As AI continues to evolve, there is growing speculation about its ability to perform complex cognitive tasks that traditionally require human-like understanding and contextual awareness. This question focuses on the capability of AI models to autonomously generate accurate, multi-pages (e.g. 15% of the book's original length) and complete summaries of full-length books, which involves not only extracting key points but also understanding narrative nuances and thematic depth with little human supervision.

Key considerations for this forecast include:

• Technological progress: how quickly can current AI models evolve to handle sophisticated summarization tasks that go beyond current capabilities?

• Common availability: will such models be accessible to the general pubblic - i.e. between early and late majority of the Technology adoption life cycle?

• Accuracy and completeness: the AI model must not only generate summaries but do so with a high degree of accuracy and completeness, comparable to human-generated summaries.