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Artificial intelligence consumes enormous amounts of energy, and this is where a radical idea comes in: Why continue to operate data centers on Earth when they could work much more efficiently in space? In orbit, there would be no night, no weather, no power outages, but instead unlimited solar energy and perfect conditions for high-performance computers. The idea that future AI systems could be trained in space sounds like science fiction, but it has long been part of serious considerations by leading tech visionaries.
The idea of gigawatt-powered data centers floating above the Earth, feeding neural networks non-stop, is both fascinating and unsettling. On the one hand, it would be a quantum leap for the efficiency and sustainability of AI infrastructures. On the other hand, it opens up a whole new chapter of technical and ethical questions: Who controls such facilities? How secure is the flow of data between Earth and space? And what happens if something goes wrong up there?
These are still future scenarios, but not distant ones. In the coming decades, data centers could indeed transcend the boundaries of Earth. The idea that the driving force behind AI development will soon no longer be on our planet but orbiting above it impressively demonstrates how rapidly technology and imagination are driving each other forward.
Link to the original article : aimagazine.com/news/jeff-bezos-why-space-could-be-the-fut...
Everything is happening so quickly in regards to the tools I use and the dashboards I use to stay ahead of deadlines. I want to automate more processes, perhaps offering control to an AI of my social media accounts and email accounts. But I am worried about what that entails.
People I trust point to the automation cliff. That is a place where systems can enhance my efficiency while reducing human error. Some people think advances in AI and robotics will lead to widespread job automation by the late 2020s. I don't believe humanoid robots will be serving me pints but I can fathom how improved generative AI will revolutionize many facets of my life.
I'm curious about what others who are inside the RUNEUAI programme think about artificial intelligence in their lives and if they feel the same need for regulatory changes as our workforce employs more machine learning to allow us to reduce some of the cognitive load on ourselves.
Kevin Kelly, author of The Inevitable, introduced me to this line of thought in 2016. I have a dog-eared copy of his book.
Someone with basic AI skills can get much more done during the day than someone who writes code the way I learned with punch cards in the 1970s. And things have changed dramatically since I started paying to use AI in 2023.
I talk to graduates every week who tell me their companies are looking for people with basic AI skills. I hear those conversations from start-ups that have great ideas but not enough time to build them.
As more businesses adopt AI, I expect the talent shortage will grow as well. I review the most advanced syllabi that I used to teach as a university lecturer and I know fourth year students who are on the treadmill that leads to the job market now face a more challenging on-ramp to employment. And they may look at jobs that do not involve skills they learned while earning an Honours Degree. This is why Andrew Ng can share stories of unemployed software development graduates and also anecdotes of rising salaries for in-demand AI engineers.
Discovering the power of AI video creation through the RUNEUAI programme has transformed my workflow and elevated my presentations to a new level. What once started with static images has now evolved into dynamic, professional videos that capture attention and communicate ideas with impact. Learning how to use AI tools for this task was a game-changer—I can engage my audience with visuals, data streams, and seamless storytelling.
This enhancement has not only saved time, but also unlocked creativity and new opportunities for collaboration. I’m excited to keep exploring digital transformation and see where AI can take my work next!
#DigitalTransformation #RUNEUAI #AIworkflow #VideoCreation #Innovation #Presentations #VisualStorytelling
I’m a 22-year-old student currently studying Business with Event Management at TUS Athlone. Life is pretty full-on between college, playing Gaelic football, and working in retail.
I have recently developed an Interest in AI and how i coluld use this in college and work, os going on this Run-Eu trip "AI in workflows" is allowing me to expand my knowledge and use AI ethically .
Artificial Intelligence is rapidly evolving from a supportive tool to an active decision-maker in the medical field. A recent study by Yan Jia et al. (2025) introduces the concept of “delegated AI autonomy” — a framework where AI systems can make independent decisions in low-risk, well-defined cases, such as routine diagnostics or standard treatment pathways. This approach aims to reduce clinician workload while maintaining accuracy and efficiency.
Rather than replacing human professionals, delegated autonomy reframes AI as a teammate within healthcare systems. In this model, AI takes responsibility where appropriate but always under human supervision. The study highlights the need for transparency, explainability, and clear regulatory boundaries, ensuring that ethical and complex decisions remain in human hands.
In the long run, this balanced integration of human expertise and machine intelligence could make healthcare more responsive, precise, and sustainable. Delegated autonomy provides a roadmap for how we might redefine trust, accountability, and collaboration in digital medicine — pushing the boundaries of innovation without compromising safety.
Since the RUNEUAI program, I've discovered two real workflow superpowers: AI videos and AI slides. Before, presentations and short video updates for projects were always a huge time sink. Now, things look very different. I type in a few keywords, and boom, the AI generates complete slides that look like I spent hours fine-tuning them. No more blank PowerPoint slides staring back at me. Instead, I get clear outlines, appropriate visuals, and wording that works right away.
The same thing is now happening with videos: I just need a concept or rough scene ideas, and the AI builds a short, good-looking video from them. Perfect for project updates, teaching content, or small creative experiments. In the past, I would have spent what felt like forever fiddling around in editing programs – now I can just jump right into telling stories, explaining things, and trying things out.
