Insights
Original analysis from our editorial team on how AI is reshaping work, written to help you read the exposure index and labour data in a wider context, with sources.
Why AI Changes Jobs Slower — and More Unevenly — Than the Headlines
The distance between what AI can do and what actually runs at work is wide. In 2026, that gap is where most careers are really being decided.
Read the article →"AI Will Create More Jobs Than It Destroys" Won't Necessarily Catch You
The headline number is net positive. But a net gain across the whole economy is not the same as a soft landing for any one person.
Read the article →A Practical Way to Read Your Own Job's AI Exposure
Exposure is not really about your job title. It is about the mix of tasks inside it — and that is something you can map yourself.
Read the article →AI's Effect Shows Up First at the Bottom of the Career Ladder
Occupations are not vanishing top to bottom. The 2026 data points to pressure that concentrates at the entry rung — and that changes how an exposure figure should be read.
Read the article →"Safe From AI" Is Not the Same as "Safe"
Before taking comfort in a low score — "a safe occupation" and "unchanging work" are not the same thing.
Read the article →AI Reshapes Work Before It Replaces It
The people who lost their jobs make the news, but the larger group may be those whose job title stayed the same while the work became something else.
Read the article →