PANEURAMA’s new Guidelines & Recommendations translate three years of research into practical priorities for education, industry, young professionals and policymakers navigating technological change.
Technological change is accelerating across Europe’s animation, games and VFX industries. Generative AI is entering creative and production workflows, real-time technologies are reshaping pipelines, and the boundaries between disciplines and sectors are becoming increasingly fluid. These developments create significant opportunities, but they also raise important questions about how creative professionals should be educated, supported and prepared for careers in which technological change will remain a constant.
PANEURAMA’s third and final research report examined these questions through three years of research involving 107 in-depth interviews and more than 330 survey respondents. One conclusion emerged particularly strongly: as technology becomes increasingly capable, the foundational knowledge, creative judgement and human agency of the people directing it become more important, not less.
The accompanying Human First: Leading the Machine — Guidelines & Recommendations translates these findings into practical guidance, asking what education, industry, young professionals and policymakers can do now to build a creative sector capable of adapting to continued technological change.
Building capabilities that endure
Rather than attempting to predict which individual technologies will define the next decade, the Guidelines identify six enduring capabilities that can support long-term resilience: foundational knowledge, lifelong learning, T- and M-shaped professional development, distinctive creative identity, human-led use of AI, and systemic adaptation rather than technology adoption.
Together, these principles reflect a central argument running throughout the PANEURAMA research: technological readiness cannot be achieved simply by adding new software or AI competencies to an expanding list of professional requirements. Tools and workflows will continue to change, while the deeper capabilities that allow people to understand, evaluate and adapt to them remain transferable throughout a career.
For education and training providers, this means protecting strong artistic, technical and critical foundations while helping students become increasingly independent learners. AI has a place within education, but its use should strengthen rather than bypass the learning process, with greater emphasis placed on reasoning, critique, creative decision-making and understanding alongside final outputs. Stronger and more sustained relationships between education and industry can also help curricula remain connected to professional practice without requiring institutions to chase every technological development.
For industry, technological transformation must also be understood as a workforce challenge. Recruitment and professional development should recognise adaptability, curiosity, communication, creative judgement and learning capacity alongside technical proficiency. This is particularly important at entry level, where the automation of routine tasks risks reducing some of the opportunities through which junior professionals have traditionally learned their craft. Protecting meaningful junior pathways is therefore not only about employment; it is also about ensuring that the industry continues to develop the experienced professionals it will need in the future.
For students and young professionals, the emphasis is on developing capabilities that can travel between technologies, roles and sectors. Strong foundations, software independence, curiosity, professional relationships and an understanding of the wider creative ecosystem can all contribute to longer-term resilience. At the same time, as AI makes technically competent and generic content easier to produce, distinctive creative identity becomes increasingly valuable. The Guidelines therefore encourage emerging professionals to consider not only what they can produce, but what experiences, perspectives and ideas make their contribution recognisably their own.
For policymakers, the recommendations broaden the concept of technological investment. European competitiveness will require infrastructure and innovation, but it will also depend upon investment in creative education, lifelong learning, entrepreneurship, artistic development, professional mobility and stronger connections between Europe’s regional creative hubs. The Guidelines further argue for animation, games and VFX to be recognised as strategic infrastructure, reflecting the growing contribution of their technologies and expertise to fields including healthcare, science, education, simulation, manufacturing and architecture.
Keeping technological development human-led
Across all four stakeholder groups, the Guidelines return to the principle of human-led AI. The objective is neither to resist emerging technologies nor to adopt them unquestioningly, but to create conditions in which technology extends human capability while people retain responsibility for intention, judgement, ethics and creative direction.
This responsibility also extends beyond the creative process. The Guidelines identify the environmental demands associated with AI infrastructure as part of responsible technological adoption, arguing that AI literacy should include awareness of computational, energy and resource costs alongside questions of copyright, intellectual property and ethical practice.
Ultimately, Human First: Leading the Machine asks Europe’s creative industries to think beyond the immediate question of which technologies to adopt and consider the people and systems required to use them well. As tools continue to evolve, long-term resilience will depend upon strengthening the knowledge, curiosity, adaptability and creative judgement that allow professionals to remain active participants in determining what technological change produces.
Explore the full PANEURAMA Human First: Leading the Machine – Guidelines & Recommendations for practical recommendations for Education & Training, Industry Stakeholders, Young Professionals & Students, and Policy Makers.