The RUNEUAI program has not only simplified my workflow, but also expanded it. AI works for me in the background, while I have more time for the really exciting parts: developing ideas, refining content, and finally presenting my projects the way they deserve to be presented.
Image created with Canva AI
#DigitalTransformation #RUNEUAI #AIworkflow #VideoCreation #Innovation
Here’s how I use ChatGPT to fill out my Ideal Client Profiler and get interesting insights on my target client.
First, I gather all existing company data on demographics and interests (age, location, profession) from surveys or CRM sources and enter it into the Profiler as a foundation.
Then, I use ChatGPT to suggest what typical previous purchases or actions the client might have made before interacting with my offer. Moving on, I prompt for their key purchase drivers: motivations and triggers that would prompt action.
I then have ChatGPT develop “before and after” scenarios. I prompt for specific descriptions of what my ideal client has, feels, and does, both before and after engaging with my service, letting ChatGPT build on the data already collected.
Next, I have ChatGPT imagine a “day in the life” of my client, exploring daily routines and emotional states that would fit those demographics and interests. To understand underlying values, I ask ChatGPT to brainstorm the client’s core beliefs and what they stand for or reject (the “Good vs. Evil” section).
I systematically ask for the main frustrations, fears, wants, and aspirations based on my product or service. After each answer, I refine the information with ChatGPT, deepening each section before moving on.
Examples of prompts I enter ChatGPT:
“What are the main frustrations and fears experienced by this client before trying my solution?”
“Write a short journal entry representing a typical day for this client (before and after) using my product.”
“Which values or worldviews are most important to this client?”
“List the main goals and aspirations that would drive this client to seek my services.”
After gathering draft answers, I review and refine each section interactively with ChatGPT. I ask for clarifications, deeper examples, and alternative perspectives as needed to complete and enrich the profiler.
To validate the final result, I use persona-based scenarios with ChatGPT (e.g., “Act as if you are my ideal client. How would you perceive this marketing message?”) to test the resonance and refine my communication.
The image was created with Adobe Firefly, using Gemini 2.4. (NanoBanana) model, available at: firefly.adobe.com/
I have improved my use of Excel by discovering the concept of unstructured data and how AI can easily convert it into a structured table.
I did it in www.ubu.es
Hi, I’m Maddy, an international student studying Business.
I have recently been reflecting on my learnings during AI Practical Workflow SAP. One thing that’s truly amazed me, is how AI has transformed the way I approach my studies.
I have learnt to integrate multiple AI tools into my daily studying routine. Tools like ChatGPT, Claude, Gemini, and Copilot have become vital study companions. They help me with research, breaking down difficult concepts to simpler explanations, and creating personalized quizzes to test my understanding. It's like having a tutor available 24/7 who adapts to my learning pace.
If one explanation doesn't click, I can simply ask for another approach or a real-world example, which has been incredibly beneficial for my understanding and recall methods.
During this SAP I have been introduced to tools I never knew existed, such as Napkin AI for visual content creation. The SAP also taught me the importance of crafting better prompts to get more accurate and useful responses and to always double check responses. As someone still developing my workflow strategies, learning to communicate effectively with AI has been a game-changer.
Hi, my name is Vanessa and I am a final year Business with Computing student at TUS.
Recently I have been reflecting on my learnings during this AI Practical Workflow. One thing I must say is that technology is truly beautiful and complex. I am interested to see how it will progress over the years.
I have learnt to adopt AI within my studying, using tools such as ChatGPT and Notebook LM almost as a "personal tutor" in some ways. And it has been really beneficial. It teaches me new materials and also quizzes me on topic to ensure I fully understand the content.
I also love to fact check with ChatGPT whenever I write a sentence for my assigments my go to question is "how can I write this sentence better?" and ChatGPT will always come up with a better way to phrase what I am trying to say.
This SAP has exposed me to many AI tools that I did know existed such as Napkin AI and Invideo AI. It has also helped me improve my prompt writing (as someone who is very lazy with their prompts). I am looking forward to learning more in this SAP.
During the RUNEU course, I explored a wide range of AI tools, including Gamma, Otter, InVideo, and many others, but the one I relied on the most was Napkin.ai. While working on my research paper, I frequently reached points where a graph or visual representation would have strengthened my analysis, yet I rarely had the time to design one from scratch. Napkin.ai became an essential part of my workflow, helping me quickly generate clean, effective graphs that matched exactly what I needed. This image captures that experience of discovering a tool that made my research process smoother, faster, and far more visual.
As a student, I am often under time pressure, especially when spontaneous presentations are due. This is where Gamma, an AI-powered presentation platform, comes in handy. It creates clear, visually appealing slides in just a few minutes from a few keywords. Instead of spending hours building slides, I can focus entirely on the content.
I usually start with a rough outline or simply upload my notes. Gamma automatically structures a presentation from this, suggests suitable visuals, and formulates texts precisely. This not only saves time, but also ensures that my presentations look more professional.
Once the presentation is ready, I adjust the design as needed and have Gamma review the wording again. Thanks to these quick iterations, I can complete presentations for seminars, group work, or project presentations in record time—and have more time for the essentials of my studies.
Image created with ChatGPT