Our views on sovereignty, resilience and AI
The next phase of digitalisation is not driven solely by new technologies. It is transforming the very foundations of digital agency.
Quantum computing is challenging today’s chains of trust. Artificial intelligence is becoming an infrastructure issue. AI agents are increasingly taking on tasks within processes. Physical AI connects digital systems with the real world. Corporate twins open up new possibilities for simulating complex decisions.
Taken together, these developments raise a broader question:
How can organisations remain controllable, autonomous and trustworthy when digital systems are increasingly acting on their own?
Our series of perspectives highlights five developments that show why digital agency will mean more than just efficiency, automation or new tools in the future.
Who can we still trust online?
Quantum computers: The end of encryption as we know it
Quantum computing still sounds like something of the future. Yet its impact is already being felt today. After all, much of this data does not need to be decrypted today; it is enough simply to store it today.
This perspective makes it clear why post-quantum readiness extends far beyond cryptography and is becoming a key prerequisite for digital sovereignty – for public administration, KRITIS, industry and all organisations with data that requires long-term protection.
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What infrastructure will underpin the future of AI?
Green AI is not a romantic notion
AI appears to be intangible. In reality, it requires electricity, water, space, chips, cooling and networks. This makes artificial intelligence a question of location.
This perspective shows why ‘green AI’ is not merely a sustainability label, but a strategic infrastructure issue: anyone wishing to operate AI in a sustainable, sovereign and accountable manner must consider computing power, energy, governance, cybersecurity and resilience as an integrated whole.
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How can organisations remain in control when AI is taking action?
AI agents: If you automate chaos, you get chaos in real time
The chatbot phase was just the beginning. AI agents are moving beyond the interface and becoming integrated into core processes. They prioritise tasks, initiate workflows, access systems and prepare decisions.
This highlights the potential that Agentic AI offers for more productive organisations – and how quickly a lack of governance, unclear processes and overly broad permissions can become a risk. Autonomy requires identities, guidelines and accountability.
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What happens when infrastructure reacts on its own?
Physical AI Cities: When cities begin to take action
For a long time, smart cities have mainly been about observation: sensors, data, dashboards. The next stage begins when urban infrastructure itself becomes part of the chain of action.
A look at Physical AI Cities highlights the potential of infrastructure that adapts dynamically to new situations – and why it cannot be justified without governance, resilience and democratic control.
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How do managers make better decisions in complex situations?
Corporate Twins: Why Leadership Needs a Flight Simulator
Pilots train in a simulator before taking responsibility for passengers. Executives, on the other hand, often make decisions whose consequences only become apparent once they have long since become reality.
Digital corporate twins open up the possibility of simulating decisions in advance, identifying risks at an earlier stage and gaining a better understanding of complex interdependencies. Corporate twins do not replace human judgement – they can make it more informed and forward-looking.
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