Generative Artificial Intelligence transforms work dynamics, affecting every stage of daily work. The adoption of these tools requires a rethinking of traditional workflows, along with the need to adapt to the idea that the order in which one’s tasks can vary. Observation of our sample points to a more iterative and progressive workflow that incorporates AI feedback and considers the impact of this technology on everyday professional life. Artificial intelligence exponentially speeds up mechanical processes, freeing up time and resources for more value-added activities.

Not everyone uses Artificial Intelligence the same way. Some approach AI gradually, studying it before using it, while others prefer to use it immediately, exploiting its potential from the start. Compared to more technical professions, creative professions not only look to AI for different needs but also welcome its assistance differently. In the creative sphere, AI is often seen as a tool for support and inspiration, while in more knowledge and precision-oriented contexts, its use can be seen primarily as a means to optimize and refine existing structured processes.

Generative AI adapts to multiple needs, serving as both a practical assistant and a source of creativity. Depending on the professional field and user’s needs, GenAI performs different functions:

• It speeds up processes: it facilitates the implementation of proposals or the translation of texts, making operational tasks faster and more efficient.
• It fills skill gaps: it provides additional support, giving users the equivalent of a virtual work team giving them “extra muscle” to handle daily tasks.

In addition to being a dynamic encyclopedia, unlike Google Search, Generative AI supports users in other ways:

• It elevates and enhances ideas: it stimulates new inspiration and provides fresh creative input, helping to generate innovative solutions.
• It enriches knowledge: it expands a user’s skill set, taking them to new levels of ambition and creativity.

GenAI is expanding the boundaries of professions: it offers new opportunities for interaction between different disciplines and the introduction of new approaches to established processes. Rather than talking about the change of a single profession, we should talk about changing the “team” asset. An evolution of skills and disciplines that must be orchestrated together.

It would be useful to maintain a focus on the quality of work and not just on quantity, efficiency, performance. Workers should be in a position to use GenAI to enhance the quality of their work. The risk of standardizing outputs — especially in creative and knowledge areas — is just around the corner. For this reason, we should not interpret GenAI as a “place” or an entity where to outsource knowledge but as an incredible activator if we possess extensive knowledge.

Experimental projects are a key to success that is driving the satisfaction of people working with and using this technology. Its nature is fundamentally generalist, but practical experience is guiding us towards sector-specific applications. This direction must be supported by tools such as specific training that can meet the individual needs of people. Today we are addressing a generation that has lived through digital transformation and is not naive about the meaning it wants to give to its work.

Investing in it pays off, at least in the perception of value and understanding by individuals. It remains to be verified whether this value also translates into actual benefits for the business. Certainly, companies play a fundamental role in guiding employees, providing solid cultural and educational tools to use GenAI in a conscious and strategic manner.