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Hey friends, happy Wednesday.
Lately, I’ve been thinking that most of the conversation around AI and work is still missing the point.
A lot of the focus is on what AI can do faster. But the more important shift is what it’s doing to the value of work itself. Some kinds of work are becoming more useful and more leveraged, while other kinds are quietly getting cheaper.
That’s why some people are pulling ahead so quickly. They’re using AI to reduce the time they spend on execution and putting more of their energy into judgment, prioritization, and decisions. Others are still working hard, but in areas where the value is starting to fall.
So today, I want to break down what’s actually changing, what the data says, what top performers are doing differently, and how to make sure you’re building the kinds of skills that matter more in an AI-first job market.
What we’ll explore today
The real shift most people are missing
Why execution is getting cheaper
The data behind the change
What top performers are doing differently
The AI-first skill stack in practice
The coordination trap and why it matters
A practical 90-day repositioning plan
— Naseema Perveen
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