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I first came across ChatGPT at the beginning of 2023, during my bachelor’s studies. At that time, I had to write an essay and felt stuck on how to structure it properly. Out of curiosity, I decided to test ChatGPT, which was still relatively new to most students. To my surprise, it gave me a clear outline and suggestions for different angles I could take. It didn’t “do the work” for me, but it provided a helpful framework that allowed me to organize my thoughts more efficiently. That first encounter made me realize that AI could be more than a fun experiment, it could actually serve as a learning partner.

Since then, my use of AI tools has grown in both frequency and diversity. ChatGPT became a regular study companion for brainstorming, drafting and even getting feedback on assignments. When I was working on more demanding projects, such as my thesis, it also helped me with learning Python. For someone without a coding background, being able to ask ChatGPT to explain scripts in simple terms or generate a basic function was very useful. It allowed me to focus on the analysis and interpretation rather than getting stuck on the technical details.

Of course, I’ve also learned the limitations the hard way. ChatGPT can sometimes “hallucinate,” meaning that it produces information that sounds very confident but is actually completely inaccurate (Hua et al., 2023). This forced me to develop a cautious approach, treating it as a supportive tool but not as the final authority. It has been a reminder that, while AI can accelerate the learning and problem-solving, critical thinking and fact-checking still are very essential.

Beyond ChatGPT, I’ve explored other forms of generative AI as well. One notable example was using Lookx.ai for work, a platform that generates 3D designs (LookX AI Cloud, 2025). We used it to model tiny houses, which was both exciting and practical. Instead of relying on time-consuming manual design, the tool allowed us to quickly test out visual concepts and bring abstract ideas to life. Seeing how AI could streamline creative design processes made me realize just how much these technologies cqn do, which extends beyond education into professional and even artistic domains.

Looking back, my experience with generative AI has been a mix of excitement, productivity and careful reflection. I see it as an “augmenter” of human capability rather than a replacement. It has helped me overcome creative blocks, learn faster and to test ideas that would have otherwise taken much longer. At the same time, it has also taught me to remain critical, aware of biases and inaccuracies and to be responsible in how I apply these tools.

For the future, I think personalization will be key. Current tools are very powerful but still generic, they don’t always capture the individual preferences or working styles. A truly transformative step would be systems that adapt to each user over time, much like a colleague who understands your way of thinking. That’s where I see the real potential of AI, not just as a smart assistant, but as a trusted collaborator.

References:
Hua, S., Jin, S., & Jiang, S. (2023). The Limitations and Ethical Considerations of ChatGPT. Data Intelligence, 6(1), 201–239. https://doi.org/10.1162/dint_a_00243

LookX AI Cloud. (2025). https://www.lookx.ai/

Image credit: https://silva.builders/

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One of the rising themes in today’s technology landscape is digital disruption, where the established ways of doing business are being reshaped by new technologies, rules and competitors. In Europe, this disruption is more and more linked to the idea of digital sovereignty, that reduces the reliance on non-European providers and to build homegrown alternatives in areas like artificial intelligence, cloud services and data sharing.

An example is ASML’s $1.5 billion investment in French AI startup Mistral, giving it an 11% stake (ASML, 2025). This move shows a shift away from the heavy dependence on U.S. and Chinese companies for advanced AI. By linking the semiconductor industry with a European AI innovator, it opens the door to new ecosystems that could change the global balance in both hardware and software.

Cloud computing is another area that is facing disruption. Many European firms are reconsidering their dependence on big provides like Amazon Web Services and Microsoft Azure (Reuters, 2025). Rising concerns about data governance, privacy and compliance with EU regulations such as GDPR and the Digital Services Act are pushing organizations to explore regional cloud providers. This shift challenges the dominance of global platforms and it introduces new competition, that could potentially reshape the economics of cloud services in Europe.

Another example is the rise of data space frameworks like those created by the iSHARE Foundation. iSHARE sets common rules and standards that make it possible for organizations to share data safely and transparently across different sectors (iSHARE, 2025). Instead of the traditional model where big companies control closed data platforms, this approach supports open and federated systems. It encourages collaboration while ensuring that trust and control remain with the participants.

Together, these examples show that digital disruption in Europe is not just driven by new technologies but also by governance, regulation and changing priorities. The established global players face challenges from emerging European alternatives, while new frameworks are changing the way businesses think about data, platforms and partnerships.

References
ASML, Mistral AI enter strategic partnership. (2025, 9 september). ASML. https://www.asml.com/en/news/press-releases/2025/asml-mistral-ai-enter-strategic-partnership

iSHARE. (2025). iSHARE. https://ishare.eu/

Reuters. (2025, 17 april). European firms rethink cloud provider choices amid trade war, OVHCloud CEO says. Reuters. https://www.reuters.com/technology/european-firms-rethink-cloud-provider-choices-amid-trade-war-ovhcloud-ceo-says-2025-04-17/Reuters