Short answer
When designing digital services, consider how AI can be positioned as an active participant (agent) rather than just a background tool (resource) to unlock new forms of value co-creation.
- Field
- Innovation & Design
- Source
- Electronic Markets (2026)
- Method
- Multiple Case Study
- Evidence
- Strong effect
Artificial intelligence is fundamentally changing how value is co-created in digital service ecosystems by introducing non-human participants and altering traditional human-to-human interactions. This innovation & design research insight is drawn from a 2026 study published in Electronic Markets. Using Multiple case study, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing digital services, consider how AI can be positioned as an active participant (agent) rather than just a background tool (resource) to unlock new forms of value co-creation.
AI as a Non-Human Agent Transforms Digital Service Ecosystems
Artificial intelligence is fundamentally changing how value is co-created in digital service ecosystems by introducing non-human participants and altering traditional human-to-human interactions.
Electronic Markets · 2026
Key Findings
- 01AI can function as both a resource and a non-human agent within digital service ecosystems.
- 02Four archetypes of AI in digital service ecosystems were identified: discriminative experience enhancer, protective ecosystem orchestrator, ecosystem innovation companion, and personalized service composer.
Application
Design takeaway
When designing digital services, consider how AI can be positioned as an active participant (agent) rather than just a background tool (resource) to unlock new forms of value co-creation.
How to apply
Analyze your digital service ecosystem and identify opportunities to leverage AI in one of the four identified archetypes to enhance user experience, operational efficiency, or innovation.
Project actions
- 01When exploring AI in your design project, think about whether it's just a tool or if it's actively participating in the service.
- 02Consider how AI can be designed to fulfill one of the identified archetypes to achieve specific service goals.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides a novel taxonomy and archetypes for understanding AI in service ecosystems.
- +Utilizes a robust multiple case study methodology.
Limitations
The archetypes might not perfectly fit every AI application in every digital service, and the research is based on specific case studies.
Reliability & validity
The multiple case study approach enhances external validity by examining the phenomenon across different contexts, while the development of a taxonomy aims to improve the reliability of categorizing AI roles.
Think critically
How might the identified AI archetypes evolve as AI capabilities advance, and what new archetypes might emerge in future digital service ecosystems?
Design Principles
"Design for AI as an active participant in service ecosystems, recognizing its potential to influence value co-creation beyond a purely functional role."
Understanding the evolving roles of AI within these complex ecosystems is crucial for designers and strategists. It allows for the development of more sophisticated and effective service designs that leverage AI not just as a tool, but as an active participant in the value creation process.
What This Means for Your Design
AI is changing how services work by becoming a part of the service itself, not just a tool used to provide it. This means AI can help make things better, protect users, help create new ideas, or create personalized services.
How to use in your project
- 1.Use the identified archetypes to analyze the role of AI in existing digital services or to inform the design of AI-powered features in your own project.
Add to My Project
Quick Cite
Paragraph starter
The integration of artificial intelligence into digital service ecosystems signifies a paradigm shift, moving beyond traditional dyadic interactions to polyadic ones where AI acts not merely as a tool but as a non-human agent. This research identifies four key archetypes—discriminative experience enhancer, protective ecosystem orchestrator, ecosystem innovation companion, and personalized service composer—which provide a framework for understanding and designing AI's multifaceted roles in value co-creation within these complex environments.
Source
Electronic Markets
Artificial intelligence in digital service ecosystems—Towards a taxonomy and archetypes
journal · 2026
View sourceQuestions About This Research
- What does the research say about ai as a non-human agent transforms digital service ecosystems?
- When designing digital services, consider how AI can be positioned as an active participant (agent) rather than just a background tool (resource) to unlock new forms of value co-creation. Evidence: Electronic Markets (2026).
- Why does "AI as a Non-Human Agent Transforms Digital Service Ecosystems" matter for design?
- Understanding the evolving roles of AI within these complex ecosystems is crucial for designers and strategists. It allows for the development of more sophisticated and effective service designs that leverage AI not just as a tool, but as an active participant in the value creation process.
- How can designers apply this research?
- When designing digital services, consider how AI can be positioned as an active participant (agent) rather than just a background tool (resource) to unlock new forms of value co-creation.
- What were the main findings?
- AI can function as both a resource and a non-human agent within digital service ecosystems.. Four archetypes of AI in digital service ecosystems were identified: discriminative experience enhancer, protective ecosystem orchestrator, ecosystem innovation companion, and personalized service composer.
- What research method was used?
- Multiple Case Study.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2026 journal from Electronic Markets.
- What should I do differently in my next project?
- Analyze your digital service ecosystem and identify opportunities to leverage AI in one of the four identified archetypes to enhance user experience, operational efficiency, or innovation.
- What are the limitations?
- The taxonomy and archetypes are based on a specific set of digital service ecosystems and may require adaptation for different contexts.