Embodying the future

This technology foresight brief documents the process and findings of a horizon scanning exercise, in the context of FUTURINNOV (FUTURe-oriented detection and assessment of emerging technologies and break-through INNOVation) a collaboration between the European Innovation Council (EIC) and the Joint Research Centre (JRC), aiming to support the EIC's strategic intelligence through foresight and other anticipatory methodologies.
The workshop, held online on 19 June 2025, had as its primary goal the evaluation and prioritisation of trends and signals related to emerging technologies and breakthrough innovations across all technology readiness levels (TRLs) within human-like AI systems. Signals for the workshop were gathered from experts, literature review, and text/data mining of patents, publications, and EU-funded projects.
These signals were then scrutinised for their significance to the field's future by a diverse group of sector experts, which led to the identification of twelve key topics: enhancing human-AI collaboration; trustworthy and explainable AI; neurosymbolic AI; general-purpose neuro-symbolic methods; personalised medicine; embodied intelligence; emotion-aware AI; multi-agent frameworks; human-AI collective cognition; brain-inspired AI; addressing AI’s energy demand; and next generation LLMs.
Several contextual factors that shape the development and uptake of AI are highlighted across social, technological, economical, environmental and political and regulatory domains, including: AI literacy; inter-disciplinary and inclusive development of models; benchmarking practices; and sustainability.
The outcomes of this exercise may be used to inform future funding topics for EIC Challenges and other EC calls. They can also provide input for EIC and EC reports, as well as supporting other EU policy initiatives.