In 2026, generative artificial intelligence (GenAI) is no longer a technological novelty. It has now been almost four years since it became part of the daily lives of professionals., transforming our working methods. However, although 89% of executives place GenAI among their top three technology priorities, a vast majority of them still consider themselves as simple observers of this revolution rather than as full actors. Or, today, we are reaching a pivotal stage : we are leaving the era of simple “response” to enter that of action.
The end of passive AI
During the first years of this transition, we have become accustomed to so-called “passive” AI. Its operation was based on a reactive cycle : it was necessary to systematically prompt to obtain a generation of content – whether texts, d’images, or even codes. Although powerful, these tools remained inert once the response was produced. The human user had to ensure all the logistics to translate these results into concrete actions. From now on, the issue is no longer to dialogue with a machine, but to entrust it with an operational mission.
Distinguish between Agent AI and Agentic AI
To manage the strategy of a large organization, it is now imperative to understand the hierarchy of these new systems :
• L’Agent IA : Unlike passive models, the agent is able to use tools to complete a task end-to-end. He is no longer content to suggest ; it executes a specific goal autonomously.
• L’Agentic AI : This term designates the upper stage : a “fleet” or group system of AI agents collaborating with each other. It is a collective intelligence where each agent fulfills a specialized function to solve complex problems without constant human intervention.
The question is no longer “should we go ? », but “how ? »
The debate on the relevance of AI is over : competitive survival depends on it. The real question that occupies the management committees in 2026 is that of the implementation. Because a strategy, no matter how brilliant it is on paper, loses all its value without concrete and effective application. The path to agentic autonomy is demanding. The MIT Nanda study found that by 2025, 95% of AI projects built exclusively in-house failed. Conversely, those carried out in partnership with specialized service providers had a success rate of 67%. This success can be explained by the technical complexity necessary to provide these agents with efficient long-term memory., a real capacity to perceive their environment and an ability to continually improve.
The trusted standard : Human in the Loop
It would be risky to think that the tool is infallible or magical. Overreliance without a critical framework can lead to costly mistakes or hallucinations. To mitigate this risk, le concept de « Human in the Loop » (the human in the loop) establishes itself as the new standard of governance. AI should be used as a complement and not as a total replacement for processes. AI executes but humans supervise, validates and arbitrates strategic decision points. Companies that undertake this path with the right partners, capable of integrating these safeguards into the heart of the systems, now benefit from a major strategic advantage.
Shaping the future : beyond performance
By delegating redundancy of low-impact tasks to reliable agentic systems, organizations are giving time back. The goal is not to replace humans, because if the professions are transformed, they are not however deleted. On the contrary, it is about transforming anxiety in the face of the unknown into an opportunity for fulfillment and innovation.. The autonomy of AI finally allows teams to reclaim their profession, to cultivate their curiosity and focus on what is really important : actively shape the future.
