This paper aims to analyze technological, economic, ethical, and political dimensions by designing multiple future scenarios and applying backcasting for pathway analysis, thereby Mapping a blockchain and AI-driven academic ecosystem over the next 20 to 200 years. It fills a research gap in the integrated theoretical framework, power evolution studies, and ethical research related to their coexistence.
The primary scenarios are divided into two: power transition (2030-2050) and technological transformation (2030-2200).
The first scenario is set against a backdrop in which traditional publishers’ restrictions on knowledge dissemination triggered the Open Access movement. However, publishers soon capitalized on the movement by imposing high APCs, resulting in a new form of centralized monopoly. This cycle reveals persistent structural power imbalances. The emergence of blockchain and artificial intelligence brings renewed hope. These technologies are seen as potential tools to disrupt entrenched power structures, enabling a shift toward decentralized, co-governed, and transparent academic publishing—ultimately realizing a more authentic form of open access. the author envisions an ideal future in which a decentralized academic community forms the core, while centralized commercial services operate at the periphery as supportive infrastructure.However, the transition to such a system faces significant obstacles—including institutional inertia, resistance from capital interests, and technical barriers. Reflecting on past movements and stakeholder motivations may reveal more pragmatic strategies. One such approach is "parasitic transformation".
The second scenario explores the implications of embodied intelligence and brain-computer interfaces for academia, society, and ethics in 200 years.

Keywords: blockchain, artificial intelligence, decentralized, strategic foresight, publishing, academic, peer review, open access, dao，brain-computer interface