Between Potential and Practice: The AI Gap in Everyday Work Life
What Does AI Readiness Actually Mean?
Important Distinction:
Specifically, it involves questions like:
- Do employees understand the basics and logic behind AI?
- Can they use tools competently and with critical awareness?
- Do they know how their role is changing through AI?
- Are there clear guidelines in place for usage, ethics, and quality?
Why AI Readiness Requires Cultural Change
AI is not just another tool. It fundamentally changes how we think, make decisions, and collaborate. Organizations that approach AI solely from a technical angle are falling short.
What Employees Really Need
1. Make AI Tangible
- Live demos and concrete use cases within your own organizational context
- Experiments with generative tools in a safe and structured environment
- Everyday scenarios that make the benefits of AI tangible
2. Low-Barrier Learning Opportunities with Everyday Relevance
- Introductory trainings that teach foundational skills
- Offerings for different needs and experience levels
- Focus on self-efficacy: “I can learn this”
3. Exchange Formats and Communities
- AI communities or peer groups within the organization
- Hackathons, promptathons, or learning circles
- Visibility of successes, questions, and learnings
Strengthening AI Readiness: The Role of Leaders
Leaders are not automatically AI experts – but they play a key role when it comes to driving cultural change. matters. This comes down to two key levels:
1. Being Empowered Yourself
- Develop a basic understanding of AI, its opportunities, and risks
- Clarify your own questions: What can AI do? What can’t it do?
- Make use of support offers – such as coaching or training sessions
- Be a role model in dealing with uncertainty and continuous learning.
2. Empower and Support the Team
- Provide guidance and create a sense of security
- Reflect on possible use cases together
- Enable exchange formats and make experiences visible
- Set realistic expectations and acknowledge learning progress
Quick Wins for More AI Readiness in Your Organization
1. Target Group–Specific Learning Opportunities
2. Practical Relevance Through Use Cases
3. Communication Measures That Make an Impact
Share success stories from within the organization: Who tried what – and how did it help? Use internal newsletters, team updates, or intranet posts to build confidence and spread inspiration.
What’s important here: The goal isn’t to turn everyone into data scientists. The goal is to foster a sense of self-efficacy – “I know what I can do, and where to find support.”
Conclusion
What’s needed is guidance, trust, and the targeted development of skills. That’s why AI readiness is not just about knowing the tools – it’s also about having an open mindset, critical thinking, and confidence in everyday application.
Leaders play a central role in this—not as experts, but as role models and learning partners. What matters is that learning doesn’t happen in isolated moments, but is designed as a continuous process. Those who combine clear communication with practical learning formats and opportunities for exchange lay the foundation for confident and future-ready use of AI within their organization.
For anyone who wants to use AI meaningfully in their daily work. This program offers practical guidance on identifying opportunities, understanding legal basics, and reflecting on how to work with AI-generated results.
AI Readiness – Strategies for Leaders
For decision-makers who want to actively shape cultural and strategic transformation. With a focus on leadership, targeted involvement, and enabling conditions for responsible AI integration.