Inevitable Review: Mike Colias on the EV Transition, Industrial Competition, and Why “Inevitable” Does Not Mean Linear

Books / Industrial Strategy & EVs

Mike Colias chose a provocative title for a book about electric vehicles: Inevitable. The word sounds like certainty. The reporting inside the book is much more useful than that. Colias documents an industrial transition in which almost nothing happens cleanly—legacy automakers overcommit and retreat, consumers adopt at different speeds, factories struggle, battery economics shift, dealers resist, Chinese manufacturers gain scale, Tesla changes the competitive reference point, and policy accelerates or slows the path.

That mess is the real story.

By 2026, the book can be evaluated against another year of evidence. The global transition is still moving: the International Energy Agency reports that electric cars reached one-quarter of global new-car sales in 2025, with China far ahead, Europe accelerating again, and the United States remaining below 10% share amid policy changes. That pattern supports Colias’ broad thesis while undermining any simplistic interpretation of inevitability.

The direction can be durable while the timing, winners, technologies, and regional paths remain uncertain.

For executives and investors, that distinction matters more than the headline.

The auto industry is not changing one product; it is changing a production system

An electric vehicle is not simply an internal-combustion car with a different engine.

The transition changes the bill of materials, supplier relationships, software architecture, battery sourcing, factory equipment, labor skills, charging ecosystem, service economics, and competitive landscape.

That is why legacy automakers found the shift so difficult. Their existing scale is an advantage in purchasing, manufacturing, distribution, and brand. It is also a constraint because billions of dollars, thousands of employees, supplier contracts, dealer relationships, and factory footprints were optimized for another architecture.

Industrial transitions punish companies that confuse asset scale with strategic flexibility.

The question is not whether Ford, GM, Volkswagen, or other incumbents know how to build cars. It is whether their existing systems can reallocate capital fast enough without destroying the economics of the profitable businesses funding the transition.

Tesla changed what “competitive” meant

For years, traditional automakers benchmarked one another.

Tesla disrupted that comparison by demonstrating a different combination of software, direct sales, vehicle architecture, battery integration, brand, charging, and capital-market expectations.

The significance was not that every Tesla practice should be copied. It was that legacy automakers could no longer assume the old dimensions of competition were sufficient.

A company can respond to a new competitor in two bad ways.

The first is denial: treat the challenger as a niche and protect the existing model too long.

The second is imitation without economics: copy the visible strategy while ignoring the organizational capabilities and cost structure that made it work.

Colias’ reporting is strongest when it shows executives oscillating between those poles.

Manufacturing is where strategy meets physics

Technology narratives often emphasize product design and software because they are visible and exciting.

Automotive manufacturing is a reminder that industrial scale obeys physical constraints.

Factories need tooling. Battery plants need yield. Supply chains need quality. Vehicle programs require validation. A car has to survive heat, cold, vibration, crashes, warranty cycles, regulation, and millions of real-world miles.

A startup can create a compelling prototype and still fail at mass production.

This is one reason EV losses at traditional automakers became so significant. The companies were not just funding new models. They were funding a parallel industrial system before the new system had reached old-system economics.

The practical lesson is that strategy should be evaluated at production yield and contribution margin, not at launch events.

China is not a side plot

Any serious discussion of the EV transition now has to put China near the center.

IEA data show China accounting for the majority of global EV sales and a large share of available battery-electric models. Chinese manufacturers have moved from serving a protected domestic growth market to exporting aggressively and building manufacturing capacity abroad.

This creates multiple advantages: scale, supplier density, battery access, intense domestic competition, and rapid product iteration.

For Western automakers, the challenge is not merely competing with a lower-cost car. It is competing with an ecosystem that may learn faster.

That has geopolitical consequences because automotive manufacturing supports employment, industrial capability, trade balances, and technological spillovers.

The EV transition is therefore not just an environmental story. It is industrial policy.

“EV winter” was real—but regional

Colias has written about the period when EV enthusiasm collided with weaker-than-expected demand in the United States.

Automakers slowed factory plans. Some delayed models. Losses became harder to justify. Consumers remained concerned about price, charging, range, and resale value. Policy uncertainty grew.

It was tempting to interpret this as proof that the transition had failed.

Global data tell a different story.

IEA figures show electric-car sales continuing to rise sharply worldwide, with China and other markets carrying much of the growth. Europe stalled and then reaccelerated. The United States moved more slowly.

The strategic error is using one regional adoption curve as a proxy for the world.

Executives need country-level models.

Hybrids are not necessarily a refutation of electrification

The rise of hybrids complicates the binary narrative.

