The year 2025 has been a significant year for AI learning in Finland. At Goodin.fi, we’ve trained around 1,500+ people in the basics and everyday use of GenAI. This group gives us an unusually clear view of where Finnish organisations truly stand with LLM technology.
Below are six patterns and one fact that appear consistently across almost every group we train.
1. Half still have no real touchpoint
Around 50% of participants have never opened an LLM before the course.
This isn’t about the technology – it’s about caution, uncertainty, and the lack of guidance.
Once people start experimenting in a supported environment, the hesitation fades quickly. Many express the same thought:
“I didn’t know what I was supposed to ask, so I didn’t dare to start.”
2. Usage falls into three clear levels
Among those with at least some experience, usage forms a consistent three-tier structure:
90% use LLMs very lightly: translations, summaries, and simple edits
10% use them more actively, but still at a surface level. Few users actually use frameworks, build consistent logic, or design workflows around the model
Deep usage is extremely rare
Custom GPTs, structured tools, and process-level thinking are still marginal
This pattern repeats across almost every organisation.
3. Agents generate interest – but they are not simple
Agents and custom GPTs now come up in almost every discussion compared to early 2025. Interest is strong, but real hands-on work is still limited.
Across our training groups:
About 50 people have built a custom GPT
About 20 people have built an agent (usually as a team)
Building an agent isn’t a “just do it” button. It requires quiet technical intuition, process thinking, and a willingness to experiment. Many are only now developing these foundational skills.
This is why claims that “2025 is the year of agents” is more about marketing than reality. The real “agent year” in everyday work is likely closer to be realised end of 2026–2027.
4. Understanding is rising quickly – usage more slowly
Between January and November, the change is clear:
People now better understand what LLMs do and don’t do
They recognise the importance of context
The model is seen more as a conversation partner, not just a text machine
Yet everyday use is still largely task by task, not a continuous partnership with the model.
5. The “sparring partner” mindset works
One of the strongest findings relates to mindset. When the model is seen as a sparring partner, usage becomes more natural and relaxed. In our courses our mission, which is stated at the start of the course, is to make LLMs your sparring partner and at the end we ask how we succeeded and the results are striking:
95% of participants respond to our feedback survey
Of those, 97% say the model became a sparring partner during the course (N=1000)
Once people understand how an LLM works and where its limits lie, their usage becomes instinctive.
The barrier isn’t technical – it’s emotional.
6. The biggest shift is in thinking, not yet in routines
The most notable change in 2025 is not what people do with LLMs.
It is that more and more people understand what an LLM is, what it can be used for, and how it should be used. This unlocks internal conversations, role clarity, and new ways of dividing work.
One client summarised it perfectly:
“A truly educational course that has brought AI into everyday life and sparked many internal discussions.”
And the one fact: The term Artificial Intelligence as a singular is the most misguiding term and should be completely abolished to create better understanding.
What does this tell us about Finnish organisations in 2025?
Based on everything we’ve seen in our training data, the situation looks like this:
🙌 Interest is growing relatively fast, but not like we inside the AI bubble think
🙌 Usage is growing slowly – especially if the emotional barrier isn’t lifted
🙌 Deep usage is still rare – People think this is a new google and naturally that will limit exploration as what you do with google is already a habit – and as we know habits are hardest to change.
Finland is now in a phase where understanding is expanding, but everyday AI- Human working habits are still forming.
This is a natural stage – and right now is the ideal moment for organisations to build their LLM strategy before the next major shift arrives.
