Future Potentials Observatory - FPO

19/08/2026

AI is moving fast. Are we keeping up?

AI is reshaping work, education, business, science and geopolitics while public trust struggles to keep pace. So the question is no longer simply what AI can do. It is what its rapid evolution is doing to us and what kind of future we are creating around it.

Introducing Lobster in the Loop, FPO’s new biweekly AI-horizon newsletter.

The future does not arrive all at once. It emerges through signals.

Explore the inaugural issue here.

27/04/2026

We are excited to share that Zoltán Krajcsák and Gyula Bakacsi have published a new article in the Journal of Modelling in Management.

“Multi-level theoretical framework for future potential organizations: values, culture, and development orientation” introduces a novel, integrative framework designed to better understand complex future-oriented systems across multiple levels. The study contributes to advancing how we conceptualize and model interconnected phenomena, offering new pathways for both research and practical decision-making.
By bridging different levels of analysis and perspectives, the paper supports a deeper, more systemic understanding of future potentials – an increasingly critical capability in today’s rapidly changing world.

Read the full article: https://www.emerald.com/jm2/article/doi/10.1108/JM2-07-2025-0338/1361165/Multi-level-theoretical-framework-for-future

Congratulations to the authors on this important contribution!

Purpose. This study aims to focuse on future potential organizations (FPOs). We seek to answer the question of which individual, interpersonal and organizational factors, capabilities and values are the most important predictors of the functioning of FPOs.Design/methodology/approach. This being a co...

13/04/2026

We are delighted to share the latest research by Amira Mouakher, Nuno Morgado, and Farah Ftouhi, “LLM4Geopolitics: A Framework Leveraging Large Language Models for Predicting Geopolitical Events,” published in Expert Systems.

The paper introduces an innovative framework that combines large language models (LLMs), retrieval-augmented generation, and knowledge graphs to enhance the prediction and interpretation of geopolitical events.

🌍 Key highlights:
• Leveraging LLMs for real-time geopolitical analysis
• Improving prediction of unrest, economic shocks, and diplomatic shifts
• Bridging the gap between complex models and decision-ready insights
• Enhancing interpretability and contextual awareness in forecasting

Congratulations to the authors on this outstanding and inspiring contribution! 👏

🔗 Read the full paper:
https://onlinelibrary.wiley.com/doi/10.1111/exsy.70258

The accelerating infusion of advanced computational methods into geopolitical analysis has created new opportunities to anticipate unrest, economic shocks and diplomatic shifts. Traditional machine l...