39% of skills will change by 2030 (WEF). 73% of employees fear AI will eliminate their job. Yet the WEF projects a net +78 million new jobs by 2030. The challenge is the transition.
Basic prompt engineering, AI limitations awareness (hallucinations, bias), secure usage (GDPR data), augmentable task identification. Training: 4-8 hours.
AI use case identification, basic ROI calculation, AI project management (without coding), EU AI Act governance. Training: 16-24 hours.
LLM engineering, RAG, fine-tuning, MLOps, model evaluation. Certifications: AWS ML Specialty, Google ML Professional, Azure AI Engineer. Training: 40-80 hours.
AI strategy, governance, risk management, competitive positioning. Executive programmes: MIT Sloan AI Strategy, INSEAD Digital, VLERICK Brussels Digital Transformation.
Frame AI as a tool freeing employees from repetitive tasks for higher-value missions. Share concrete examples of colleagues whose work has enriched.
Train teams 4-6 weeks BEFORE deploying an AI tool. Trained early adopters naturally become ambassadors.
Involve end users in AI workflow design. Resistance drops by 60% when employees participated in use case definition.
Molderez Consult SRL co-builds your 18-month AI roadmap.
AI strategy workshop