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From chatbots to digital employees: The era of autonomous agents and "agentic" AI is coming

Ilustrační obrázek
The era of passive assistants is ending. While we used to treat AI as advanced search engines or text generators, today we are entering the era of agentic AI. This means a shift from systems that merely answer questions to systems that independently perform work. It's no longer about "writing an email" but about "managing project communication."

The End of the Query Era: What Exactly Is "Agentic AI"?

Most of us still imagine artificial intelligence as a prompt-response type of interaction. You write a question, the model generates an answer. However, this model is limited by human capacity — you have to be constantly at the keyboard, guiding the AI by the hand.

The new wave we're seeing today in products from giants like Microsoft or Alibaba introduces the concept of autonomous agents. The difference is fundamental: An agentic system possesses the ability for planning (reasoning), tool use, and iteration. If you give it the task "Organize a meeting with a client from Prague," the agent won't just search for available times. It will look into your calendar, search your email history, suggest a time, send out invitations, and if needed, even book a meeting room via integration APIs.

This shift defines the transition from workflow automation (where you must pre-configure every step) to autonomous enterprises, where AI itself identifies the steps needed to achieve a goal. A report on this shift confirms that AI assistants are becoming full-fledged workers in the digital space.

Microsoft vs. Alibaba: The Battle to Dominate the Workplace

Two major players are demonstrating different approaches to this transformation. Microsoft is focusing on deep integration into its existing ecosystem. With the expansion of Copilot automation within Microsoft Teams, AI becomes an invisible operator capable of autonomously coordinating work processes directly in chat windows and meetings. For a Czech company using Microsoft 365, this means implementing these features will be natural and won't require complex programming.

On the other side is Alibaba Group, which is building on its family of Qwen models. Their strategy is aimed at creating a platform for building custom agents. The Qwen 3.5 model already demonstrates the ability to work across both mobile and desktop environments, making it a strong competitor to Western models in the realm of complex multitasking.

Comparing Top Models (2026 Benchmarks)

To understand the power of these agents, we need to look at their "reasoning" capabilities. In tests focused on autonomous task solving (e.g., SWE-bench for programming or AgentBench), the current frontrunners look as follows:

  • GPT-4o / GPT-5 (OpenAI): Still the leader in logical structure and instruction-following, but often limited by its closed ecosystem.
  • Claude 3.5/4 (Anthropic): Extremely strong in "Computer Use" — the ability to control mouse and keyboard like a human.
  • Qwen 3.5 (Alibaba): Top-tier efficiency in math and code, very strong in the Asian market, but with growing global dominance through open-source variants.
  • Gemini 1.5 Pro (Google): Strongest in handling massive context windows (e.g., analyzing thousands of pages of documentation at once).

Practical Impact: What Does This Mean for Czech Companies and the EU?

For the Czech market, which is strongly represented by small and medium enterprises (SMEs), this technology presents a huge opportunity to boost productivity without the need for massive increases in headcount. Automation of administration — from invoicing through CRM to customer support — can run autonomously.

However, we must take the EU AI Act regulation into account. Autonomous agents that can act on behalf of a company (e.g., placing orders or communicating with customers) fall into higher-risk categories. Companies in the Czech Republic will need to ensure:

  1. Human-in-the-loop: A mechanism where a person must approve the agent's key steps.
  2. Transparency: The ability to explain why the AI made a particular decision.
  3. Data sovereignty: Ensuring that when the agent handles sensitive data, it does not send it outside the EU (which is problematic with some Chinese models or US cloud services).

Pricing and Availability

The availability of these tools varies. Microsoft Copilot is fully available in the Czech Republic under Business/Enterprise licenses (approx. $28 USD/month per user). OpenAI offers ChatGPT Plus for $20 USD/month, which includes basic agents. For developers, models like Qwen or Llama are available via API (pay-per-token), allowing custom low-cost solutions to be built directly within Czech systems.

Can an autonomous agent completely replace a human employee?

No. Agents excel at executing repetitive and logically defined tasks, but they lack genuine intuition, ethical decision-making, and the ability to handle unexpected situations outside their training framework. They will be more like "digital assistants" that raise the value of work rather than replacing people.

How to ensure security when AI can control my computer?

Security is addressed through "sandboxing" (isolated environments) where the agent has no access to sensitive systems, and through strict permissions. You should always use tools that allow you to control which applications the AI can access.

Is Czech localization for these agents adequate?

Thanks to advances in models like GPT-4 or Claude, the ability to understand the Czech language and context is very high. However, for complex agentic tasks, it's still better to use English as the "control language" to reduce error rates during logical planning.

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