80% of professionals in the Icelandic labour market use AI at work (Viska 2025). At the same time, only 14% of Icelandic companies have an AI policy in place (Statistics Iceland 2025). That is a gap managers need to face up to, because their staff did not wait for permission.
Staff are far ahead of the company
The numbers from Viska tell a clear story. Eight out of ten professionals use AI at work, but only 34% have received training from their employer (Viska 2025). That means the majority of staff are learning on their own: by trial and error, YouTube and guesswork.
This is no longer fringe behaviour. When 80% use the technology, it has become part of everyday working practice, whether or not the company has taken a position on it. The question is not whether AI will be used at your workplace. It is being used now, today, probably in emails, reports and data that leave the building.
And untrained use is not neutral. Research shows that AI without training can make experienced people slower and more confident in the wrong answer. The difference between gain and risk lies in the training, not the tools.
Companies are being left behind, also compared with the Nordics
While staff are off and running, companies are standing still. Only 14% of Icelandic companies have an AI policy in place (Statistics Iceland 2025). By comparison, the figure is 48% in the Nordic countries (State of AI in Iceland 2026). Iceland is not just slightly behind; the gap is more than threefold.
Professionals who use AI at work
Viska 2025Professionals who have received training from their employer
Viska 2025Icelandic companies with an AI policy
Statistics Iceland 2025Nordic companies with an AI policy
State of AI in Iceland 2026Read the table from top to bottom and the story is obvious: the usage is here, the training is not, the policy is not, and the neighbouring countries have already responded. For a manager this means two things at once: a risk nobody is managing and an opportunity nobody is seizing.
What happens in the gap between usage and policy?
When 80% use the technology but 14% of companies have a policy, a grey area forms. Three things happen in that area.
First, confidential data starts piling up in tools nobody has approved. An employee who pastes customer data into a free chat app is not breaking any rules, because the rules do not exist. Second, the difference in quality between employees becomes random: some get a good grip on the technology by themselves, others trust wrong answers. Third, the gain that matters most is lost, because the biggest wins from AI do not come from individuals tinkering but from workflows that are systematically rethought.
Research shows what is on offer when training is done right: 25 to 56% faster completion of individual tasks and 40% higher quality (Harvard/BCG 2023). Most notable for managers: the greatest improvement, 43%, was measured among those with the least experience (Harvard/BCG 2023). The gains are broadest where the training reaches everyone, not just the tech enthusiasts.
Why is this a management issue and not a technical one?
It is tempting to file AI under the IT department's projects. The numbers say otherwise. When 80% of staff use the technology, it touches every single department: finance, marketing, customer service, HR. Responsibility for data, quality and productivity lies with the managers of those departments, not with the system administrator.
The Nordic comparison then adds the competitive angle. Many of the companies you compete with, whether Icelandic or Nordic, have already started working on this systematically. 48% of Nordic companies with a policy means that nearly every other company there has decided how the technology is used, measured and protected.
The good news: the lead needed to stand out in Iceland is not large. When only 14% have a policy, a structured implementation in a single department is enough to be ahead of the vast majority. The gap that is a risk today is a head start for whoever acts first.
What you can do right now
- Ask your team directly. Send a short, anonymous survey: Do you use AI at work? For which tasks? Which tools? You get your own version of the 80% figure and then know where you really stand.
- Put one page of rules in place. You do not need a fully formed policy to start. A single page saying which data may go into which tools and what is off limits closes the biggest risk today.
- Find one recurring workflow. Pick one task the team does every week that takes more than an hour. Write down the steps. This is the most likely candidate for your first automation, whether you do it yourself or with help.
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