Neural networks of the future will be able to learn from large amounts of data faster and more efficiently, allowing them to solve more complex problems in real time. They will be able to adapt to new scenarios without the need for complete retraining and will have higher accuracy and reliability in predictions. 
Neural networks will become more autonomous and capable of making independent decisions in different domains, making them certainly more useful and efficient, but also more intimidating.