Mo Believes AI is Essentially a Writing Assistant Empowering Humans Rather Than Disrupting Everything
Mo stated on social media that the core of the AI revolution lies in automated writing, including forms such as essays, poetry, code, and mathematics, which is extremely fast but fundamentally remains a high-level writing and research assistant.
He believes that exaggerating this to the view of "everything being disrupted" is overly dramatic and irrational; on the contrary, AI provides every human with a powerful writing/research assistant, which is the actual scope of the current revolution, proven through practical use.
This viewpoint resonates among developers and industry observers, reflecting a rational return to expectations of AI from sci-fi-style disruption to practical productivity tools, prompting businesses and individuals to more pragmatically assess AI investment returns.
Source: Public Information
ABAB AI Insight
Mo has long observed the application of AI tools in development and content creation, having participated in discussions on multiple AI products. This commentary continues his consistent pragmatic perspective, with similar views previously appearing in analyses of workflow tools like Claude Code and Cursor, emphasizing the amplification of human capabilities rather than replacement.
In terms of capital pathways, AI companies reduce marginal labor costs through large-scale deployment of writing/coding assistants, while converting user engagement into subscription revenue and data feedback loops. Companies optimize internal processes rather than replacing all employees, with funding shifting from general large models to investments in vertical, efficient assistant tools.
Similar to the early enhancement of knowledge work by word processing software and search engines, as well as the gradual penetration of GitHub Copilot in coding; AI is currently transitioning from hype-driven to practical assistant control.
Essentially, this is a technological substitution: AI automates repetitive cognitive labor in writing, enhancing human output efficiency through speed and scale, reconstructing the productivity chain, with pricing power shifting from mere model capacity to assistant platforms that can deeply integrate human workflows and continuously iterate, rather than causing unemployment across the industry.
ABAB News · Cognitive Law
Automated writing is not the endpoint, but the starting point: the stronger the tools, the more human thinking needs to upgrade.
Assistants amplify rather than replace their masters: no matter how fast AI writes, direction and judgment are still determined by humans.
Exaggerating disruption leads to a new bubble: rationality as a productivity lever is essential for success in compounding.