How AI will change in 2025: 4 main trends

Artificial intelligence is rapidly changing the world today. By 2025, technologies will not just execute commands, but will adapt to our habits and make decisions for us.

RBK-Ukraine (Styler project) talks about four key trends that will determine the future of artificial intelligence in 2025, citing the technology website MakeUseOf.

Wider distribution of voice and visual assistants based on AI

Thanks to advances in natural language processing (NLP) and computer vision, AI assistants are becoming increasingly capable of understanding and executing human commands. Voice and visual assistants have already begun to penetrate everyday life, but 2025 promises to be a breakthrough year for these technologies.

By 2025, these AI assistants are expected to be integrated into many areas of life, radically changing the way we interact with devices and the environment. Their capabilities will expand significantly: assistants will be able to perform more complex tasks, understand the subtleties of language, and interact through visual cues.

The ability to maintain coherent dialogues over multiple lines will make AI assistants less like tools and more like companions. The possibilities are endless: from content recommendations based on activity history to automating routine processes based on your workflows.

Additionally, AI models based on computer vision will add a new level of interaction. However, the real breakthrough will come when voice and visual AI come together, opening the door to fully contactless interaction.

Improving search

Traditional search engines rely mainly on keywords. While this approach is effective, it often fails to handle complex or non-obvious queries.

AI has the potential to revolutionize search, moving from simple keyword analysis to a deeper understanding of user context and intent.

Instead of relying solely on keywords, AI-based search will be able to recognize the content of the query and take into account context, providing more accurate and relevant results.

By 2025, visual and voice search will actively complement traditional text-based methods. Multimodal search will allow you to search for information using a combination of text, voice, and images.

At the same time, AI will make search more personalized – it will take into account your preferences and adjust the results. For example, if you are vegan, the system will automatically suggest vegan recipes when you request “dinner ideas”.

We are also moving towards the era of conversational search, where interaction with search engines will occur in natural language. Instead of typing “best Italian restaurants near me,” you can ask, “Where to go for Italian food today?” This will make searching for information feel like a conversation with a knowledgeable friend, rather than a rigid interaction with a machine.

Deep integration with productivity tools

By 2025, AI will become an integral part of work tools, radically changing our approach to completing tasks. Artificial intelligence will help optimize workflows and automate routine actions, making work more efficient.

With the introduction of solutions such as Copilot for Microsoft 365 and Gemini in Google Workspace, AI assistants will become indispensable in the office environment. They will be able to manage their schedule, set reminders, and prioritize tasks.

AI will help with project management: tracking progress, distributing responsibilities, and analyzing team performance. Features like on-the-fly automatic translation, intelligent meeting scheduling, and context-aware collaboration will greatly improve team interaction.

As such tools develop, AI will be able to automate repetitive and time-consuming processes like data entry, report creation, and email management. This will free up employees' time to perform more creative and strategic tasks.

An early look at AI agents and AGI

Artificial General Intelligence (AGI) and Agent AI are the next stage in the development of artificial intelligence technologies. While we are unlikely to achieve full AGI by 2025, the first examples of such technologies are already beginning to emerge, paving the way for more complex AI systems.

Unlike narrow AI, which is designed to perform specific tasks, AGI aims to perform any intellectual tasks that humans can perform.

Early versions of AGI will demonstrate a wider range of capabilities – from understanding language and logical reasoning to solving universal problems and expressing creativity.

The quest to create AGI will drive significant breakthroughs in the fields of machine learning, neural networks and cognitive computing.

Agent AI is systems that are capable of autonomously making decisions and performing actions on behalf of a person. Unlike current AI systems that mostly respond to commands, such agents will be able to navigate complex environments on their own, interact with other AIs, and adapt to changes.

Imagine an AI that can write a report, conduct research on a topic, collect data, and even contact experts for feedback – all without direct instructions.

Although agent-based AI is not yet AGI, it is an important step in this direction. By developing AI that can act independently and solve problems, we are creating the foundation for creating general intelligence. The first AGI systems will begin to manifest themselves, in part, through the development of agent-based AI as early as 2025.