The automotive industry has always operated in cycles. I have lived through several, as a technologist, an operator and someone who has sat in the room when the old playbook stopped working.

But what we are navigating today is not a cycle. It is a structural shift.

Geopolitical instability, energy volatility, fragile logistics networks and the rise of software-defined vehicles are colliding simultaneously — and at a speed traditional operating models were never designed to absorb.

I learned this the hard way. I have also seen what it looks like when you get it right.

The World Stopped. We Had to Reimagine Everything.

In early 2020, COVID shut down the global economy almost overnight. For automotive, it exposed a critical flaw. The entire customer experience depended on physical presence. No customers in dealerships meant no sales. It was that simple, and that fragile.

At Fiat Chrysler, we moved fast. We launched a full suite of online marketing and virtual retail capabilities, including photorealistic augmented and virtual reality experiences in partnership with Google. Customers could configure a vehicle, explore it in three dimensions, and experience it as if it were in their driveway, all from home.

At peak deployment, these tools drove 25% of global sales.

That was not a pilot. It was a reimagined customer journey at scale. It worked because we did not treat digital as an add-on. We rebuilt the experience from the ground up.

That is the only version of transformation that works.

The Dealer as a Value Partner

At Stellantis, the challenge shifted. With connected services, we were moving from one-time vehicle sales to recurring revenue, including subscriptions for safety, convenience and experience.

But those revenues only materialize if customers activate them.

That made the dealer not just a sales channel, but a critical activation partner.

Dealers had to understand software, subscription tiers and customer value, not just price points. If they could not explain why a service mattered, it did not get activated. Revenue did not flow.

We aligned incentives accordingly by tracking app downloads and customer activation and tying performance to connectivity, not just transactions.

The dealer became a stakeholder in the model, not a passenger.

The Mobile App as the Relationship Engine

One of the most impactful decisions we made was turning the mobile app into a revenue driver.

Once a customer’s profile was enabled, the app became intelligent. It used vehicle telemetry and service intervals to prompt maintenance scheduling directly with the dealer. There were no phone calls and no friction.

The result was measurable. We saw increased service traffic and higher dealer revenue.

This reinforces a core principle: Technology does not create value by existing, but by changing behavior and closing loops.

Why AI Is Foundational

The urgency today is driven by three forces:

• Accelerating risk: Geopolitical disruptions, trade constraints and logistics bottlenecks now create nonlinear shocks across the value chain in days.
• Compressed decision windows: The gap between insight and action has collapsed. Delayed decisions now mean lost margin, misaligned inventory and eroded trust.
• Complexity at scale: Across suppliers, logistics, dealers, connected vehicles and financial systems, the ecosystem is too complex for human coordination alone.

This is not about AI as a capability. It is about AI as infrastructure, in the same way ERP and mobile became essential. You cannot compete without it.

Dealer Forecasting in a Nonlinear World

Traditional dealer forecasting relied on historical data and intuition. At Stellantis, we built something different — together with dealers, not for them.

Dealers contributed ground-level intelligence, including local demand, economic conditions and competitive dynamics. We combined that with OEM data such as connected vehicle telemetry, inventory, digital engagement and macro signals.

The result was a shared, continuously updating model.

When fuel prices shift, the system detects demand changes early. When logistics delays occur, it models downstream impact before it reaches the lot. Dealers can act proactively rather than reactively.

This is the key lesson. AI works when OEMs and dealers align around shared data and outcomes.

Better forecasts are not the goal. Better decisions, made faster and with higher confidence, are.

What It Actually Takes

Too many organizations treat AI as a collection of pilots, with forecasting in one place, maintenance in another and optimization elsewhere.

Real value requires three commitments:

• Unified data: You cannot build intelligence on fragmented systems. ERP, DMS, CRM, connected vehicles and logistics data must be integrated.
• Embedded intelligence: AI must sit inside workflows, not alongside them. At Stellantis, we did not give dealers dashboards. We embedded intelligence into apps, service prompts and incentives. That is what changed behavior.
• Financial alignment: AI must move core metrics such as inventory turns, working capital, margin and recurring revenue. If it does not, it is a cost center.

The automotive industry has always adapted. I have seen it through digitization, connected vehicles and the shift to online sales during the most disruptive event of our generation.

In every case, the winners reimagined the architecture of the customer experience, the dealer relationship and the revenue model.

That is what AI demands now.

Stop treating it as a layer. Start treating it as the operating system of a resilient, intelligent enterprise.

Resilience is no longer about absorbing shocks. It is about anticipating them and adapting before they arrive.

That is the only version of ready that matters now.

Mamatha Chamarthi is an AI transformation executive, a former technology leader at Stellantis, and the founder and CEO of a stealth-stage firm.