Automotive
How the automotive industry works, and the finance, marketing, data and AI that run it.
The programs
Five programs, one per domain of the Automotive sector. Every one is readable straight away, without an account, and you can gauge your level on any of them whenever you want.
Automotive
This block builds foundational fluency in the automotive sector, from vehicle design and component sourcing through manufacturing, distribution, retail, and aftersales.
18 lessons · about 4h
- Map the automotive value chain and pinpoint where margin concentrates across OEMs, suppliers, and dealers
- Analyze competitive dynamics between incumbents and EV challengers and assess each player's bargaining power
- Identify the emissions, safety, and type-approval regulations that constrain operations in the US and Europe
Finance for Automotive
Automotive finance operates on thin margins, heavy capital intensity, and long product cycles that tie up cash for years before returns materialize.
31 lessons · about 6h
- Map the automotive value chain and pinpoint where margin concentrates across OEMs, suppliers, and dealers
- Analyze competitive dynamics between incumbents and EV challengers and assess each player's bargaining power
- Identify the emissions, safety, and type-approval regulations that constrain operations in the US and Europe
Marketing for Automotive
This block builds marketing fluency specific to the automotive sector, where long purchase cycles, high-consideration decisions, and a dealer-OEM split shape every campaign.
31 lessons · about 6h
- Map the automotive value chain and pinpoint where margin concentrates across OEMs, suppliers, and dealers
- Analyze competitive dynamics between incumbents and EV challengers and assess each player's bargaining power
- Identify the emissions, safety, and type-approval regulations that constrain operations in the US and Europe
Data for Automotive
This block builds data fluency for the automotive sector, spanning vehicle telematics, connected-car streams, manufacturing and supply chain data, dealership CRM, and warranty and quality records.
31 lessons · about 6h
- Map the automotive value chain and pinpoint where margin concentrates across OEMs, suppliers, and dealers
- Analyze competitive dynamics between incumbents and EV challengers and assess each player's bargaining power
- Identify the emissions, safety, and type-approval regulations that constrain operations in the US and Europe
AI for Automotive
This block builds practical AI fluency for the automotive sector, spanning the full value chain from design and manufacturing to connected vehicles, autonomous driving, and aftersales.
31 lessons · about 6h
- Map the automotive value chain and pinpoint where margin concentrates across OEMs, suppliers, and dealers
- Analyze competitive dynamics between incumbents and EV challengers and assess each player's bargaining power
- Identify the emissions, safety, and type-approval regulations that constrain operations in the US and Europe
Automotive is a vast, capital-intensive supply chain mid-transformation to electric, software-defined and increasingly autonomous vehicles. This vertical gives you the big picture, then finance, marketing, data and AI applied inside it.
Key terms
Why specialize in Automotive?
Cross-cutting skills are not enough in the Automotive sector. It plays by its own rules: a distinct value chain, specific players and balance of power, dense regulation, and key figures you won't find anywhere else. This vertical gives you that sector fluency: first the big picture, then finance, marketing, data and AI applied concretely to Automotive, with the calculations, benchmarks and checklists you actually need on the ground.
What you'll be able to do
- Understand how the Automotive sector works: value chain, key players and balance of power
- Know the major regulations and laws, the sector's acronyms and vocabulary
- Run the key calculations and read the benchmarks specific to Automotive (US and Europe markets)
- Apply finance, marketing, data and AI to the realities of Automotive
- Gauge your level with 5 sector assessments and a competency radar
70 lessons across 16 modules and 5 blocks, with a test per lens and a sector competency radar. Free to read, no account required.
The curriculum in detail
Automotive: how the sector works
Generalhow automotive works: OEMs and tiered suppliers, platform and scale economics, the dealer and financing model, and the EV/software transition.
4 Modules · 18 Lessons
Finance in automotive
Financeautomotive finance: capital intensity and platform amortization, thin per-unit margins, captive finance and residual value, and the EV cost curve.
3 Modules · 13 Lessons
Marketing in automotive
Marketingautomotive marketing: the long consideration funnel, brand and the dealer network, financing as a lever, and the shift to direct/online sales.
3 Modules · 13 Lessons
Data in automotive
Dataautomotive data: connected-vehicle telemetry, manufacturing and supply-chain data, quality and recalls, and data ownership/privacy.
