In partnership with
Hey friends, happy Wednesday.
For the past two years, most conversations about AI at work have focused on speed.
Teams ship faster.
Reports generate instantly.
Code drafts itself.
Customer support scales without hiring.
The dominant narrative has been simple:
Automation reduces labor.
But if you zoom out, something more structural is happening.
As execution accelerates, its scarcity declines.
And when scarcity declines, value moves.
Not upward in title.
Upward in abstraction.
This is what I call the AI Career Pyramid:
Execution → Orchestration → Innovation
Every role is gradually being pulled upward along this hierarchy.
Not because organizations are redesigning job ladders.
But because automation is hollowing out the base layer.
Today, I want to unpack what that actually means in practice:
What the data says about automation and skill shifts
Why execution is quietly becoming baseline
What orchestration looks like inside AI-native teams
Why innovation is increasingly structural, not creative
Where compensation bands are widening
The execution trap that strong performers fall into
A 3–5 year roadmap to climb
A 90-day repositioning plan
And a simple diagnostic to assess where you’re operating today
Let’s zoom out.
— Naseema Perveen
IN PARTNERSHIP WITH VIKTOR
The ops hire that onboards in 30 seconds.
Viktor is an AI coworker that lives in Slack, right where your team already works.
Message Viktor like a teammate: "pull last quarter's revenue by channel," or "build a dashboard for our board meeting."
Viktor connects to your tools, does the work, and delivers the actual report, spreadsheet, or dashboard. Not a summary. The real thing.
There’s no new software to adopt and no one to train.
Most teams start with one task. Within a week, Viktor is handling half of their ops.
