AutoMobility Summit 2026: The automotive industry’s pivot from volume growth to lifecycle value creation
Across OEMs, captives, and ecosystem players, leaders agreed the industry is moving beyond volume economics toward AI-enabled, lifecycle-driven operating models.
On 21 May 2026, senior leaders from OEMs, captives, dealers, fleets, insurers, marketplaces, and technology firms gathered in Paris with a shared recognition: the easy narratives have run out. Electrification is inevitable, software-defined vehicles are here, and AI is accelerating—but profitability, resilience, and customer trust have not kept pace.
Across the day, participants confronted a double bind: demand for mobility remains strong and the European fleet has grown by 15 million vehicles since 2019, yet new-car volumes are “flattish,” EV residuals are volatile, and downstream margins are under renewed pressure. The central message emerging from the discussions was unambiguous: the industry’s next curve will be defined less by breakthrough launches and more by orchestrating lifetime value—across vehicles, customers, and ecosystems—while modernizing the IT and operating backbone to make AI and data work at scale. Leaders called time on incrementalism; the winners will combine disciplined economics with open, partner-led models that turn friction into advantage.
From unit growth to lifetime value
The era of volume-led growth is over; portfolios are resetting at higher costs of funds, and the used-car windfall has normalized. Executives argued for a wholesale pivot from point-of-sale success to end-to-end economics—margin per asset and per customer across first, second, and third life.
Leasing and mobility services are becoming the growth engine as demand decouples from private ownership. Captives are moving from back-end financiers to front-line orchestrators of the entire journey, with agent models gaining traction among fleets for transparency.
The implication is structural: tighten underwriting and residual governance, build renewal engines, and monetize in-life services and remarketing. “Leasing is like mathematics,” noted Markus Collet. “If you push too hard on one side, you pay the price on the other.”
EV normalization: profit, risk, and the trust layer
The EV transition has entered its difficult middle. Charging speeds and ranges are improving, yet profitability lags, with more than $70 billion in recent OEM write‑offs tied to EV and software bets. Residual values are unstable amid rapid tech cadence and price pressure from new entrants.
Leaders converged on a pragmatic agenda: treat battery health as a financial instrument; standardize state‑of‑health reporting; build battery repair capacity to curb claims severity and downtime; and integrate charging performance into acquisition and remarketing, not just range. As one executive put it, “You lose four percent if you don’t have battery health.” Used EV leasing can be compelling—15–25% cheaper than new—if packaged simply (“service, maintenance, insurance”) and underpinned by verifiable data.
The unresolved tension: how quickly the industry can harmonize health metrics and repair pathways to stabilize residuals while designing BEVs for repairability, not just manufacturing efficiency.
AI moves from pilots to operating system
A clear split is opening between AI leaders and laggards. Survey data shared at the event placed average downstream AI maturity at 2.9/5, with a 1.5‑point gap between leaders and the rest. The difference is not algorithms but intent and operating model: leaders make AI a business initiative, modernize data foundations, and scale agents into daily workflows.
Examples ranged from agentic platforms that orchestrate sourcing, pricing, publication, and lead handling, to back-office automation that turns hours of invoice triage into minutes with near‑zero errors. One digital‑native reported monthly automated actions rising from under 50,000 to 400,000, targeting one million by year‑end. Crucially, incumbents showed that orchestrating the full commercial chain—stock mix, acquisition, pricing, and channel strategy—yields compounding gains; one group cited €4.3 million in savings and market‑share growth at twice the market’s rate.
The lesson: culture and governance eat algorithms. Train executives and frontline teams, standardize internal design and prompt systems, and measure adoption as rigorously as accuracy.
Dealers reinvented: from “moving metal” to managing relationships
Predictions of the dealership’s demise gave way to a more demanding mandate. The final mile remains local, human, and trust‑intensive—especially as customers navigate EV complexity and financing options. The “phygital” journey must be industrialized: fast, high‑quality responses to digital leads; seamless handoffs across online and offline; and advisors who simplify choices.
Dealers are natural local mobility operators, extending into subscriptions and fleet services where physical assets, workshops, and remarketing expertise are differentiators. Scale matters for platform, data, and cybersecurity investment, but execution stays local. The forward model blends centralized capabilities with entrepreneurial local performance, under a new OEM–dealer compact that shares data and aligns incentives around lifetime value, not unit throughput. “The dealer’s role is becoming more important, but also much more demanding,” one keynote emphasized.
IT first, then AI: turning legacy into leverage
Beneath every aspiration sat an uncomfortable truth: you can’t do AI—or software-defined services—on decades‑old core. Leaders likened core renewal to “open‑heart surgery,” but consensus held that progressive modernization is now non‑negotiable. The pattern: carve out high‑impact domains (pricing, aftersales, finance, dealer ops), deploy cloud platforms and APIs, decommission legacy in waves, and treat data products with ownership and SLAs.
One financial services CEO set a goal to cut average system age to 12 years by 2027, shifting to best‑in‑class platforms to regain agility. The strategic payoff is direct: cleaner data enables explainable AI in underwriting, faster OTA cycles, interoperable partner ecosystems, and compliance‑ready auditability.
Ecosystems over empires: collaborating for resilience
Across topics—EV economics, AI scale-up, customer conversion—speakers argued for open, partnered ecosystems. Downstream value depends on connecting “blocks of value” across OEMs, captives, dealers, portals, insurers, charging networks, recyclers, and tech suppliers. API‑led integration and clear data‑sharing rules turn friction into margin. Pre‑competitive standards (battery passports, service records, charging uptime) lower integration costs and stabilize risk. As one executive framed it, the goal is “orchestrating value”—capturing usage, renewals, energy, and remarketing across multiple cycles.
Key takeaways
Pivot from units to lifetime value:
Rebase EV assumptions:
Make AI a business system:
Reinvent retail:
Modernize the core:
Build open ecosystems:
So what's next?
The discussions sketched a pragmatic, harder-edged vision of mobility’s next phase. Consensus has formed around the pivot from volume to lifecycle value, the need to rebuild EV profit pools with repairability and battery transparency, and the urgency of scaling AI as a decision fabric embedded in business operations. The unresolved questions are pragmatic, not philosophical: how fast can incumbents modernize brittle IT, align data standards (especially for battery health), and operationalize multi-cycle leasing at affordable price points? Where do OEMs and captives draw the line between owning capabilities and partnering for speed?
Leaders should watch four fronts: advances in battery data standards and certified repair networks; the spread of agentic, demand-led dealer operating systems; financing models that price software and usage alongside mileage; and the pace at which organizations institutionalize AI—through governance, orchestration, and frontline adoption. The tunnel remains volatile, but the path is actionable: orchestrate the ecosystem, wire decisions to data, and measure success in unit economics and customer retention. In the new mobility market, standing still is not an option; orchestrating value at scale is the only one.
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