professional skills, where technology becomes a talent amplifier rather than a mere replacement tool.

Looking at organizations that are succeeding in their digital transformation, five core competencies emerge as essential for 2025:

  • Enhanced critical thinking
  • Learning agility
  • Digital literacy and ethics
  • Enhanced collaboration
  • Contextual intelligence

These skills will enable your teams to take full advantage of generative AI while maintaining a high level of performance and commitment.

In this article, we will first explore in detail these five core competencies that affect all workers. Then, we’ll look at how these skills are specifically applied in four key departments: marketing and communications, sales, human resources and management. This analysis will enable you to better understand the issues specific to each function and adapt your skills development strategy accordingly.

Key skills to take advantage of generative artificial intelligence

1. Enhanced critical thinking

A new dimension in analysis

In a world where generative AI can produce content in seconds, critical thinking becomes more crucial than ever. This skill is no longer limited to the traditional analysis of information, but extends to the ability to validate and verify the results generated by AI. Professionals need to develop a sharp critical eye to distinguish relevant outputs from inaccurate or biased responses.

The art of intelligent questioning

The art of asking AI the right questions is an essential dimension of modern critical thinking. The best results are obtained when users know how to formulate precise, contextualized queries (also known as prompt engineering). This skill involves :

  • Understanding the logical structure of effective prompts
  • Break down complex problems into simpler sub-questions
  • Master the art of reformulation to obtain more precise results

Enriched professional judgment

Professional judgment takes on a new dimension in the age of generative AI. It’s no longer simply a matter of analyzing information, but of creating a synergy between human expertise and the computing power of AI. Professionals must learn to combine their intuition and experience with AI-generated insights to make more informed decisions.

2. Learning agility

Continuous adaptation

The rapid evolution of generative AI tools requires a capacity for continuous adaptation. This makes learning agility a fundamental skill for any professional. This adaptability is not just about learning new tools, but also encompasses the ability to anticipate and adapt to the changes they bring to our working methods.

The culture of experimentation

Developing a culture of constructive experimentation is essential. Professionals must feel comfortable testing new approaches, learning from their mistakes and sharing their discoveries. This culture of continuous learning helps maximize the potential of AI tools while minimizing the risks associated with their use.

Process integration

Agility also manifests itself in the ability to naturally integrate AI into daily work processes. The most successful professionals develop a deep understanding of their workflows and identify where AI can add real value.

3. Digital literacy and ethics

Understanding the fundamentals

A thorough understanding of the strengths and limitations of generative AI is the foundation for its effective and responsible use. This literacy goes beyond the technical aspects to encompass a real understanding of the basic principles that govern these technologies.

Ethics at the heart of our practices

Ethical issues are becoming central to the use of generative AI. Professionals need to develop a heightened awareness of :

  • Confidentiality and data protection
  • Potential biases in the results generated
  • Environmental and social impact of AI use
  • Transparency and explicability of AI-assisted decisions

4. Enhanced collaboration

A new team dynamic

Generative AI is transforming the very nature of professional collaboration. High-performance teams are developing a synergy between their human skills and the capabilities of AI. This enhanced collaboration requires new approaches to project management and communication between colleagues.

Sharing knowledge

Active sharing of best practices is becoming crucial. Teams need to put in place effective mechanisms to document their experiences, share their discoveries and collectively build their expertise in the use of generative AI.

5. Contextual intelligence

Evaluation and relevance

Contextual intelligence enables us to identify situations where generative AI brings real added value. This skill involves a thorough understanding of the organizational context, business objectives and the specific needs of stakeholders.

Impact measurement

The ability to measure the impact of AI on results is becoming essential. Professionals need to develop rigorous evaluation methods to quantify benefits and identify areas for improvement in their use of AI.

Specific applications of generative AI by department

Specific applications by department

Marketing and Communications

In a context where generative AI is revolutionizing content creation and distribution, marketing professionals need to develop specific skills. The ability to orchestrate an AI-enhanced content strategy becomes paramount. Marketers must master the art of directing AI to maintain a consistent brand voice while maximizing message personalization.

Developing a heightened creative sensitivity is essential.

