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02/2026

Modern work environment in which a team works together on a digital strategy and bridges the gap between technology and personnel development.

Performance Culture 2026: Why the “Harmony Dilemma” Is Holding Companies Back

In many organizations, two worlds are currently colliding: massive transformation pressure driven by AI meets a workforce that feels torn between a “soft-touch approach” and “performance pressure.” Yet the old command-and-control mindset no longer works. If you want to measure performance today, you first need to create enablement.

We recently discussed this in an article published by Computerwoche (original article is in German). The core issue in many organizations is a “harmony dilemma.” The backlash against hard performance culture clashes with a caring leadership approach — a conflict that slows companies down more than any KPI ever could.

AI Enablement as a Lever for the New Performance

AI only unfolds its impact in everyday work when it is understood not merely as an IT tool, but as a core capability. Effective AI enablement connects target groups, content, and timing to transform AI from a “tool topic” into a shared change initiative.

We focus on five key impact areas:

  • AI Fundamentals: Building a shared understanding of LLMs and prompting.
  • AI Governance: Confidence in responsible AI use and translating regulations such as the AI Act into practice.
  • Use Case Identification: Enabling teams to prioritize relevant AI use cases within their specific work context.
  • AI Transformation: Communication and building acceptance within teams.
  • Transfer to Team: Sustainable integration of knowledge into daily ways of working.

The Shift: Performance Cultures in Direct Comparison

As we explained in Computerwoche, KPIs in the future must be aligned with real value creation — outcomes that truly matter to customers and the organization. The comparison illustrates the necessary shift:

Competency Area Traditional Performance Culture New Performance Culture (DeepSkill Approach)
Coaching & Feedback Annual reviews, retrospective evaluation Ongoing dialogue, real-time learning
Performance Management Focus on output, activity, and metrics Focus on value creation and innovation impact
Empowerment Micromanagement and control Delegation, autonomy, and team ownership
Technological Competence Technology as a tool managed by “IT” Understanding how humans and AI create value together
Clarity & Focus Vague goals, reactive execution Clear target states and defined expectations

30% of the Workforce Determines Success

For AI transformation to succeed, approximately 30% of the workforce must be actively enabled. Our approach integrates all levels — from top management and leadership to AI multipliers and subject-matter experts.

Conclusion for HR, IT, and Business Leaders

Introducing AI is not a pure IT project — it is a cultural transformation. We ensure that AI initiatives create measurable impact by closing critical skill gaps through clearly aligned training.

Would you like to learn how we translate your competency mapping into a scalable learning journey?
Let’s analyze together how to elevate your organization to the next level of performance.

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