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Scenario Modelling vs. Target-Setting

  • Jul 1
  • 4 min read

TL;DR: A target tells you where you're going. It says nothing about what you do when the world doesn't cooperate. Scenario modelling is what turns a commitment into a plan that survives contact with reality. Ask a sustainability manager for their 2030 emissions target and you'll get an answer in 10 seconds. Ask what happens to that target if carbon pricing lands two years late, a key supplier's decarbonisation stalls, or the abatement technology they budgeted for costs 40% more by 2027... Crickets.

It's not a knowledge gap, or a commitment gap - the people setting targets have done usually intense calculations and cleared high analytical bars to set them. It's just that a target sets a destination. It was never built to answer what you do when the path to getting there changes shape. Targets Aren't the Problem


Target-setting isn't optional theatre any more. Aotearoa New Zealand's Climate Standards require reporting entities to model at least 3 climate scenarios and explain how their target holds up under a 1.5°C-aligned pathway, not just state the number.[1]


The problem isn't the target. It's treating it as the whole strategy.


A target is a fixed point declared now, about a date that's years away. Scenario modelling doesn't predict what will happen - nobody can, honestly, over a decade. It tests what your plan does under several plausible futures instead. It's the only honest way to hold a target you set under real uncertainty.


Picture a regional food producer that set a 2030 target in 2022, assuming grid emissions factors would keep falling at the rate they had for the previous five years. By 2025, the grid has decarbonised faster than assumed in one region and stalled in another, where a new facility sits. Nobody lied. Nobody was careless. The target was built on a single line running to 2030, and our shared reality doesn't run in a single line (just ask Dr Strange and the Multiverse of Madness). Climate Transition Planning to Meet Targets is Hugely Complex Of the 1,245 Forbes Global 2000 companies with a net-zero target, nearly a third have no credible plan behind it. Only 7% of all tracked targets meet minimum robustness criteria [2]. Accenture's benchmark of the 4,000 largest global companies found just 16% on track for net zero in their own operations - flat on the year before.[3]

This isn't really a story about overstated ambition. It's that target-setting and plan-testing are different disciplines, and many organisations built capability for the first, not the second. Shell Learned This in 1971

In 1971, Shell's planning team, led by Pierre Wack, presented management with scenarios exploring what might happen if oil-producing nations restricted supply. Not a forecast - a rehearsal. When the 1973 OPEC embargo hit, Shell's leadership had already sat with that scenario. Most rivals hadn't.[4]

A simple way to think about this, is that a single forecast is a bet; a set of scenarios is a hedge. New Zealand - the first country to legislate mandatory climate disclosure - now formally asks every reporting entity to do this: model more than one trajectory, and show the target still holds in each. 4 Questions That Separate a Target From a Strategy

  • If a key input cost moves faster than assumed, does your target still make financial sense?

  • Have you tested against more than one policy or physical-risk trajectory, or only the one you're hoping for?

  • Is someone responsible for revisiting the target when the assumptions change?

  • Could you walk a board or auditor through the reasoning, not just the number?


If most answers are no, you have an aspiration. A fine place to start, but not yet a strategy.


Why This Gets More Expensive to Ignore


Regulatory trajectories aren't settling into one clean path - they're fragmenting. The EU scaled back CSRD's scope through its Omnibus reforms this year, the US SEC has moved to rescind its 2024 climate-disclosure rule, and Brazil shifted its regime from mandatory to voluntary - even as Australia, Japan, Singapore and Mexico brought mandatory ISSB-aligned reporting into force over the same period.[5] That's the condition scenario modelling is built for. A single static target isn't. Physical risk timelines are compressing on top of it, and organisations still running a target through one model built once are making the same error as Shell's slower competitors in 1973: mistaking a forecast for a plan.


This is the gap DataLoom exists to close - holding a climate target and a set of live financial scenarios in the same system, so the target stays accountable to reality rather than the year it was written.


A transition plan without scenario modelling is a target. Targets are aspirations. Scenarios are strategy. Sources

 
 
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