Consumers may want lower fuel use without charging dependence. Automakers may prefer technologies that use existing manufacturing capability. Regulators may accept intermediate emissions reductions. Plug-in hybrids and extended-range vehicles may fit some geographies better than pure battery-electric models.

A transition can therefore move toward electrified powertrains without following a single technology path.

This matters because investors often frame hybrids as evidence that EV adoption has been “wrong.” That conclusion is too simple.

The deeper question is which powertrain wins for each customer segment under actual prices, fuel costs, charging availability, policy, and driving patterns.

Inevitable direction does not imply inevitable architecture.

Affordability is the decisive mass-market constraint

Early adopters tolerate higher prices for novelty, performance, environmental goals, or technology.

Mass markets are less forgiving.

IEA analysis emphasizes falling battery prices and intensifying competition as central to improving EV affordability, while also noting that purchase-price gaps remain in many regions.

This is strategically important because total cost of ownership and purchase affordability are different.

A vehicle can be cheaper over eight years and still be inaccessible if the monthly payment is too high.

The manufacturers that unlock mass adoption will not merely extend range. They will solve upfront price, financing, insurance, depreciation, charging, and repair economics.

China’s strength in affordable EVs is therefore more threatening to incumbents than headline horsepower or luxury features.

Charging is an ecosystem problem

Vehicle adoption depends partly on infrastructure the automaker does not fully control.

Home charging makes EV ownership dramatically easier for homeowners with garages. Renters, apartment residents, street parkers, long-distance drivers, and fleet operators face different constraints.

Public charging therefore affects the size of the addressable market.

This creates a coordination problem. Charging investment depends on vehicle adoption; vehicle adoption depends on confidence in charging.

Successful markets solve this through combinations of policy, private investment, standards, utility coordination, and network scale.

The lesson for strategy is that product-market fit can depend on complementary infrastructure.

An excellent vehicle can still struggle in a weak ecosystem.

Dealers have different incentives from manufacturers

The traditional dealership model adds another layer.

Dealers make money from vehicle sales, financing, used cars, service, and parts. EVs can alter several of those profit pools.

A manufacturer may want rapid EV adoption for regulatory or strategic reasons while dealers see uncertain local demand, expensive training, charging investments, and potentially lower long-term service revenue.

This is an incentive problem, not just a communication problem.

Companies with independent dealers need to design economics that make the transition attractive to the channel.

Otherwise, the organization can announce one strategy at headquarters while customers experience another strategy on the showroom floor.

Software creates opportunity—and new failure modes

EVs are part of a broader move toward software-defined vehicles.

Software can improve features after purchase, manage energy, enable new interfaces, collect data, and potentially create recurring revenue.

It also forces automakers into a capability they historically did not dominate.

Consumers tolerate a phone app crashing differently from a vehicle system failing. Cybersecurity, update reliability, privacy, interface design, and integration become core automotive competencies.

The competitive advantage is not “more software.” It is reliable software integrated with safe physical systems.

Legacy automakers have to learn this without forgetting what they already know about manufacturing.

Policy changes the adoption curve but does not fully control it

Subsidies, emissions standards, tax credits, tariffs, fuel-economy rules, local manufacturing incentives, and charging support all influence EV economics.

The United States provides a clear example of policy sensitivity. The 2026 IEA outlook notes that the end of tax credits contributed to weaker U.S. sales late in 2025, while Europe’s regulatory environment supported stronger growth.

Policy therefore changes timing and relative competitiveness.

But policy is not the only force.

Battery costs, model availability, consumer preferences, fuel prices, technology, and Chinese competition continue to move even when governments change direction.

Executives should treat policy as a scenario variable, not as the entire thesis.

The word “inevitable” should be interpreted at the global system level

The strongest version of Colias’ title is not “every driver will soon buy a battery EV.”

It is that the automobile industry cannot return to a world where electrification is a marginal experiment.

Too much capital, supply-chain capability, regulatory effort, consumer adoption, and Chinese industrial scale now exists.

Even companies that slow their EV plans must respond to the new competitive environment.

The more useful strategic claim is path dependence: once enough of the ecosystem shifts, going back becomes economically and politically difficult.

That does not predict the exact 2030 sales share.

It predicts that the old equilibrium is gone.

The current data support direction, not uniform timing

IEA’s 2026 data are a strong test.

Global electric-car sales exceeded 20 million in 2025 and reached 25% of new-car sales. China approached 55% share. Europe grew strongly. The United States remained below 10%.

That is not one adoption curve.

It is several curves shaped by price, policy, industrial structure, charging, urban form, and consumer behavior.

The book’s broad direction looks stronger when viewed globally and weaker when interpreted as a synchronized transition.

A multinational automaker therefore needs a portfolio strategy, not one global launch calendar.

