Eight plausible futures, three scenarios, one strategic roadmap
A major global automotive manufacturer needed to understand how the US mobility landscape might evolve by 2030 — and what product, service, and strategy decisions to make now, given that the future could unfold in radically different ways. The challenge wasn’t predicting the future. It was building a framework that would be useful regardless of which future arrived.
Electric vehicles, autonomous technology, micro-mobility, shifting car ownership patterns, infrastructure gaps, climate policy, and deep uncertainty about post-pandemic commuting behavior were all in play simultaneously. The client needed a way to hold that complexity without being paralyzed by it — and to produce concrete product implications from it.
The program began by mapping what we knew with confidence — eight structural certainties about the US mobility landscape through 2030: the shift from ownership to subscription models, worsening class stratification in mobility access, infrastructure funding gaps, the staying power of solo commuting, accelerating state-level policy innovation, the absence of a single alternative fuel solution, autonomy rolling out through fleets in controlled zones first, and the automotive data economy approaching $450–750B in value.
Against those certainties, we identified five key uncertainties — environmental, economic, policy, infrastructure investment, and social — that could drive wildly different outcomes. These uncertainties were combined into 2x2 matrices to generate scenario seeds, which were then developed into eight fully articulated plausible futures with distinct names, characteristics, and strategic implications: Energy Renaissance, Rampant Mobility, A Tale of Two Classes, Empowered Citizen, The ICE Age, Think Locally Act Locally, First to Finnish, and Old Habits…
Three of the eight were selected for deep development into full scenario narratives with corresponding product strategy roadmaps extending to 2030. Each roadmap was structured along two axes — nearer-term versus longer-term investments, and different strategic postures — and illustrated specific product implications tied to EV platforms, autonomy, micro-mobility, service design, and charging infrastructure.
A key deliverable was a data visualization of projected US auto sales by body type across all three scenarios — CUVs/SUVs, compacts, sedans, pickups, luxury, MPVs, and green vehicles — with CAGR projections showing how sales volume and mix would shift depending on which future materialized. Seeing the numbers side by side made the stakes of each scenario concrete and decision-relevant.
Eight plausible futures — each with distinct strategic implications
Scenario divergence — from present to three futures by 2030
Product roadmap to 2030 — Energy Renaissance and Rampant Mobility scenarios with specific vehicle and service implications
Old Habits…
Cities’ changes to ease congestion are insufficient against the hard-to-kick habit of driving. ICE SUVs and CUVs remain dominant. Congestion worsens significantly.
Energy Renaissance
Demand for AFVs skyrockets through supportive policy and technological advances. People replace ICE vehicles with green alternatives at scale. Total sales rise to ~20.8M units (+1.5% CAGR).
Rampant Mobility
Alternative transportation modes proliferate. Car ownership declines. Micro-mobility takes off. Total sales fall to ~16.4M units (-0.4% CAGR). Service design and multi-modal experience become critical.
Strategic Postures
Each scenario mapped to concrete product implications: BEV CUVs, hydrogen platforms, AV-enabled NEVs, modular interiors, multi-modal safety systems, charging infrastructure, and connected data services.
The program delivered not a single prediction but a structured way of thinking about product strategy under uncertainty — with enough specificity to make near-term investment decisions and enough range to remain useful as the actual future unfolded. The roadmap gave the client a clear view of which product bets were robust across scenarios, which were scenario-dependent, and where the highest-stakes uncertainties lay.
The data visualization work — particularly the auto sales projections by body type across scenarios — translated complex foresight thinking into a form that executive stakeholders could read and act on directly. It also made the strategic divergence between scenarios viscerally clear: the difference between an Energy Renaissance and a Rampant Mobility future wasn’t just philosophical; it was a difference of millions of units and entirely different product mixes.
Plausible futures fully articulated from STEEPL uncertainty mapping — each with distinct strategic implications and named scenario identities.
Deep scenarios developed into full strategic roadmaps to 2030, with product implications across EV, AV, micro-mobility, and service design.
Unit difference in projected US auto sales between the highest and lowest scenarios — visualized clearly to anchor strategic decision-making.
The framework’s value: robust across whichever future arrived, giving the client a durable way to reassess strategy as conditions evolved.