This paper investigates how individual entrepreneurs can turn creative ideas into successful solo businesses in an era increasingly shaped by Artificial Intelligence (AI) agents. It highlights the key steps that connect personal vision, structured experimentation, and lasting value creation, and shows how AI agents can act as digital co-founders throughout this journey. Building on research in entrepreneurship, creativity, and innovation, we present a framework with three key stages: (1) Imagination shaping, where vague goals become clear value propositions, supported by AI agents that help with market scanning, idea refinement, and rapid concept generation; (2) Reality testing, where these ideas are tested through low-cost experiments, structured feedback loops, and efficient execution, with AI agents automating tasks such as prototyping, content creation, customer interaction, and data analysis; and (3) Reality scaling, where successful ideas are transformed into repeatable processes, scalable market strategies, and long-term business models, increasingly operated and optimized by autonomous or semi-autonomous AI workflows. We focus on the specific context of solopreneurship, characterized by limited human resources, complete accountability for decision-making, and a strong association between the founder's identity and the business. The framework clearly identifies key enabling factors such as mental adaptability, effective planning, and successful human-AI collaboration within digital ecosystems. It also thoughtfully addresses ongoing challenges, like uncertainty and cognitive overload, which are heightened by our constant connectivity.
翻译:本文探讨了在日益受人工智能(AI)智能体影响的时代,个体创业者如何将创意想法转化为成功的单人企业。文章强调了连接个人愿景、结构化实验和持久价值创造的关键步骤,并展示了AI智能体如何在整个过程中充当数字联合创始人。基于创业学、创造力和创新领域的研究,我们提出了一个包含三个关键阶段的框架:(1)想象力塑造阶段,模糊的目标转变为清晰的价值主张,由AI智能体辅助进行市场扫描、想法精炼和快速概念生成;(2)现实测试阶段,这些想法通过低成本实验、结构化反馈循环和高效执行进行验证,AI智能体自动化执行原型设计、内容创作、客户互动和数据分析等任务;(3)现实扩展阶段,成功的想法转化为可重复的流程、可扩展的市场策略和长期商业模式,并逐渐由自主或半自主的AI工作流操作和优化。我们聚焦于单人创业的特定情境,其特征包括有限的人力资源、决策的完全责任承担,以及创始人身份与企业之间的紧密关联。该框架明确指出了关键赋能因素,如心智适应性、有效规划以及数字生态系统内成功的人机协作。同时,文章深入探讨了持续存在的挑战,例如不确定性和认知超载,这些问题因我们持续的互联性而加剧。