With this panorama, 2025 aims to be the year in which the generative AI will become more strategic, with more autonomous multi-agent systems and tools such as service at reduced prices and within reach of any business. Simultaneously, evolving regulatory frameworks will provide the necessary guidelines for responsible progress.
For companies, researchers and political leaders, the challenge lies in making the most of the AI potential while ethical and equitable results are guaranteed. There are four key tendencies that will shape the AI during this year.
Progress in Government and Regulation of AI
The regulatory panorama of AI took significant steps in 2024, with bills and pilots emerging in various parts of the world. By 2025, we will see more complete frames that address algorithmic responsibility, transparency and privacy of data.
Test environments introduced by governments will play a crucial role in the refining of these regulations, ensuring that they promote innovation while mitigating risks. As companies and political leaders align in a governance responsible for AI, the confidence in the technologies of AI will deepen, racing the way for a broader adoption.
The generative AI will gain strategic depth
In 2024, the generative AI was established as a reliable tool in various fields, from customer service to education and health. Looking ahead, we can expect this technology to assume more specialized roles. Companies will start using it to make strategic decisions, customize their contents and even design their products.
The fusion of generative with traditional search engines shows a future where knowledge recovery will be more intuitive and insightful. The tools that integrate generative capabilities in daily software, such as CRM solutions and office suites, will continue to optimize workflows and improve productivity.
Advanced AI systems based on agents
The appearance of multi-agent AI systems in 2024 marked a significant change, allowing specialized agents to collaborate with complex business workflows. In 2025, these systems are expected to be more common and allow companies to automate complex processes such as supply chain management, financial forecast and operational analysis.
These systems will grow in sophistication, incorporating contextual awareness in real time and begin to adapt to dynamic environments. This trend means a transition to more autonomous and efficient applications adapted to business needs.
