At the mahJ, artificial intelligence becomes a shared tool across the entire team

Training an entire team in artificial intelligence is no longer optional for cultural institutions. It is a prerequisite for staying relevant, effective, and aligned with evolving practices.

At the Museum of Art and History of Judaism (mahJ), this realization led to a clear decision: train all staff in AI with Ask Mona Academy.

This project reflects a growing reality across the sector: AI is not only transforming tools, it is transforming organizations.

A concrete challenge: aligning an entire team around a still unclear technology

At the outset, the situation was straightforward. Within the mahJ, levels of knowledge and uses of AI varied widely.

Some staff were already experimenting, while others remained hesitant. Across departments such as management, curatorial, education, and communications, expectations differed, as did points of reference.

In this context, moving forward without a shared foundation was impossible. The challenge was not just to provide training, but to enable everyone to understand how AI concretely impacts their role.

A training program designed for real-world needs

The choice of Ask Mona Academy was driven by a key factor: its ability to deliver AI training tailored to cultural professions.

This was not generic content. Each case study was grounded in the museum’s day-to-day realities, as the mahJ explains:

“For cultural professionals, the clear advantage of working with Ask Mona was receiving training perfectly tailored to museum professions. Every case study reflects our challenges, our constraints, and our vocabulary.”

This level of relevance makes all the difference. It allows teams to move quickly from understanding to practical use.

A rapid shift: from training to action

What stands out in this project is not just the upskilling, but the speed at which teams embraced the tools.

Very quickly, AI became part of everyday workflows: writing, content production, idea generation, and data analysis. At the mahJ, this acceleration even came as a surprise internally:

“What I hadn’t anticipated was how quickly the team would adopt these tools and begin integrating them into their daily professional routines.”

This kind of feedback is key. It shows that the challenge is no longer to convince people of AI’s value, but to create the conditions for its effective adoption.

An approach that engages every profile

Training in AI does not mean working with a homogeneous group. It means supporting people with different roles, backgrounds, and levels of experience.

This is precisely where the training delivers its full value. It adapts to each individual while building a shared culture.

At the mahJ, this approach brought together a wide range of profiles around a common goal: to understand, test, and integrate AI into their practices.

Beyond tools, the training also opened up broader discussions about the role of cultural institutions in relation to these technologies. How can they be used in a way that is relevant, responsible, and aligned with institutional missions?

Training today to shape tomorrow’s practices

This project highlights a key point for cultural institutions: AI does not implement itself.

Without proper support, uses remain fragmented, uneven, and sometimes ineffective. With the right training, they become structured, shared, and genuinely useful.

This is exactly what AI training for cultural professionals needs to achieve today:

create a shared language

secure and guide usage

accelerate adoption

turn AI into a practical tool rather than an abstract concept

At a time when digital cultural mediation, museum technologies, and AI in the cultural sector are becoming increasingly important, this upskilling is a strategic lever.