AI and work: let us stop convincing through speeches. Let us convince through usage.
Field observation: 3 out of 4 employees already use AI without an official framework. This is not primarily a security problem. It is a signal of a lack of vision and concrete use cases.
Managerial impact: when AI enters through practice, it reshapes actual work. Yes, 87% of users see gains and 71% want to increase their usage. On the other hand, increased pressure, cognitive fatigue, and a training deficit. Shadow IT reveals innovation energy that organizations must channel rather than stifle.
Key takeaway: trust does not precede usage, it follows from it. You need short workshops, real-world cases, guardrails, then gradual scaling. Train as close as possible to the actual work gesture. Normalize popular tools after an audit. Align governance, security, and ROI on field-level indicators.
Conclusion: you do not reassure people with slides. You reassure them by showing how AI improves a quote, a client follow-up, a summary note, a schedule. One small win, then another, then a standard.
I help organizations on three fronts: augmented workflows, management in the AI era, AI-native products.
If you would like a 30-minute conversation to explore your challenges and see what could be activated in your context:
I publish daily on AI and the transformation of work. Subscribe to follow the movement.
Gain 30% productivity with AI: it is possible, but not for everyone.
Many teams add new tools, but few truly rethink the way they work. Result: a huge gap opens between those who test AI and those who reap the gains.
The latest McKinsey analysis is clear: the organizations that progress the most do not simply adopt AI, they completely redesign their development cycle. They integrate AI end to end, redefine roles, and measure real impact rather than usage.
The 30% gains only appear when AI becomes a structural pillar: Use cases aligned from design to deployment. AI-native roles across the entire chain. Smaller teams, shorter cycles, reinforced quality. A culture of continuous experimentation.
AI does not boost your current way of working. It demands that you create a new one.
Organizations that stay on the surface will lose their operational advantage to those that adopt an AI-forward model.
I help organizations navigate this transition: augmented workflows, reinvented management, truly AI-native products.
If you would like a 30-minute conversation to explore your challenges and see what could be activated in your context:
I publish daily on AI and the transformation of work. Subscribe to follow the movement.
In your view, what still prevents teams from adopting a truly AI-native approach?
88% of companies already use AI. But only 32% have actually integrated it into their ways of working.
In other words: there is plenty of AI in the slides. Very little in the workflows.
On the ground, I see the same scene repeat itself: teams test models, create prototypes, run POCs... then everything stalls when it is time to scale. Why? Because AI is not just a new technology. It is a change of operating model.
The rise of AI agents illustrates this well. 62% of companies are testing them. But only a minority deploy them in more than one function. This is not a question of technical maturity. It is a question of work design.
The organizations that truly capture value (the 6% of "high performers") have one thing in common: they do not just optimize. They reinvent. They redesign workflows. They change roles. They align leadership, processes, and products toward an AI-native model.
Key message: AI is not here to do "the same thing, but faster." It is here to enable what was impossible yesterday.
I help organizations with these transformations
Augmented workflows, new managerial mindsets, and building AI-native products.
If you would like a 30-minute conversation to explore your challenges and see what could be activated in your context:
I publish daily on organizations in the AI era. Subscribe if you want to follow the construction of this new work model.
And you: in your organization, is AI still a tool... or already a change in the way you work?