AI memory is currently siloed within individual platforms (e.g., ChatGPT’s memory does not exist in Claude). This creates a “context transfer” tax, where users must repeatedly re-explain their background, constraints, and past decisions to every new tool or session.
The primary obstacle to true AI productivity is not the intelligence of the models themselves, but the lack of shared, persistent context across different AI ecosystems.