Understanding the Global Trends of 2025 Through the Defly Compass Methodology
This study aims to identify and synthesize the major global trends that shaped 2025 by applying the DeflyCompass methodology to a curated corpus of strategic foresight reports. The study synthesizes insights from 23 strategic reports published by leading international organizations, including the World Economic Forum, Accenture, Euromonitor, and major technology firms. Methodologically, DeflyCompass operationalizes a structured hybrid human–AI pipeline comprising the deployment of multi-agent AI systems, automated knowledge graph construction, semantic clustering, and hybrid human–AI validation processes, reducing an initial set of 816 preliminary signals to a validated catalog of 50 high-priority trends across six PESTEL domains: Political, Economic, Social, Technological, Environmental, and Legal/Governance. Key findings indicate that artificial intelligence functions as a systemic enabling technology across all domains, climate and sustainability imperatives permeate multiple domains, geopolitical fragmentation introduces systemic tension, and trust deficits emerge as a critical vulnerability. The study contributes a replicable and scalable framework for global-level strategic foresight that operationalizes human–AI integration within a rigorous expert-driven validation process, complementing existing hybrid analytical approaches in the literature. Implications extend to decision-making in technology governance, sustainability strategy, social adaptation, and scenario planning, highlighting the necessity of integrating AI augmentation with human expertise for effective future-oriented planning.
Authors
- Antonia Ferrer-Sapena (ORCID: https://orcid.org/0000-0001-6432-917X)
- Mabel López Bordao (ORCID: https://orcid.org/0009-0009-0575-2096)
- Enrique A. Sánchez Pérez
- Carlos A. Reyes Pérez (ORCID: https://orcid.org/0009-0002-6829-1150)
Institutions
- Universitat Politècnica de València (ES)
Publication Details
- Journal
- Big Data and Cognitive Computing
- Published
- 2026-04-17
- DOI
- https://doi.org/10.3390/bdcc10040124
- Primary Topic
- Innovation, Sustainability, Human-Machine Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Generalitat Valenciana