There’s a growing assumption that AI will “replace” traditional forecasting.
In reality, AI depends on it.
Forecasting provides:
- Structure
- Baselines
- Constraints
- Scenario boundaries
Without these, AI outputs become reactive, opaque, and difficult to trust.
In regulated and public-sector environments especially, forecasting remains essential because it:
- Supports long-term planning
- Enables scenario comparison
- Makes assumptions explicit
- Creates accountability
AI works best when it extends forecasting, not when it attempts to bypass it.
The strongest systems combine:
- Statistical forecasting
- Domain expertise
- AI-assisted exploration
This is how insight becomes decision-ready.