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Growth and Transformation in the Intelligent Age

  • By sujay
  • 09/04/2026
  • 8 Views

The intelligent age is characterized by rapid technological progress, social changes and complexity. Although we are more connected, we are still more isolated. We are flooded with information but cannot trust its veracity. Technologies support us, but at the same time they can pose a threat.

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As companies and governments face challenges related to sovereignty, security and competitiveness, they must pursue approaches that at first seem contradictory: invest boldly despite limited resources, share data while protecting it, and compete with others while still collaborating with them. But these are not contradictions – this is the new operating model.

Against this backdrop, it is clear that companies must adopt a three-pillar approach to survive in this new normal of paradoxes.

First, they must rely on flexible digital foundations, second, integrate AI responsibly into their operations, and third, view collaboration as a strategic advantage rather than a compromise.

These principles form the backbone of a sustainable way of working in the intelligent age, where progress depends on meeting complexity with agility and shared goals.

Switching to the cloud: creating the basis for flexibility

Technologies that seemed futuristic yesterday are already mainstream today and could be outdated tomorrow. For companies to keep pace, they need a stable but adaptable foundation – a platform that can evolve as quickly as the world around them.

This foundation is the cloud. A move to the cloud is more than an IT project: it is the digital basis for a comprehensive modernization of the entire company that wants to develop from “good” to “excellent”.

A modern cloud infrastructure enables data, applications and AI to interact seamlessly, creating an environment in which innovation can thrive. It accelerates the delivery of software updates and new applications, reduces complexity, and provides the scalability needed to respond to changing needs.

However, true flexibility goes beyond technology. Companies need to foster a mindset that sees change as an opportunity, encourages experimentation, and prioritizes resilience over perfection. This means empowering teams to adapt quickly, learn continuously, and view change as an opportunity rather than a threat.

Drive AI innovations according to your own ideas

With AI rapidly changing the way we live, learn and work, no company can afford to ignore it. But many people are not yet clear about how best to use AI.

In the B2B sector, AI cannot be treated as a standalone technology. To achieve its full potential, AI must be deeply embedded in business processes. This requires three pillars:

  • Modern cloud software
  • Advanced data management
  • A consistent AI technology stack

Companies moving from legacy on-premise software to integrated cloud applications are unlocking the potential of AI to access, understand and simplify transactions across the enterprise. This allows AI agents to act as digital employees capable of executing complex, company-wide workflows.

The power of AI is undeniable. This aspect often leads to questions about digital sovereignty in today’s volatile world. True digital sovereignty lies in maintaining control over critical data and resources while leveraging the best available technologies consistent with national interests.

Data protection and compliance are essential. Companies and governments must therefore ensure that sensitive information remains under appropriate legal control.

Internationally agreed standards for sovereignty – such as ISO (International Organization for Standardization) and IEC (International Electrotechnical Commission) – can enable secure, compliant scaling across borders and unlock the full potential of AI without jeopardizing trust.

Not all data requires the same level of protection. Information that is essential to national or public security requires the highest level of control. At the same time, less sensitive data can be managed in trusted cloud environments that meet recognized cybersecurity standards.

This differentiated approach allows organizations to balance innovation and responsibility.

Collaboration in competition

The paradox of competition and collaboration is perhaps the most remarkable of all. In our highly interconnected world, no company or government can address today’s challenges alone. Cybersecurity threats, climate change and economic inequality are global problems that require shared solutions.

The competitive advantage today lies in partnerships – across industries, sectors and borders. Collaboration between the public and private sectors is essential to jointly develop AI use cases, build open data ecosystems and invest in digital education. Such partnerships are absolutely necessary from a strategic perspective. They strengthen our society and prepare the economy for long-term growth.

The cooperation also extends to the area of ​​governance. Creating common frameworks for the ethical use of AI, data protection and sustainability requires dialogue between stakeholders with conflicting interests. However, this dialogue forms the foundation for progress.

Dialogue: The operating principle

The possibilities that AI offers are immense, but by no means guaranteed. The critical factor will be our ability to engage in meaningful dialogue – as companies and governments, technology professionals and policymakers, innovators and citizens.

In the intelligent age, the question is not whether we are confronted with paradoxes, but how we deal with them. Dialogue must be our operating principle – the means by which we resolve paradoxes, build trust, and provide direction that leads to prosperity for all. The future will belong to those who embrace complexity, act boldly and collaborate across borders.


Christian Klein is CEO and member of the Board of Directors of SAP SE.

This article originally appeared on the World Economic Forum website.

How AI Powers Business Transformation | WEF26

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