In recent years, we have witnessed the rise of large language models (LLMs) that help us write emails or generate images. But the real shift is happening right now, in 2026. AI is no longer just a passive tool, but an active participant in the market. According to an analysis by Pipeline Magazine, it's no longer just about automating tasks, but about autonomous decision-making based on goals.
What exactly is Agentic AI?
To understand the difference, we must distinguish between ordinary automation and agentic systems. Traditional automation does exactly what it was programmed to do (e.g., "if an email arrives, save the attachment"). Agentic AI, on the other hand, is goal-oriented. If you tell it: "Find me the best way to Kyoto next month with a budget of 40,000 CZK and book everything," the agent won't just search for information. It will start comparing prices, negotiating discounts via API, checking your calendar, and finally making the payment.
This process is powered by advanced models like OpenAI o1/GPT-5, Anthropic Claude 4, or efficient models from DeepSeek. These models are not just "talking books," but possess the ability of reasoning and utilize so-called orchestration frameworks like LangChain or CrewAI, which allow them to use tools (browser, calendar, payment gateway).
Comparison of technologies for agentic tasks
When building these agents, the model's ability to "use tools" is key. Here is a brief comparison of current leaders:
- OpenAI (GPT-5/o1): Top in complex planning and logic. Ideal for agents that need to solve multi-level problems.
- Anthropic (Claude 4): Often preferred for its ability to follow instructions and "naturalness" in human interaction. Excellent security layer.
- DeepSeek: Extremely cost-effective, which is crucial for companies that want to run thousands of agents simultaneously without extreme API costs.
End of the era of platforms and search engines?
The biggest impact of the Agentic Economy will be felt by existing digital business models. For the entire last two decades, we have lived in an economy built on search (Search-based economy) and platforms (App economy). Google leads us to websites, websites show us ads, and we have to click ourselves.
In the agentic world, this chain breaks. If your personal agent negotiates with an airline agent, digital advertising at the airport or in Google Ads has nowhere to go. The agent is not looking for "fun content," it is looking for "best value." This means:
- Decline of middlemen: Aggregators (like Booking.com or Skyscanner) may lose their role because agents can communicate directly with service providers and bypass intermediation fees.
- Demise of the App Economy: For users, it will not matter whether they have a travel or insurance app downloaded. The agent will access data via API, without the need to install dozens of applications.
Practical impact for Czech companies and consumers
What does this mean for us in the Czech Republic? For the Czech market, the availability of these technologies in our language is key. While models like GPT-4o or Claude 3.5 already handle Czech at a very high level today, the real challenge arises with the localization of agentic workflows. The agent must understand Czech legislation, Czech banking systems, and specific Czech services.
For small and medium-sized enterprises (SMEs) in the Czech Republic: Agentic AI offers a chance to compete with global corporations. A small Czech e-shop company can manage inventory, customer support, and logistics with a minimal number of employees thanks to agents. The costs of these systems are already affordable today – most frameworks are open-source, and API fees range from units to tens of crowns for millions of tokens.
Regulation and EU AI Act: Here we must be careful. The European Union, through the EU AI Act, places great emphasis on transparency and accountability. If an agent concludes a contract that is disadvantageous or illegal, who bears the responsibility? Is it the agent's owner, the model developer, or the framework provider? For Czech companies, this means that when implementing agents, they must pay extreme attention to compliance with European AI rules to avoid high fines.
Summary: What to watch out for
The agentic economy is not just about convenience. It's about a shift in control. If you delegate decision-making to software, you must set clear boundaries. For the average user, this means more time, but also the need for a new type of "digital literacy" – we will have to be able to properly instruct our agents and check their results.
Can agents in the Czech Republic pay for services themselves using Czech payment cards?
Yes, but it requires integration via API providers like Stripe or Czech payment gateways. The agent must have digital instructions and secure access to the payment instrument, which is technically possible but requires a high level of security.
Is agentic AI safe in terms of privacy?
This is the biggest topic of discussion. For an agent to act on your behalf, it must have access to your sensitive data (calendar, emails, banking). Security depends on how the system is implemented and whether it complies with standards such as GDPR and the EU AI Act.
How much does it cost for a company to operate its own agent?
The price varies according to complexity. For simple tasks (e.g., customer support), it can cost several hundred crowns per month for API calls. For complex enterprise agents that run 24/7 and handle logistics, costs can range from thousands to tens of thousands of crowns per month, but these costs are often offset by savings in human labor.