Artificial intelligence is no longer an exclusive technology for IT departments. In 2026, Mastering AI It will be a key competence for all teams, from management and operations to marketing, sales or human resources. Companies that understand AI as a transversal skill, and not just a technical one, will be better prepared to compete, innovate and adapt to an increasingly automated environment.
True transformation happens when AI is integrated into business processes, not when it is limited to isolated projects. Task automation, predictive analysis, workflow optimization or improved decision-making are just a few examples of how AI can impact everyday life.
Develop AI Fluency implies that teams understand what AI can do, how to apply it to their context and how to collaborate with it to improve results, without the need for advanced technical knowledge.
Training only technical profiles creates bottlenecks and limits the real impact of AI. When all teams understand their potential, more opportunities for use are identified and adoption accelerates.
In addition, a cross-sectional formation facilitates the creation of a Common language on AI, reduces resistance to change and allows technology to be used in a manner consistent with business objectives. In this context, the creation of a AI committee is especially important for coordinating efforts and defining priorities.
AI is already transforming multiple sectors, adapting to specific needs and challenges.
In the real estate sector, AI is used to optimize lead capture, automate asset valuations and personalize the customer experience. Predictive tools allow us to anticipate market trends and improve business decision-making.
Banking applies AI to automate operational processes, detect fraud, assess risks and provide personalized services. This improves efficiency, reduces costs and increases customer confidence.
In healthcare, AI helps optimize agendas, manage resources, analyze clinical data and improve patient care. Its responsible use frees up time for healthcare workers and focuses on higher-value tasks.
In the luxury sector, AI is oriented to hyperpersonalization, anticipating preferences and creating unique experiences. Data analysis makes it possible to maintain brand coherence without losing differential treatment.
For the adoption of AI to be sustainable, a clear governance structure is key.
An AI committee is a multidisciplinary group responsible for defining strategy, prioritizing use cases and overseeing the implementation of artificial intelligence in the organization.
It should include representatives from management, IT, business, human resources, legal and compliance, ensuring a global and balanced vision.
La Responsible AI is essential to avoid biases, legal risks and reputational problems. The committee must establish ethical principles, criteria for use, and control mechanisms.
The success of AI depends on its alignment with strategic objectives and people's needs. Training, communication and support for change are key in this process.
Among the most common mistakes are implementing tools without a defined objective, not training teams, relying exclusively on IT, or ignoring ethical and organizational aspects. Without a clear AI strategy, technology loses impact and generates frustration.
AI is not just a technological issue, but a cultural and organizational one. Mastering it implies that all teams develop digital skills, understand their impact and actively participate in their responsible and strategic use.
In 2026, the most competitive companies will be those that understand artificial intelligence as a cross-cutting competence. Training all teams, creating governance structures such as the AI committee and aligning technology, business and people will allow them to exploit their full potential. Mastering AI is no longer an option: it's a shared responsibility.
