IT & TECH
Worko’s salary data shows a counter-intuitive shift in IT & Tech: specialized AI competence is associated with higher salaries in some areas, while several broader AI-adjacent, data and cloud clusters show negative salary effects.
In this sneak peek from our Scandinavian Salary Trends & Preferences Report 2026, the pattern is clear in both Sweden and Norway — scarcity matters more than AI exposure alone.

AI is not creating one broad salary premium across IT. The strongest positive signals appear where competence is harder to find, more specialized, or closer to complex application.
In Sweden, Robotics & Autonomous Systems shows one of the strongest positive effects of +1763 SEK/month. AI Governance also shows a strong positive signal at +1486 SEK/month, while Machine Learning & AI shows a positive but considerably smaller effect at +370 SEK/month.
In Norway, Robotics & Autonomous Systems shows +5891 NOK/month. AI Governance shows +2014 NOK/month, while Machine Learning & AI shows +2251 NOK/month.
This suggests the market is separating scarce AI competence from more widely available AI-adjacent skills.

One of the clearest findings is that AI salary value depends heavily on what kind of AI competence we are talking about.
The market does not seem to reward AI as a single category. Some skills point toward scarcity, applied depth and difficult technical problems. Others sit in broader, more supplied clusters where many candidates may share similar tools, frameworks or keywords — and that difference matters.
In Sweden, Machine Learning & AI still shows a positive effect, while more specific areas such as AI Governance show stronger premiums.
In Norway, the positive effects are concentrated higher in the market. AI Automation shows +3621 NOK/month, while Machine Learning & AI and AI Governance also show large positive effects.
The signal is not simply: “add AI to your profile” — but rather: show where your AI competence creates value.
This is the most counter-intuitive finding: some broad AI, data and platform-related clusters show negative effects in both markets.
In Sweden, Statistical Data Science & Forecasting (R, Snowflake, SQL, etc.) shows a negative effect of -2335 SEK/month. Data Engineering (Apache Spark, Bayesian Machine Learning, Databricks, etc.) shows -1740 SEK/month, while Cloud AI & ML Platforms shows -1956 SEK/month.
In Norway, Cloud AI & ML Platforms (Azure Machine Learning, Cloud AI) shows the strongest negative effect at -4143 NOK/month. Data Science & Analytics Infrastructure (NumPy, Pandas, Power BI, etc.) shows -2511 NOK/month, and Data Engineering & MLOps Infrastructure (BigQuery, Data Visualization, Docker, etc.) shows -2169 NOK/month.
That does not mean these skills are unimportant, but they may no longer be rare enough to create automatic salary leverage.
One possible explanation is that widely shared tools and platforms no longer create automatic differentiation. The stronger salary signals appear closer to application depth, ownership and scarce competence.
The question is no longer simply: “Which AI skills should I learn?”
A better question is: “Which part of my competence becomes more valuable because AI exists?”
For some, the answer may be scarce technical specialization. For others, it may be governance, automation, machine learning, robotics, architecture or the ability to apply AI safely and usefully in real workflows.
As AI makes repeatable tasks easier, the market may start paying more for the parts of IT work that are harder to copy: judgment, context, ownership and applied expertise.
The early signal is especially important because AI competence is becoming more common. When a skill becomes common, the salary premium does not disappear everywhere — but it moves closer to the places where the skill is harder to replace.
This is only one part of Worko’s Scandinavian Salary Trends & Preferences Report 2026 for IT & Tech in Sweden and Norway.
The full report looks closer at which roles and skills are gaining pricing power, which ones are under pressure, and what the shift means for career planning in a market where AI is changing the value of competence.
The early signal is clear: AI is not creating one uniform salary effect across IT. Instead, the data exposes a growing difference between broad exposure and competence that appears harder to replace.
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