Emerging: specialisation and edge AI
Generative AI is becoming more tailored to domains such as law, finance and coaching. At the same time, processing is moving onto phones, vehicles and wearables, reducing latency, improving privacy and enabling new real-time applications.
- Domain-specific applications
- Processing closer to the data source
- Stronger focus on regulation and ethics
Enduring: transparency and collaboration
Explainable decisions remain essential, particularly in regulated industries. Language models are becoming more nuanced, yet their most valuable role is still collaboration between people and AI—not the wholesale replacement of human work.
Disappointing: maturity and trust
Autonomous driving continues to lag behind expectations. Privacy questions slow generative AI, and service chatbots still fail too often on complex requests. Good solutions therefore need clear boundaries and a reliable handover to people.
Next: impact in real systems
The outlook includes broader AI use for climate and energy, faster biomedical research, more interoperable platforms and increasingly personalised digital experiences.
- Climate and environmental solutions
- Biomedical research
- Interoperable platforms
- Personalised applications