How 'agile' companies can lead the artificial intelligence revolution

It is not (yet) the 'end of work', as prophesied by Jeremy Rifkin, but certainly the beginning of a new industrial revolution: that of artificial intelligence. According to a report by the World Economic Forum published in October, in less than five years 86% of companies will structurally use "AI agents" capable of handling complex tasks under human supervision. This evolution is totally disruptive compared to previous models and, while promising huge productivity gains, radically disrupts hierarchies, skills and collaboration models. More than a technological challenge, it is a cultural transformation.

With the advent of Covid, organisational models changed, transforming the cultural relationship with work (Big Quit, Yolo syndrome, Smart Working, work-life balance). Something similar had happened with the advent of the Internet or with the personal computer. Now, with AI making its way into every business process, we may be witnessing something even more profound. Artificial intelligence enhances analysis and accelerates decision-making, but if not integrated properly it can generate parallel and fragmented processes. Because it is often used with unstructured, random and unofficial approaches, it can alter internal balances and create misalignment. In short, it is disruptive. This is why it is necessary to introduce a new virtuous organisational paradigm. That "Agile".

Agile methodologies offer an adaptive approach that allows AI to be incorporated in a sustainable and coordinated way into teams, decisions and hierarchies. The Agile approach and the figure of the Agile Coach are not just process facilitators, but mediators between human and artificial intelligence. His mission is indeed to guide people from 'doing Agile' to 'being Agile': promoting trust, continuous learning and authentic collaboration.

While AI takes on analytical and repetitive tasks, people will have to develop emotional, creative and systemic skills. In this balance, ethics becomes a pillar of agile work: experimenting beyond known boundaries, but with responsibility, transparency and awareness. The combination of agility and artificial intelligence paves the way for 'living' companies, capable of adapting and learning in real time. AI provides analysis and research capabilities, agility ensures flexibility and collective intelligence. Together, they make the organisation a constantly evolving ecosystem.

An example: in a hybrid creative team, the AI participates in the session as a real team member. While the human side discusses ideas and suggestions, the AI processes sketches, palettes and visual concepts in real time, providing cues, interpreting conversations and anticipating results. The effect is a shared creative flow, where artificial intelligence does not execute, but co-creates by participating in the 'human' work, influencing it and, to some extent, altering it compared to traditional methods. In these contexts, the Agile Coach becomes the 'cultural translator' between humanity and technology: he ensures that language, processes and learning remain accessible and consistent for all team members. And he also helps manage the new 'accelerated' situation, balancing logic and empathy, automation and meaning, asking the right questions and the right whys. In practice, it acts as a bridge between two worlds that are different but must co-create the same future.