Supporting the Evolution of Skills and Jobs with AI

🔸 Context and Challenges

The massive arrival of AI in organizations is transforming jobs, daily tasks, and expected skills. Without support, these changes can generate:

• Concerns or misunderstandings

• Loss of reference points

• Misuse of tools

• Operational or legal risks

• Reduced quality or efficiency

Understanding these evolutions is essential to secure practices and enable employees to remain active contributors to their profession.

🔸 Training Benefits

• A reassuring and didactic approach

• Concrete examples of job evolution across sectors

• A balanced view of risks and opportunities

• Training delivered by an AI expert

🔸 Key Strengths of the Training

1. Concrete examples of real-world risks encountered in the workplace

2. A practical, learner-focused approach centered on security, accountability, and error prevention

3. Immediate hands-on exercises to help participants identify and recognize biases

4. Training delivered by an expert in AI and digital ethics

🔸 Objectives

1. Evolution Objectives

At the end of the training, participants will be able to:

•  Understand the impact of AI on their job

• Identify skills to strengthen or develop

• Adopt a posture of adaptation and continuous learning

• Use AI responsibly and securely
• Anticipate future evolutions of their role

2. Learning Objectives

Participants will acquire:

•  A clear vision of transformations induced by AI

• Tools to analyze the evolution of their job

• Understanding of key skills: analysis, verification, creativity, supervision

• Tools to integrate AI into their practices without losing expertise

• Concrete examples of task and skill reorganization

🔸 Example of Practical Application

Context: An employee sees some of their tasks automated by AI (writing, analysis, synthesis, filling spreadsheets…). They must understand how to reposition their role and which skills to strengthen.

Objective: Identify automatable tasks, those requiring human expertise, and define a skills development plan.

Work Completed:

• Analysis of a job or business process

• Identification of automatable vs non automatable tasks

• Definition of key skills to strengthen
• Construction of a mini professional development plan
• Risk assessment (loss of quality, AI dependency, undetected errors)

Skills Mobilized:

• Job analysis

• Critical thinking

• Professional projection
• Risk understanding
• Adaptation and upskilling