3 Modules · 13 Lessons
AI in automotive
AIAI in automotive: ADAS and autonomy, manufacturing and quality, connected-car services, and the safety/validation bar.
3 Modules · 13 Lessons
Prefer to place yourself first?
Five short assessments, one per domain of the Automotive sector. Ten questions each, three minutes, and a competency radar once you have taken more than one.
All sector assessmentsLatest articles
What the blog publishes on Automotive, across every discipline.
- Finance$100/kWh and falling: the battery cost math every automotive CFO must ownThe $100 per kilowatt-hour threshold has long been treated as the point at which electric vehicles become cost-competitive with internal combustion equivalents on a per-unit basis. But in a year when consumer confidence has hit a 12-year low and EV demand is softening across major markets, CFOs need to understand exactly what that number means for their break-even models, and where it breaks down.
- DataTrack Boeing's component data the way their regulators now demandWhen a 737 MAX fastener is installed without a traceable birth record, the liability lands on the assembler, not the tier-3 supplier who made it. Boeing's multi-year effort to close that gap shows what end-to-end traceability actually costs to build, and what it costs more to ignore.
- FinanceCaptive finance arms: how automakers use off-balance-sheet structures and residual value exposure to fund sales volumeAutomakers have spent decades building financial subsidiaries that let them sell cars without the debt appearing to threaten the parent's investment-grade rating. With core CPI again exceeding forecasts in September 2026 and rate-cut expectations fading, the mechanics of that structure, and its hidden risks, deserve a CFO's full attention.
- FinanceBelron's IPO field guide: the people, precedents, and pressure points that define mega-listing readinessBelron's reported exploration of a mega-IPO puts one of Europe's most quietly formidable private businesses under the public-market microscope. This field guide maps the players and precedents that every CFO preparing for a major listing should know cold.
- AIHow ADAS perception stacks turn sensors into real-time driving decisionsEvery ADAS system makes dozens of life-critical inferences per second, chaining raw sensor data through fusion, object classification, and decision logic before a human blinks. Understanding how that pipeline actually works, and where it can fail, is not optional knowledge for automotive AI leaders.
- FinanceThe night Chrysler's CFO discovered the credit market had closedIn late 2008, Chrysler's treasury team woke up to a commercial paper market that had effectively stopped functioning overnight. What happened next became one of the most instructive case studies in corporate liquidity management that business schools still use today.
Frequently asked questions
What does this automotive vertical cover?
It covers five blocks: how the automotive sector works, then finance, marketing, data and AI applied inside it. The first block sets up OEMs and tiered suppliers, platform and scale economics, the dealer and financing model, and the EV/software transition; the four others take the same industry through a specific lens.
Who is it for if I don't work at a carmaker?
It works for anyone in the automotive supply chain or adjacent to it: tier-1 and tier-2 suppliers, dealer groups, captive finance, mobility services, or a software vendor selling into OEMs. The economics of platforms, per-unit margins and residual value shape decisions well beyond the OEM itself.
Where should I start?
Start with the sector block if you are new to automotive. Without the tiered supplier structure, platform amortization and the dealer model in mind, the finance and marketing blocks lose their footing. If you already work in the industry, go straight to the lens that matches your role.
Is there a diploma or certification at the end?
No. There is no diploma, no state-recognized certification and no affiliation with any school or university. Reading is free and open; an account only keeps track of where you stopped.
Why is automotive finance treated separately from general corporate finance?
Because the cost structure is unusual: platform development is amortized over years and high volumes, per-unit margins are thin, and a large share of profit sits in captive finance rather than in the vehicle sale. Add residual value risk on leases and the EV cost curve, and the standard corporate finance playbook needs adjusting.
What makes automotive marketing different from other consumer categories?
The consideration funnel runs for months, not minutes, and the sale itself usually happens in a dealer network the brand does not fully control. Financing terms often move the decision more than the product message, and direct/online sales are now redistributing who owns the customer relationship.
What kind of data does the automotive data block deal with?
Three sources: connected-vehicle telemetry from cars in the field, manufacturing and supply-chain data from plants and suppliers, and quality data feeding warranty and recall decisions. It also covers who owns vehicle data and the privacy constraints attached to it.
Does the AI block only talk about self-driving cars?
No. Autonomy and ADAS are one part; the block also covers AI in manufacturing and quality inspection, and connected-car services. It insists on the safety and validation bar, which is what separates an automotive AI deployment from a model shipped in a consumer app.