Why AI changes the approach
Carbon pricing (internal carbon tax, shadow pricing, carbon accounting) forces carbon costs into financial decision-making. This drives real reduction and creates business opportunities.
Step-by-step
- 1
Define internal carbon price: What should you charge per ton CO2e? (e.g., $50-$200/ton, depending on industry)
- 2
Ask AI: "How do we embed this in financial models? Capital budgeting? Product pricing? P&L?"
- 3
Apply to major decisions: New equipment? Supplier choice? Product redesign? Calculate true cost including carbon
- 4
Create carbon budget: Allocate emissions allowance per division; if they exceed, they pay internal carbon tax
- 5
Reinvest carbon revenue: Fund emissions reduction projects, renewable energy, etc.
Ready-to-use prompts
Adapt to your actual files and context before using.
We're implementing internal carbon pricing at $[X]/ton. How do we integrate this into our capital budgeting, product pricing, and P&L?
Design a carbon budget system. We want each division to have emissions allowance; exceeding costs money. How do we structure this?
Output template
Carbon price defined, financial models updated, carbon budgets allocated, internal carbon market tracking
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