Why are battery minerals like Lithium and Cobalt highly volatile?

EV battery minerals are concentrated in a few countries (e.g., Chile, DR Congo) and require years to build new mining shafts. This causes massive price shocks when demand surges ahead of mineral refining capacity.

What is a "Software-Defined Vehicle" (SDV)?

An SDV is a car whose features, performance, and cabin experience are primarily managed by a central computer system, allowing the manufacturer to push over-the-air upgrades and unlock paid options remotely.

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Automotive & Mobility Consulting Case Preparation

The Automotive & Mobility consulting landscape is characterized by unique sector economics, regulatory constraints, and operational challenges. Automotive OEMs are transitioning from pure mechanical manufacturers to hardware-plus-software platform companies, managing raw battery material security, electric architecture, and driver assist subscription software. Key market sizing and performance trends driving the industry in 2026 include: Sodium-Ion Batteries: The commercial emergence of cheap sodium batteries for urban commuter cars, bypassing expensive lithium/cobalt supply chains. Software-Defined Vehicles (SDVs): Unified operating systems enabling remote car feature upgrades (over-the-air) after the sale. Autonomous Rideshare Hubs: Legacy OEMs partnering with autonomous driving companies to field municipal robotaxi networks. As a candidate preparing for case interviews, understanding the typical business models, KPIs, and competitive dynamics of Automotive & Mobility is essential for structuring high-impact solutions.

Common Case Types in Automotive & Mobility

Capital-allocation (ApexMotors: The Battery In-Sourcing Decision): A leading premium automaker is currently buying EV battery cells from an external supplier; evaluate whether to spend $3B to build an in-house Gigafactory.
Operations (CityRider: Autonomous Fleet Deployment): A ridesharing company wants to buy and deploy 5,000 autonomous robotaxis in Phoenix; calculate the fleet utilization rate needed to beat standard driver-led service costs.

Key Frameworks for Automotive & Mobility

EV Manufacturing Profitability Tree: Identify why a premium vehicle manufacturer is losing money on every electric SUV produced.
Application Pillars: EV Bill of Materials (Battery cell purchasing contracts, electric motor magnet costs) | Factory Capacity Utilization (Operating factory at 55% assembly utilization vs. 80% breakeven target) | Retail Pricing Moats (Lack of brand premium over competitive low-cost imports) | Inbound Logistics (Long-distance ocean freight shipping battery cells from distant factories)
Direct-to-Consumer Automotive Sales GTM: Analyze the trade-offs of bypassing traditional franchised dealerships for a new electric truck launch.
Application Pillars: Dealer Margin Savings (Bypassing 6-8% wholesale dealer markups to capture direct pricing) | State Regulatory Hurdles (Bypassing dealer protection franchise laws in several key states) | Delivery and Service Infrastructure (Building custom direct-delivery hubs and service bays from scratch) | Customer Experience Control (Consistent fixed pricing, direct-to-app customer data loops)

Practice Cases

ApexMotors: The Battery In-Sourcing Decision

A leading premium automaker is currently buying EV battery cells from an external supplier; evaluate whether to spend $3B to build an in-house Gigafactory.

              Difficulty: Intermediate • Duration: 35 mins • Type: Capital-allocation • Focus: Calculate the annual savings from the $25/kWh cost reduction, compare the net present value (NPV) against the $3B Capex outlay, and assess supplier-reliance risks.
            

CityRider: Autonomous Fleet Deployment

A ridesharing company wants to buy and deploy 5,000 autonomous robotaxis in Phoenix; calculate the fleet utilization rate needed to beat standard driver-led service costs.

              Difficulty: Intermediate • Duration: 35 mins • Type: Operations • Focus: Determine the annual vehicle mileage and the required daily passenger utilization hours to pay back the upfront autonomous hardware premium within 3 years.
            

Related Academy Lessons

The MECE Principle →
Structuring battery supply chain costs.
Chart Interpretation →
Analyzing plant capacity charts.

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