Turning AI challenges into real effects – together
Before we dive deeper into this topic:
During the week of the World Economic Forum Annual Meeting, we are bringing together leading decision-makers from business, technology, and society in Davos to discuss the role of AI in Europe's competitiveness and resilience.
All program details for AI House Davos Week 2026 can be found here: https://www.aihousedavos.com/2026-agenda
Panel: The Great Rewiring – AI, Industry, and the Architecture of Global Resilience
Date: January20 , 2026
Time: 9:30–10:30 a.m.
Healthcare systems, pharmaceutical innovation, and many industries around the world are at a critical turning point. Aging populations, increasing chronic diseases, skills shortages, and pressure on productivity are changing how we work and shape society. At the same time, countries and companies that are consistently leveraging digitalization and artificial intelligence (AI) are overtaking those that are hesitant. The message is clear: we must work together to turn complex challenges such as AI into measurable, real impact while strengthening our economies and healthcare systems.
Even in areas with great potential, implementing AI remains challenging. Many organizations in the healthcare and pharmaceutical industries are still cautious and unsure how to move from pilot projects to scalable solutions. Concerns about regulatory frameworks, data protection, or ROI often slow down adoption. But our experience shows that when AI is used responsibly, it can improve quality, make processes more efficient, and open up entirely new opportunities for innovation. Overcoming these hurdles requires leadership that prioritizes digital transformation, a skilled and ethically trained workforce, and a culture that sees technology as an enabling tool, not a replacement.
Technical and data-related challenges are equally significant. Fragmented health data, inconsistent data sets, and outdated IT systems make it difficult to scale AI. In the pharmaceutical industry, clinical data, real-world evidence, and regulatory requirements also complicate implementation. The solution lies in creating uniform, secure, and controllable data infrastructures and seamlessly integrating AI into human workflows. Transparency, fairness, and ethics must accompany every initiative so that technology builds trust and delivers better results without compromising security or privacy. In this way, AI will evolve from an experimental tool to a multiplier of human expertise.
The real value of AI lies in empowering people. In healthcare, this means providing better support to doctors, helping researchers develop drugs more quickly, reducing the bureaucratic burden on caregivers, and generally relieving teams of administrative tasks. The same applies to other industries: AI can complement human capabilities, increase efficiency, and enable innovation. However, this potential can only be realized if education, trust, and responsible use are firmly anchored in the organization. Employees must learn digital skills, algorithmic thinking, and the ethical use of AI so that technology serves people and does not create dependency or fear.
Globally speaking, the stakes are high. We are often alarmed by the high investments made by the digital mega-players. Countries with strong talent, solid industrial or health infrastructure, and a responsible culture—such as Germany—have the opportunity to lead the AI-driven transformation. What is crucial is courage, decisive action, and the willingness to simply take the first step, try new things, and learn quickly. The US, China, and other pioneers are already far ahead, and every day of hesitation costs economic and social opportunities... and, in the long term, a loss of our current prosperity. To believe otherwise would be nonsensical. The solution lies in a joint effort toward collective action: cooperation between governments and regulators, industry, start-ups, and research institutions to create practical, ethical, and scalable AI solutions.
At Merantix Momentum, we see every day how much can be achieved when experts from science, business, and entrepreneurship come together. AI must be a tool that strengthens organizations, improves processes, and empowers people—always adapted to the values and needs of society. The most effective solutions arise when different perspectives and skills come together. Together, we can turn complex AI challenges into real impact, improve healthcare, accelerate innovation in the pharmaceutical industry, and promote economic resilience. The transformation is already here, and our future depends on whether we shape it together or remain at its mercy.
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Turning AI challenges into real effects – together
Before we dive deeper into this topic:
During the week of the World Economic Forum Annual Meeting, we are bringing together leading decision-makers from business, technology, and society in Davos to discuss the role of AI in Europe's competitiveness and resilience.
All program details for AI House Davos Week 2026 can be found here: https://www.aihousedavos.com/2026-agenda
Panel: The Great Rewiring – AI, Industry, and the Architecture of Global Resilience
Date: January20 , 2026
Time: 9:30–10:30 a.m.
Healthcare systems, pharmaceutical innovation, and many industries around the world are at a critical turning point. Aging populations, increasing chronic diseases, skills shortages, and pressure on productivity are changing how we work and shape society. At the same time, countries and companies that are consistently leveraging digitalization and artificial intelligence (AI) are overtaking those that are hesitant. The message is clear: we must work together to turn complex challenges such as AI into measurable, real impact while strengthening our economies and healthcare systems.
Even in areas with great potential, implementing AI remains challenging. Many organizations in the healthcare and pharmaceutical industries are still cautious and unsure how to move from pilot projects to scalable solutions. Concerns about regulatory frameworks, data protection, or ROI often slow down adoption. But our experience shows that when AI is used responsibly, it can improve quality, make processes more efficient, and open up entirely new opportunities for innovation. Overcoming these hurdles requires leadership that prioritizes digital transformation, a skilled and ethically trained workforce, and a culture that sees technology as an enabling tool, not a replacement.
Technical and data-related challenges are equally significant. Fragmented health data, inconsistent data sets, and outdated IT systems make it difficult to scale AI. In the pharmaceutical industry, clinical data, real-world evidence, and regulatory requirements also complicate implementation. The solution lies in creating uniform, secure, and controllable data infrastructures and seamlessly integrating AI into human workflows. Transparency, fairness, and ethics must accompany every initiative so that technology builds trust and delivers better results without compromising security or privacy. In this way, AI will evolve from an experimental tool to a multiplier of human expertise.
The real value of AI lies in empowering people. In healthcare, this means providing better support to doctors, helping researchers develop drugs more quickly, reducing the bureaucratic burden on caregivers, and generally relieving teams of administrative tasks. The same applies to other industries: AI can complement human capabilities, increase efficiency, and enable innovation. However, this potential can only be realized if education, trust, and responsible use are firmly anchored in the organization. Employees must learn digital skills, algorithmic thinking, and the ethical use of AI so that technology serves people and does not create dependency or fear.
Globally speaking, the stakes are high. We are often alarmed by the high investments made by the digital mega-players. Countries with strong talent, solid industrial or health infrastructure, and a responsible culture—such as Germany—have the opportunity to lead the AI-driven transformation. What is crucial is courage, decisive action, and the willingness to simply take the first step, try new things, and learn quickly. The US, China, and other pioneers are already far ahead, and every day of hesitation costs economic and social opportunities... and, in the long term, a loss of our current prosperity. To believe otherwise would be nonsensical. The solution lies in a joint effort toward collective action: cooperation between governments and regulators, industry, start-ups, and research institutions to create practical, ethical, and scalable AI solutions.
At Merantix Momentum, we see every day how much can be achieved when experts from science, business, and entrepreneurship come together. AI must be a tool that strengthens organizations, improves processes, and empowers people—always adapted to the values and needs of society. The most effective solutions arise when different perspectives and skills come together. Together, we can turn complex AI challenges into real impact, improve healthcare, accelerate innovation in the pharmaceutical industry, and promote economic resilience. The transformation is already here, and our future depends on whether we shape it together or remain at its mercy.
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