AI Will Transform into Everyone’s Organizational Strategy

Since the organization chart was invented in the 1850s, corporate structures have changed very little—they are hierarchical and contain multiple layers of managers and decision makers. That’s because we’re bound by the limits of human intelligence and attention to managing and controlling workflow. AI can change that. In the major linguistic models (LLMs), we have a new, different type of intelligence, but one that has primarily served as a facilitator at the individual level. By 2025, we will begin to see the first organizations that build around a combination of humans and AIs working together.

This change represents a fundamental change in the way we build and operate our businesses and institutions. Although the integration of AI into our daily lives has happened very quickly (AI assistants are one of the fastest product acquisitions in history), so far, organizations have seen limited benefits. But the coming year will mark the point where AI moves from being an individual productivity tool to a core part of organizational design and strategy.

By 2025, forward-thinking companies will begin to rethink their entire organizational structure, processes, and culture around the symbiotic relationship between human and artificial intelligence. This is not just about automating tasks or increasing people’s skills; 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 potential 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 such as writing, coding, and analysis, the real revolution will come when all organizations are built around human-AI interactions.

Beginners lead the way. Venture capitalists are reporting a growing trend of portfolio companies promising to maintain lean teams of no more than 30 people, relying on AI to augment their operations without going beyond traditional. However, the benefits of this approach may be even more important for large, established organizations. These companies have the opportunity to use AI to circumvent inefficiencies, unlock new growth from existing talent, and tap into the collective intelligence of their workforce in ways never before possible.

By 2025, we will see an increase in “AI-native” startups that build their entire working model for human-AI collaboration from day one. These companies will be characterized by small, highly skilled teams of people working in concert with sophisticated AI systems to achieve results that rival those of much larger traditional organizations.

For large companies, the journey to becoming an AI-integrated organization will be complex but can be very rewarding. These organizations will need to undertake significant research and development efforts to understand how to develop AI within their specific context. This process will reveal an important fact: Since AI works a little like normal software, and is similar to a person (although not one), there is no reason to think that the IT department has the best AI promoters or any specific understanding. effective use of AI within the organization.

Therefore, although IT will play a key role in implementing and maintaining AI systems, the real use cases and innovations will come from employees and managers in all departments who find opportunities to use AI to improve their performance. In fact, for large companies, the source of any real benefit in AI will come from the expertise of their employees, which is needed to unlock the hidden knowledge and skills within AI systems. This recognition will lead to the democratization of AI among other organizations, and those will be the ones leading the next revolution.

Organizational structures emerging from this AI integration will look significantly different from the traditional divisions we are used to. We may see the rise of more fluid, project-based structures where teams form and dissolve quickly around specific goals, with AI systems acting as connectors and facilitators. Middle management roles may evolve to focus more on human interaction with AI rather than traditional supervisory roles. In 2025, the most successful companies will not be those with the most advanced AI technology, but those that can most effectively combine human and artificial intelligence to create new types of value.