Today, I found the anchor piece for my annual essay: Anthropic’s Scenarios for our Economic Future.
While the shift has been palpable for some time, this article served as a stark wake-up call—underscoring that knowledge-work roles like mine sit squarely in the crosshairs of exponential AI advancement.
Provoked by this realization, I mapped out how the strategy ops function is likely to evolve across three distinct phases: the manual era, the AI-assisted era, and the AI-led era.
Below is a projection of what this role will look like in the AI-led paradigm—likely by 2030.
Strategy Ops Role
The following is a text version of the role map shown in the original note:
| Stage | Work covered |
|---|---|
| Goal Setting | Metric-factor breakdown; problem diagnosis; factor prioritization |
| Data Insight | Attribution analysis; hypothesis generation |
| Strategy Design | Strategy drafting; experiment design; decision / sign-off |
| Execution | Securing resources; team coordination; plan execution; execution monitoring |
| Review | Impact evaluation; ROI accounting; iteration decision |
| Capability | Methodology codification; first-principle abstraction; monitoring system build |
New Tasks
- Data & knowledge structuring
- Prompt / skill orchestration
- AI output QC