AI, explained for business
Short, down-to-earth pieces on what AI actually means for a business – written for people who want to understand the technology and see where it creates real value.
What is AI? A simple guide for businesses
AI isn't one thing but several. We untangle the terms – machine learning, generative AI and language models – in plain language.
AI agents in practice – what they are and where they help
AI agents can plan, use tools and carry out tasks on their own. But they don't fit everywhere. Here's what they actually are, where they belong, and how to stay in control.
What is vibecoding? The term, its origin and what it means
Vibecoding is one of the hottest terms in AI right now. Here we go through what it actually means, where it came from, and why it's changing how software is built.
What AI means for business
AI is no longer an experiment – nearly nine in ten companies use it. But most aren't yet getting the value. Here are the numbers and what they mean.
From pilot to production – how AI actually scales
Most AI projects get stuck as impressive demos. What separates the winners isn't the model – it's everything around it. Here's how to make the leap to production.
AI in go-to-market & workflows
Sales and marketing are where AI often pays off fastest. Here's where it helps most – prospecting, research and automation – and how to keep the quality.
How do you measure ROI on AI?
Many invest in AI but few measure the return properly. Here's a practical way to measure the value – beyond the feeling that things are faster.
The EU AI Act – what businesses need to know
The EU's AI regulation is in place and applies in stages. Here's an overview of what it means in practice for companies that use AI.
The Nordic AI gap: expectation without preparation
A recent Solita report shows almost all Nordic knowledge workers expect AI to change their work – yet few are preparing. We look at the gap, and what actually closes it.
How Swedish companies use AI – what the official numbers actually show
Statistics Sweden has measured, for the first time, how many Swedish companies use AI. One in three does – but the gap between large and small companies is wide, and that gap is the more interesting part of the picture.
How Nordic companies invest in AI – and why the return doesn't follow
A new BCG report, based on more than 300 interviews with Nordic business leaders, finds that only 4 percent see meaningful return on their AI investment. The reason has less to do with how much is spent, and more with what it's spent on.
AI and headcount: expectation has outrun the evidence
9 in 10 Swedish companies now expect AI to reduce headcount within five years, up from 16 percent a year ago. The labour market tells a different story: AI skills are now in demand across nearly twice as many professions as before.
AI and the division of labour: autonomy remains the exception
A global ISG survey of 400 senior decision-makers finds that less than 7 percent of AI-enabled work is fully autonomous today. In two years, that share is expected to reach only 13 percent, even among companies that keep raising their AI budgets.
AI and productivity: where the gains show up, and where they don't
Stanford's AI Index 2026 compiles a dozen studies on AI and productivity. Customer support, software development and marketing show real, measurable gains – but the macro-level picture is still early and mixed.
Automate admin tasks without replacing your systems
Repetitive admin work rarely shows up as one big problem. It hides in small handovers between people and systems.