Marketers need to learn to use AI as a catalyst for creativity rather than just a production tool.

This means knowing how to guide AI to generate creative variations, while maintaining control over art direction and brand messaging.

A crucial skill is the ability to analyze and interpret the engagement data generated by AI-assisted content. Marketing professionals need to develop the ability to adjust their strategies based on these insights, creating a cycle of continuous improvement.

Sales

For sales professionals, the integration of generative AI requires the development of a new form of relational intelligence. Salespeople need to learn how to use AI to enrich their customer interactions while preserving the authenticity of the relationship. This skill involves knowing when and how to use AI to personalize communications without losing the essential human touch.

Augmented predictive analytics is becoming a key competency. Salespeople need to develop their ability to interpret and act on AI-generated insights into buying behavior and sales opportunities. This skill includes the ability to combine sales intuition and analytical data to make strategic decisions.

Another essential skill is mastering AI-assisted sales proposal generation. Salespeople must learn to collaborate with AI to create tailored proposals that reflect an in-depth understanding of each customer’s specific needs.

Human Resources

HR professionals need to develop expertise in assessing and developing skills in the AI era. This skill involves the ability to identify emerging training needs and design personalized learning paths incorporating AI.

Mastering predictive talent analysis is becoming crucial. HR must develop the ability to use AI to anticipate skills needs, identify departure risks and optimize career paths. This skill includes the ability to interpret data while maintaining a fair and ethical approach.

HR also needs to develop expertise in AI-enhanced change management. This involves the ability to use AI to identify resistance, customize change approaches and measure the adoption of new practices.

Management

Managers need to develop a new form of augmented leadership. This skill involves the ability to use AI to enrich decision-making while maintaining authentic, human leadership. Managers must learn to balance AI-generated insights with their judgment and experience.

Augmented performance management is becoming an essential skill. Managers need to master the use of AI to monitor and optimize the performance of their teams, while maintaining a motivating and equitable work environment. This competence includes the ability to use AI to identify development opportunities and provide personalized feedback.

Facilitating AI-assisted innovation is another key skill. Managers need to know how to use AI to stimulate their teams’ creativity, facilitate complex problem solving and encourage constructive experimentation.

Developing skills requires an ongoing commitment to training and learning

Developing these skills requires an ongoing commitment to training and learning. Leaders play a crucial role in this transformation, having to both set an example and create an environment conducive to the acquisition of these new skills.

Now is the time to prepare your teams for this evolution. By investing in the development of these five key skills, you are positioning your organization for success in a world where generative AI becomes an everyday working partner. The success of this transformation will depend on your ability to put people at the heart of this technological evolution.

Is your organization up to the challenge?

Developing these skills is a strategic investment in the future of your company and the success of your teams.

  • 55% of marketing professionals use AI to increase their efficiency
  • 60% of R&D leaders consider AI essential for innovation
  • 91% of regular users no longer want to work without AI

Behind the scenes: Our writing process amplified by AI
At Moov AI, we believe in transparency in our use of artificial intelligence. The creation of this article illustrates our vision of AI amplifying human capabilities rather than replacing them.
Our writing process relied on three AI tools used strategically: Perplexity AI for initial research and trend exploration, NotebookLM for synthesizing and organizing the information gathered, and finally Claude AI (version 3.5 Sonnet) to refine the structure and content of the article through a guided conversation.
This approach demonstrates our conviction: the future of work lies in a thoughtful synergy between human expertise and AI capabilities, where each tool is used for its specific strengths, guided by a clear human vision.

For the images, we used Midjourney with the following prompt: Abstract 3D illustration representing human-AI collaboration in the workplace, designed with flowing organic shapes in fluid style with a yellow and blue gradient. The composition shows interconnected professionals interacting with AI-powered tools, symbolizing key workplace skills for 2025. Dynamic ripple effects and luminous particles suggest representing critical thinking, learning agility, digital literacy, collaboration, and contextual intelligence, while maintaining a professional and sophisticated aesthetic. Subtle network patterns in the background convey organizational transformation. The overall style is modern, clean, and corporate-friendly with a touch of innovation.

The images were then modified using Adobe Photoshop (firefly).