Capital allocation is the hardest incumbent problem

Legacy automakers face a brutal capital-allocation dilemma.

They must invest enough in future technology to remain competitive while continuing to fund and refresh the combustion and hybrid products that still generate much of their cash.

Invest too slowly and the company loses capability.

Invest too aggressively and it can destroy returns before demand catches up.

This resembles a classic innovator’s dilemma, but with factories, regulation, labor, and national industrial policy layered on top.

The best management teams will not be those with the most confident EV forecast. They will be those that preserve strategic options while lowering the cost of being wrong.

Optionality is a strategy, not indecision

Automakers can preserve optionality through flexible factories, modular platforms, shared components, hybrid offerings, battery partnerships, and staged capital commitments.

Critics may interpret these moves as lack of conviction.

In an uncertain transition, optionality can be rational.

The goal is not to avoid commitment. It is to make commitments at the level supported by evidence.

A company should know which assumptions must be true for a plant, platform, or vehicle program to earn its cost of capital.

If those assumptions change, strategy should update before sunk-cost psychology takes over.

The transition changes supplier power

EVs rearrange value inside the supply chain.

Battery cells, materials, power electronics, semiconductors, software, and charging become more important. Components associated with combustion engines decline.

That shifts bargaining power.

Suppliers with scarce battery technology or material access can become strategically important. Traditional suppliers may need to reinvent capabilities. Automakers may vertically integrate areas they previously outsourced.

This is why the transition affects far more than brands consumers recognize.

Industrial ecosystems are being repriced.

The investment lesson: separate adoption from profitability

A sector can grow while individual companies destroy capital.

That is one of the most important lessons from the EV cycle.

Investors should not assume that rising EV penetration means every automaker, battery company, charger network, or startup will earn attractive returns.

The relevant questions are unit economics, capital intensity, competitive advantage, utilization, pricing power, and balance-sheet endurance.

A market can be inevitable and still be a terrible investment at the wrong valuation.

Colias’ reporting becomes more useful when read through that lens.

A strategic scorecard for automakers

Executives should track more than EV sales share.

A stronger scorecard includes:

• contribution margin by powertrain;
• battery cost per usable kilowatt-hour;
• factory utilization;
• warranty cost;
• software reliability;
• charging satisfaction;
• customer acquisition and retention;
• residual values;
• dealer economics;
• capital employed per platform;
• regional policy exposure;
• supplier concentration;
• time from design change to production.

These metrics reveal whether the company is learning, not merely shipping vehicles.

What changed after publication

The years after the book’s reporting period have made the title both easier and harder to defend.

Easier, because global adoption continued. More than one in four new cars globally was electric in 2025, and Chinese manufacturers strengthened their position.

Harder, because the United States demonstrated how policy and consumer economics can slow a major market. Automakers continued to adjust programs, and hybrids remained strategically important.

The updated conclusion is more nuanced than a straight line.

Electrification is increasingly embedded in the global auto system. The route to that future remains contested.

The environmental case should be separated from the industrial case

Public debate often bundles several claims together: EVs will reduce emissions, EVs will dominate sales, EV companies will be profitable, and EV policy will strengthen domestic manufacturing. Those are different propositions.

Lifecycle emissions depend on electricity generation, vehicle efficiency, battery production, driving distance, and vehicle lifetime. In many markets, battery-electric vehicles can reduce lifetime emissions relative to combustion vehicles, but the magnitude varies.

That environmental case does not tell an automaker how much to invest in a factory, and it does not tell an investor what multiple to pay for an EV company.

Separating the layers improves decision quality.

Governments can support electrification for climate reasons even when a particular domestic manufacturer struggles. A consumer can choose an EV because total ownership cost is attractive even if the charging network is imperfect. An automaker can slow one battery program while remaining committed to long-term electrification.

The transition is clearer when each claim is evaluated on its own evidence.

Battery economics are the bridge from policy market to mass market

Subsidies can accelerate adoption, but durable mass-market penetration requires vehicles that work economically without extraordinary support.

Battery cost is central because it affects the most expensive component of a battery-electric vehicle. As pack prices fall, manufacturers gain room to reduce sticker prices, increase range, improve margins, or combine all three.

But battery cost is not the only variable. Vehicle weight, platform efficiency, manufacturing yield, warranty reserves, financing rates, and residual values matter too.

This is why the affordability story is more complicated than “battery prices are falling.”

A company can benefit from cheaper cells and still lose money if a factory runs below capacity or if price competition forces discounts faster than costs decline.

The strategic threshold is contribution margin at meaningful volume.

Residual values matter because consumers buy monthly payments

New-car strategy is often discussed through sticker price.

Consumers frequently experience the vehicle through a monthly payment, and the payment depends partly on expected resale value.

