During a recent discussion on the evolving nature of work in the age of artificial intelligence, Dan Schipper, CEO and founder of EVERY, shared a compelling perspective on the paradox of AI. It’s about how increased automation will increase human work, not reduce it. Schipper, who was hailed as a visionary on the adoption of AI coding tools in a previous podcast appearance, detailed his predictions for the future of work, focusing on the rise of AI agents and their integration into daily workflows.
The AI paradox: More automation, more work — from Lenny’s podcast
Visual TL;DR. The paradox of AI automation leads to the emergence of AI agents. AI Agents Emerge enables task delegation. AI Agent Emerge allows you to restructure your workflows. Delegating tasks increases human effort. Restructuring of workflows increases human work. The paradox of AI automation drives the evolution of work. Work evolution considers the human element.
The AI automation paradox: More automation may require more human work
The emergence of AI agents: essential colleagues accessible through familiar platforms like Slack
Delegate tasks: Individuals can delegate a wide range of tasks to AI agents.
Reinventing workflows: Integrating AI agents into everyday tools and workflows
Increased human work: Human involvement likely to increase despite automation
The evolution of work: Fundamental changes in how teams operate and collaborate
Human element: The importance of human power in the AI era
Visual TL;DR
AI agents as colleagues
Schipper predicts that the way we work will fundamentally change in the coming years, splitting into two main paths. First, he predicts a future where every team will have at least one AI agent and individuals will be able to delegate tasks. These agents are often accessed through familiar platforms like Slack and can become indispensable colleagues who can handle a huge range of tasks. He highlighted that companies like Shopify and Ramp are already deploying such comprehensive AI agents and are demonstrating an important trend.
He further elaborated on the concept of these agents, drawing parallels with the development of tools such as Codex and Co-work. The key insight is that these AI agents run on a user’s computer or in a cloud environment, have access to a wealth of information, and can perform tasks that were previously time-consuming or complex for humans. Schipper emphasized that the success of these agents depends on human oversight and cooperation, suggesting that the most effective AI agents are those that can work seamlessly with humans to understand context and provide valuable insights.
Evolution of work and the role of AI
Shipper’s second major prediction focuses on integrating AI directly into computing environments. He suggests that AI will become a fundamental part of operating systems and change the way we interact with software. Tools like Codex, with its in-app browser and ability to access a user’s entire computer, are paving the way to this future. Schipper noted that while early versions of AI coding tools were highly technical, newer versions are more accessible and can be adapted to a wide range of tasks, including those traditionally considered non-technical.
He emphasized the shift from AI being a separate tool that users must actively seek out and manage, to AI becoming part of an integrated, largely invisible workflow. This means that instead of users having to learn complex prompts or manage separate AI applications, AI is built into the tools they already use, like email clients and document editors. This seamless integration will make AI more powerful and pervasive in our daily work, he argues.
The human element in the AI era
A key point made by Shipper is the enduring importance of human connection and oversight in AI-driven workplaces. He emphasized that while AI agents can efficiently handle many tasks, they still require human input and understanding to be truly effective. The human ability to consider the AI’s output and guide its actions is paramount. He also touched on the idea that as AI models become more sophisticated and independent, the nature of human work may shift to more specialized roles that require creativity, critical thinking, and emotional intelligence, areas in which humans still excel.
Shipper’s predictions paint a picture of a future where AI does not replace humans, but augments them, creating a more efficient and productive work environment. He emphasized that companies that embrace this human-AI collaboration and take an integrated approach to building products will succeed in the evolving technology landscape.
