In a recent LinkedIn post, John Cutler discusses a critique he’s received regarding the accessibility of his work and shares an experiment aimed at improving this by mapping narrative arcs. Cutler focuses on the evolving landscape of Artificial Intelligence, specifically examining the dichotomy between “single-player” and “multiplayer” AI experiences.
Understanding the “Access” Critique
John Cutler acknowledges a fair point from his audience: his writing can sometimes be challenging to fully grasp or connect with immediately. To address this, he has been engaging in mentorship and coaching, leading to an experimental approach to present his ideas more cohesively.
“I recently received some mentorship/coaching, and one of the experiments we landed on is trying to capture arcs in my writing to help people see how it all holds together.”
This initiative, as Cutler explains, is designed to help readers follow the threads and connections within his analyses, making his insights more digestible and actionable. The current exploration into AI serves as a prime example of this new method.
Single-Player vs. Multiplayer AI
Central to Cutler’s analysis is the distinction between two primary modes of interacting with AI. He frames “single-player AI” as tools or systems that an individual uses independently to achieve a specific task or enhance their personal productivity. This could range from using an AI writing assistant for drafting an email to employing an AI image generator for creative work.
In contrast, Cutler defines “multiplayer AI” as systems designed for collaboration, where multiple users interact with the AI and each other within a shared environment. This could involve AI facilitating team communication, managing group projects, or enabling collective problem-solving.
The Implications of AI Interaction Models
According to John Cutler, understanding this distinction is crucial for businesses and individuals alike as AI becomes more integrated into various aspects of work and life. He suggests that the design and application of AI tools will significantly differ based on whether they are intended for solitary use or collaborative engagement.
“Here is a recent arc focused on AI and the theme of single-player vs. multiplayer AI.”
Cutler implies that the development of “multiplayer AI” presents unique challenges and opportunities, particularly in fostering effective human-AI-human collaboration. As he notes, the way AI mediates interactions between people could fundamentally change team dynamics and organizational structures.
The Future of AI Collaboration
John Cutler’s exploration invites readers to consider how these different AI paradigms will shape future workflows and innovation. By breaking down complex topics into discernible narrative arcs, Cutler aims to make his thought-provoking perspectives on AI more accessible, encouraging a deeper understanding of its potential impacts.
He argues that while single-player AI can boost individual efficiency, the true transformative power of AI might lie in its ability to enhance collective intelligence and collaborative endeavors through well-designed multiplayer systems.
📝 About This Content
This article is based on insights shared by John Cutler on LinkedIn.
📅 Originally posted on April 25, 2026 | View original post on LinkedIn →