According to Paolo Ardoino, the future of model training in AI will require fewer GPUs, reducing costs significantly. This development will likely influence cryptocurrency trading by decreasing operational expenses, facilitating more efficient data processing. Ardoino emphasizes that access to data remains crucial, suggesting that trading platforms should prioritize data acquisition to maintain a competitive edge. The transition to local or edge inference could lead to faster decision-making processes in trading environments, enhancing real-time trading capabilities.