A Cyberpunk 2077 perspective on the prediction and understanding of future technology
Science fiction and video games have long served as valuable tools for envisioning and inspiring future technological advancements. This position paper investigates the potential of Cyberpunk 2077, a popular science fiction video game, to shed light on the future of technology, particularly in the areas of artificial intelligence, edge computing, augmented humans, and biotechnology. By analyzing the game’s portrayal of these technologies and their implications, we aim to understand the possibilities and challenges that lie ahead. We discuss key themes such as neural links and brain–computer interfaces, multimodal recording systems, virtual and simulated reality, digital representation of the physical world, augmented and AI-based home appliances, smart clothing, and autonomous vehicles. The paper highlights the importance of designing technologies that can coexist with existing preferences and systems, considering the uneven adoption of new technologies. Through this exploration, we emphasize the potential of science fiction and video games like Cyberpunk 2077 as tools for guiding future technological advancements and shaping public perception of emerging innovations. • Cyberpunk 2077 offers insights into AI, edge computing, biotech, and augmented humans. • Key developments include BCIs, multimodal systems, VR, and AI-driven appliances. • There is a growing need for technologies compatible with existing infrastructure. • Sci-fi games like Cyberpunk 2077 help shape public views on future innovations.
Authors
- Miguel Bordallo López (ORCID: https://orcid.org/0000-0002-5707-9085)
- Constantino Álvarez Casado (ORCID: https://orcid.org/0000-0002-3052-4759)
Institutions
- University of Oulu (FI)
Publication Details
- Journal
- Entertainment Computing
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1016/j.entcom.2025.100952
- Citations
- 1
- Primary Topic
- Innovation, Sustainability, Human-Machine Systems
- Type
- article
- Field-Weighted Citation Impact
- 4.20
Funders
- Academy of Finland