The real breakthrough in AI is no longer technological but managerial: everyone becomes a conductor of virtual assistants. The issue is human and organizational.
At the beginning of February 2026, several American software giants saw their market capitalization sanctioned. At issue: AI tools capable of completing complex tasks in a few minutes, via simple conversational interfaces, usually combining business expertise and specialized applications.
What was a competitive advantage yesterday — first and foremost, computer code — is today becoming a commodity accessible to everyone at an exponential rate. With unprecedented possibilities now available to everyone, AI is gradually reducing intermediary services. Each employee must now prepare to manage their own team of virtual assistants, which requires new skills and a redesigned organization.
This acceleration redefines each profession: the question will no longer be of doing, but of knowing how to do it.
Towards the meta-enterprise: orchestrate and no longer execute
With AI offering the possibility of “recruiting” expert artificial agents, the role of employees is profoundly transformed. Everyone gradually becomes a manager-expert and must be able to instruct and delegate to AI agents but also to orchestrate their exchanges, control their results and finally to arbitrate, while remaining the final decision-maker.
As execution becomes automated, the value shifts to the ability to define the framework, prioritize, and make sense. This is the very principle of the meta-enterprise: everyone elevates their responsibilities and their role in the face of new virtual teams.
Freed from execution tasks, each human intervention paradoxically takes on value. In customer relations, advisors already work alongside artificial agents who process repetitive requests and synthesize histories. What changes: the nature of human intervention. Less volume, more value. A recent Ispos-Bva study for Tersea confirms this: in 2025, 62% of French people still favor human interaction rather than AI, particularly when it comes to discussing sensitive subjects.
Uses of shadow
But these benefits face a major obstacle. While almost all organizations are experimenting with AI, the vast majority of pilot projects fail to produce a measurable return. The blockage is no longer technical — it is organizational: vague objectives, lack of integration into processes, insufficient training. In 2025, in a panel of eleven countries, only 25% of front-line employees believe they will receive support on this subject from their management.
The most telling symptom: “Shadow AI”. In 2023, more than half of AI users at work, surveyed in fourteen countries, have used it without validation from their company. This figure reflects a real appetite, but without a collective framework, this practice weakens operational coherence and raises security questions.
The real challenge is therefore not to encourage the use of AI but to channel its collective use before it becomes organized on its own. The promise is real for teams: to unleash their creativity by developing, for example, with a few instructions, applications or reports tailored to their precise needs.
The reason for doing business
The real disruption is therefore no longer technological — it is managerial. Two paths are available to companies: let AI deploy in an anarchic manner, or structure this transformation to make it a strategic lever. This involves training each employee to become a manager of their daily increased resources.
Humans can then take control again to give meaning to each decision, enhanced tenfold by AI. Knowing how to do things better and better, it is he who defines what to do and especially why to do. This reason for doing what is the reason for the company’s existence.
