What will happen to neural networks in 2025

The term ‘agent’ first appeared in a paper by British mathematician Alan Turing, you remember the film The Imitation Game, right? In it, the scientist described machines capable of independent decision-making. Today Artificial intelligence (AI) agents are a reality. They are programmes that can work and make decisions without human assistance. They can answer questions, make calculations, run podcasts, social network and automate different processes.

AI agents, or intelligent assistants, can work as digital colleagues or customer service representatives, using natural language processing for interaction. Some of the money earned by AI agents will likely be self-distributed to improve their work or to buy new tools and become more and more useful to users. In this article Emat EOOD it company will talk about modern AI-agents that are already available to every user today.

Prospects? Is it time to worry?
Is it all gone? Are we going to be replaced? Maybe! But ... not this year for sure. AI is still a niche story. And there are at least three reasons for that.

1. It is difficult and expensive to create a full-fledged AI-agent. Training a savvy ‘neuro-agent’ requires a savvy specialist who can understand the nuances of the industry and legislation. That's why we believe that in the coming years the demand for qualified specialists will increase and the cost of services, for example, in the field of accounting and finance, will rise.
2. Users' inertia, their internal barriers and unwillingness to dive into the topic of AI-agents. ChatGPT became super popular in 2023, but there are still quite a few who don't know what it looks like ‘because it's hard to sign up’.
3. AI is good at analysing data but bad at dealing with out-of-the-box situations. Industries where ‘human’ personal involvement, creativity and real people are important will adapt and stay in the market. Author blogs/media/interesting editorial will survive and there agents will be used as tools, not as a full-fledged replacement.

Winter-2025 situation
We already know about AI agents running social networks and selecting projects for investment. Neuronkey is cooking for AI streamers and bloggers. AI-agents in integration with CRM will be able to accept applications and work with incoming leads via messengers or, at least partially, using the funnel of lead movement depending on the result of the dialogue.

But not everything goes smoothly. Implementing LLM is not always successful and sometimes the result is quite At the beginning of 2025, Instagram proudly announced that it had launched several AI-influencer profiles. But after ... 2 hours, it partially shut them down because one of the AI agents ran a fake charity event to collect coats for the needy! Generating all the coats collected. By the way, it's still not clear why he did it!

Multifunctionality in AI tools
Unlike traditional software that requires explicit instructions for every action, AI agents use machine learning, natural language processing and advanced algorithms to analyse data, learn patterns and perform tasks with minimal human intervention.

The Emat development case study has an AI podcaster that can self:

• invite for interviews
• create online conference rooms and ask questions
• release material on YouTube and other platforms
• sell advertising and earn money
• automate tasks

What's next.
Open AI has announced the release of its new Operator tool, an agent that will be capable of routine online tasks in place of the user, including using a browser, filling out forms, ordering tickets and products. More and more companies are adopting AI, automating routine processes.

For those interested in the idea of AI-enabled agents, Emat EOOD recommends scrutinising offerings and choosing vendors with robust encryption protocols and transparent privacy policies. What's important about AI products is their security for your data (compliance with regulations like GDPR or CCPA). Start with a trial or pilot programme to evaluate the tool and its capabilities.

The price of developing an AI agent depends on its features (type of AI, amount of data, integration, support and system updates). Entry-level tools can cost around $30-$50 per user per month, while more advanced systems with comprehensive analytics can exceed $150 per user per month.