Future Trends

• LLM-based in-vehicle assistants: More conversational, context-aware assistants will become standard.

• Generative design as a norm: Using GenAI for structural, aerodynamic, and material design will become more widespread.

• Synthetic data for simulation: Synthetic-driving-data generation (via GANs, digital twins) will play a big role in training AV systems.

• Hybrid deployment models: Combining cloud + edge AI for real-time inference + heavy computation.

• AI-native automotive software stacks: As vehicles become more like “computers on wheels,” generative AI could be integrated deeply into the software stack (for debugging, updates, feature generation).