Most of the anxiety a team feels about AI isn’t really about the technology itself, it’s change management wearing an AI costume.
SCIENCE PARK OF ALICANTE, IN-COMPANY EVENT
Speaking about AI at an in-company event, Science Park of Alicante.
Separating what AI can realistically do for a business today from what is still marketing noise.
Where a team should start experimenting with AI without needing a data science department.
The concerns and use cases that came up most from the in-company audience.
AI is designed, intentionally or not, to let you take the credit for its output and apologize for its mistakes. Treating it as an imperfect piece of software rather than an oracle changes how a team actually uses it day to day.
Questioning a hype cycle gets read as lacking vision, when it’s usually the opposite: a wide enough time horizon, backward and forward, to tell a genuine shift from a rebranded idea that already failed once before.
AI fear is usually fear of change in disguise.
Victor de la Fuente
For fifteen years my work has sat where eCommerce strategy meets change inside organisations. In-company sessions like this one matter because AI adoption is rarely a technology problem; it is a people and process problem first.
Speaking and lecturing at top Spain universities, business schools and international events.
When I talk to teams inside a company about AI, most of the anxiety in the room isn’t really about the technology itself, it’s change management wearing an AI costume. People have seen enough badly managed transformations to be skeptical by default.
The sessions that actually land are the ones that address that fear directly instead of pretending it isn’t there. Once a team feels like they’re being equipped rather than replaced, the conversation about AI gets a lot more productive.
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Internal sessions work best when they connect AI with real tasks. For example, a team can review which reports or emails could be drafted faster. Also, open questions help people share fears and expectations.
First, agree on the goals with the organisers. Then, adapt the examples to the company’s sector. As a result, the session feels relevant from the first minute.
Moreover, follow-up matters as much as the session itself. Therefore, teams should leave with clear next steps. For example, a short list of tools to test.
In short, an in-company event is a practical way to start the conversation. Therefore, companies can follow it with small pilots and clear guidelines.
Learn more about artificial intelligence on Wikipedia.
