Since Invention of Org Chart Since the 1850s, little has changed in company structures – they remain hierarchical and consist of multiple layers of managers and decision makers. This is because we are limited by the limits of human intelligence and attention to manage and control the flow of work. aye Can change it. In the large language model (LLM), we have a new, foreign form of intelligence, but one that has served primarily as an assistant at the individual level. In 2025, we will begin to see the first organizations based on a combination of humans and AI working together.
This shift represents a fundamental shift in the structure and operation of our businesses and institutions. While the integration of AI into our daily lives has been very rapid (AI assistant (one of the fastest product adoptions in history), so far, organizations have seen only limited benefits. But the coming year will be a tipping point where AI moves from a tool for personal productivity to a core component of organizational design and strategy.
In 2025, visionary companies will begin to reimagine their entire organizational structure, processes, and culture around the symbiotic relationship between humans and artificial intelligence. It's not just about automating tasks or enhancing human capabilities; It's about creating entirely new ways of working that leverage the unique strengths of both humans and AI. The key to unlocking the true power of LLM lies in moving beyond individual use cases to organizational level integration. While we have seen impressive results from individuals using AI assistants for tasks like writing, coding, and analysis, the real change will come when entire organizations are built around human-AI collaboration.
Startups are leading this campaign. Venture capitalists report a growing trend of portfolio companies that promise to maintain smaller teams of no more than about 30 people, relying on AI to scale their operations without traditional overhead. However, the benefits of this approach may be even more significant for larger, established organizations. These companies have the ability to use AI to remove inefficiencies, unlock new growth from existing talent, and harness the collective intelligence of their workforce in ways that were never possible before.
In 2025, we will see a rise in “AI-native” startups that build their entire operating model around human-AI collaboration from day one. These companies will be characterized by small, highly skilled human teams working together with sophisticated AI systems to achieve outputs that rival much larger traditional organizations.
For larger companies, the journey to becoming an AI-integrated organization will be more complex but potentially more rewarding. These organizations will need to undertake significant research and development efforts to understand how to best leverage AI in their specific context. This process will uncover an important truth: Since AI works less like traditional software and more like a person (even if it isn't one), there is no reason to assume that the IT department has the best AI prompter. Or have a particular insight into the most effective use of AI within the organization.
Thus, while IT will certainly play a key role in implementing and maintaining AI systems, the real use cases and innovations will come from workers and managers across all departments who see opportunities to use AI to enhance their job performance. Let's search for. In fact, for large companies, the source of any real advantage in AI will come from the expertise of their employees, which is necessary to unlock the knowledge and capabilities hidden within AI systems. This realization will democratize the use of AI within some organizations, and they will be the ones leading the change to come.
The organizational structures that emerge from this AI integration will look markedly different from the traditional hierarchies we are accustomed to. We may see the rise of more fluid, project-based structures where teams rapidly form and disintegrate around specific goals, with AI systems acting as connectors and facilitators. Middle management roles may evolve to focus more on human-AI coordination rather than traditional supervisory functions. In 2025, the most successful companies will not be those that have the most advanced AI technologies, but rather those that can most effectively combine human and artificial intelligence to create new forms of value.