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AI Will Transform Organizations For All


Since then chart creation in the 1850s, the structure of companies has changed a bit – they are hierarchical and consist of several groups of managers and decision makers. This is because we have been bound by the limits of human intelligence and the ability to manage and manage operations. AI he can change it. In the major languages ​​(LLMs), we have a new, unusual, but which has been working as a personal assistant. In 2025, we will begin to see the first organizations built around the integration of humans and AIs working together.

This change represents a fundamental change in the way we design and operate our businesses and organizations. Although the integration of AI into our daily lives has happened very quickly (AI assistants and one of the fastest-growing adoptions in history), so far, organizations have seen little benefit. But the coming year will see a turning point where AI will move from being a tool for personal productivity to a central part of organizational design and strategy.

In 2025, forward-thinking companies will start reshaping their entire structure, processes, and culture around the interrelationship between human and artificial intelligence. This is not just about jobs or increasing people’s skills; and creating new ways of working that leverage the unique strengths of humans and AI. The key to unlocking the true power of LLMs lies in moving past the use cases to the team. Although we have seen impressive results from people using AI assistants for things like writing, copying, and analysis, the real change will come when entire organizations are built around the collaboration of people and AI.

Founders are leading the way. Venture capitalists are showing a growing number of companies promising to have teams of no more than 30 people, relying on AI to carry out their tasks without exceeding that. However, the benefits of this approach can be significant for large, established organizations. These companies have the opportunity to use AI to navigate challenges, unlock the growth of existing talent, and use the intelligence of their employees in ways that have never been possible before.

In 2025, we will see “AI-native” startups that build their entire workflow around the interaction of humans and AI from day one. These companies will consist of small, highly skilled teams working together with advanced AI systems to achieve results that rival the largest corporations.

For large companies, the journey to an AI-integrated organization will be more difficult but more rewarding. These organizations will need to conduct significant research and development efforts to understand how best to use AI based on their experience. This reveals an important truth: Since AI works less like traditional software, and more like a person (although not one), there is no reason to assume that the IT department has the best AI motivations or any other knowledge. the most effective use of AI within an organization.

Therefore, although IT will play an important role in the implementation and maintenance of AI systems, the real ways to use and innovate will come from employees and managers in all departments who get the opportunity to use AI to improve their work. Instead, for large companies, the source of any profit in AI will come from the expertise of their employees, which is needed to unlock the knowledge and potential hidden within AI systems. This realization will lead to the democratization of the use of AI in some organizations, and these are the ones that will lead the next revolution.

The organizations that emerge from the integration of AI will look very different from the traditional ones we are used to. We may see the rise of more fluid, project-based projects where teams form and dissolve quickly around specific goals, and AI systems that act as facilitators and facilitators. Middle management roles may change to focus more on human interaction with AI instead of traditional management roles. In 2025, the most successful companies will not be the ones with the most advanced AI technology, but the ones that can successfully combine human and artificial intelligence to create new types of value.



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