IA agents redefine interactions between systems. Are they called upon to dialogue only with each other, to the point of eclipizing brands and consumers? What about humans?
The interconnection of IA agents
For several months, AI agents have been upset by operating independently, orchestrating sequences of complex actions from a simple request. More than just automation of tasks, we are witnessing the birth of a digital ecosystem where agents are the main interactors. This is what is called agentics “. Imagine a very close future where your personal AI agent, programmed according to your preferences and constraints, negotiates directly with the AI agent of an airline to find the best flight, then with the agent of a hotel to book your stay, by optimizing each transaction according to your requirements.
It is no longer science fiction: this agent-to-agent interaction becomes a reality. The example of a manus, developed by the Chinese startup Monica, perfectly illustrates this vision. Capable of automating more than 50 tasks simultaneously, this agent can not only analyze financial data or make purchases, but also potentially interact with other agents to carry out in -depth research or deploy websites, all independently and continuously.
AX (Experience Agent) at the heart of business strategy
This technological transformation brings out a new paradigm: the Experience Agent (AX). The latter pushes companies to review the design of their digital services, no longer only for the human user, but for the AI agent! In order for agents to communicate effectively to each other, they must navigate the web with the same fluidity as a human user, understand the interfaces and interact with the applications without friction. This means that digital architectures must be designed to be readable and usable by AI agents. Agents should be able to authenticate in a secure manner, often via robust protocols like Oauth 2.0, which allow a delegation of access without compromising security. Website and applications must offer open APIs and solid authentication flows to facilitate and secure these agent-on-agent interactions.
The economic impact of this revolution is colossal. The ability of agents to interact directly with each other promises an unprecedented acceleration of transactions and processes in all sectors. In finance, autonomous agents could negotiate and carry out real -time trading operations. In retail, supplier and retailers’ agents could optimize supply chains and price strategies independently.
Technological and human challenges to be met
To be competitive, companies will have to have their own AI agent, capable of representing their interests and dialogue with agents from other entities (consumers, suppliers, banks, etc.). The future draws an ecosystem where the digital presence of a company will no longer be limited to a website or social networks, but also AI agents which could be referenced on platforms such as current Google Business pages, as a new contact channel for other AI agents. However, the prospect of an entirely autonomous dialogue between IA requires technological maturity and confidence that are built in stages. This is why the hybrid approach is today the most relevant strategy. Far from being a simple compromise, it constitutes a powerful synergy, merging the effectiveness of AI with human emotional intelligence to create an immediate and lasting value.
Concretely, this means that the AI agents will manage repetitive requests, releasing human agents for high added value interactions that require empathy, creativity or solving complex problems. This revolution involves taking up several challenges: the security of automated transactions between agents, the definition of responsibility in the event of systemic error and the impact on employment. Companies will also have to invest massively in the overhaul of their infrastructure to make them compatible with this new generation of artificial users. To show that this construction in stages is already a concrete reality, Google’s work on a standardized A2A (agent agent) protocol have just been entrusted to the Linux Foundation. This decision is a major turning point which will make the interaction between agents an open source standard, and a base of the future revolution …
