Many organizations want things done quickly. They want to get started with AI quickly. They want to see results quickly. They want to “do something” quickly. Because developments are happening at a rapid pace, and really, this should have been implemented yesterday. That’s understandable. But in practice, you see that speed often comes at the expense of effectiveness.

Runners are dead runners

It's a cliché because it's true. Because what happens when organizations skip steps:

There is a proliferation of initiatives, tools are being used haphazardly, the big picture is lost, and unnecessary risks are being taken. There is a lack of focus.

Meanwhile, a new divide is emerging:

The “early adopters” who are already experimenting with everything versus the rest of the organization, which can’t keep up. And that makes scaling up virtually impossible.

An interesting pitfall is that it is precisely the enthusiasts who often overestimate themselves.

They know how the tools work, but:

• Do they also understand the limitations?
• Do they see the risks?
• Do they act consistently and safely?

Using AI at the individual level is different from using AI responsibly within an organization.