If lenders or leasing companies believe a new technology will depreciate rapidly, financing becomes more expensive even if operating costs are low. Rapid hardware improvement and price cuts can also hurt used values because yesterday’s vehicle competes with a better and cheaper new one.

This creates a feedback loop.

Weak residual values raise lease costs. Higher lease costs reduce demand. Lower demand can push manufacturers toward incentives, which can weaken residual values further.

Manufacturers therefore need to manage not only new-car pricing but the health of the used-vehicle ecosystem.

The dealership transition should be measured economically

Manufacturers can announce dealer training programs and charging requirements, but the more important question is whether a dealer can earn attractive returns selling and servicing the new product.

EVs may require less routine maintenance, changing the economics of service departments. Salespeople need to explain charging, incentives, range, software, and home-installation questions. Inventory risk may differ if local demand is uncertain.

The manufacturer that ignores these economics can create channel resistance and then misdiagnose it as cultural resistance.

A better approach is to model the dealer profit pool under multiple powertrain mixes and design incentives accordingly.

Channel strategy becomes part of product strategy.

China’s advantage should be analyzed as a system

It is tempting to explain China’s EV position through subsidies alone.

Policy support matters, but the current advantage is broader: domestic market scale, battery supply chains, aggressive price competition, manufacturing learning, model variety, and a dense network of suppliers.

System advantages are harder to copy than individual products.

A Western automaker can benchmark a BYD model and understand the bill of materials. Replicating the surrounding ecosystem may take years.

This is why tariffs can slow competitive pressure without necessarily eliminating the capability gap.

Industrial policy buys time. It does not automatically create learning.

What managers outside autos can learn from the book

The book’s relevance extends beyond vehicles because it shows a general pattern of technological transition.

First, incumbents finance the future with profits from the past.

Second, new technology initially looks expensive because utilization is low and learning is incomplete.

Third, challengers often compete with different architectures rather than better versions of the old product.

Fourth, distribution partners can resist when the new model damages their economics.

Fifth, policy can accelerate adoption but also distort timing signals.

Sixth, regional markets can diverge enough that a global strategy becomes dangerous.

Any executive facing AI, energy, fintech, robotics, or another structural shift should recognize these patterns.

A scenario framework for 2030

Rather than asking for one EV forecast, leaders should maintain multiple scenarios.

In a fast-transition scenario, battery costs fall quickly, charging expands, Chinese competition intensifies, and policy remains supportive. Capital shifts toward pure EV platforms.

In a mixed-powertrain scenario, hybrids remain important, U.S. adoption grows slowly, and manufacturers prioritize flexible factories and diversified lineups.

In a policy-fragmentation scenario, tariffs and national industrial strategies create regional technology stacks, raising costs but protecting local capacity.

The correct strategy is not to guess which scenario will occur with certainty.

It is to identify which investments perform acceptably across more than one plausible future and which bets require a specific forecast to be right.

The best interpretation of the title

A useful executive translation of “inevitable” is not certainty; it is irreversibility of strategic relevance. Even if battery-electric penetration stalls for a period in one country, automakers can no longer plan as though batteries, software, charging, Chinese manufacturers, and electrified drivetrains are peripheral. Those forces now shape product planning, capital allocation, supplier strategy, and regulation. The uncertainty is therefore about pace and profit distribution, not about whether the competitive system has changed.

Who should read Inevitable?

The book is especially useful for executives, investors, policy professionals, operators in manufacturing, and anyone who wants to understand industrial transitions beyond technology headlines.

It is also valuable to founders because it demonstrates how brutally physical businesses differ from software: factories, tooling, supply chains, working capital, regulation, and distribution can dominate strategy.

Readers looking for a simple bullish or bearish case on EV stocks will not get the most value. This is a systems book disguised as an automotive story.

Final verdict

Inevitable earns its title if the reader understands what the title does and does not mean.

The electric transition is now too large to dismiss as a temporary experiment. Global sales, Chinese industrial scale, regulation, battery investment, and automaker capital commitments have changed the competitive baseline.

But inevitability is not a schedule.

Regions move differently. Technologies coexist. Policy matters. Consumers care about price. Factories lose money before they learn. Some companies will retreat, some will fail, and some will use the disruption to take share.

The durable insight is that industrial transitions are decided by execution under uncertainty.

The winner is not the company that predicts the future perfectly.

It is the company that learns faster than its capital runs out.

Frequently Asked Questions

What is Inevitable about?

Mike Colias reports on the auto industry’s transition from internal-combustion vehicles toward electric powertrains, focusing on legacy automakers, Tesla, China, manufacturing, dealers, batteries, and consumer adoption.

Does the book argue EV adoption will be smooth?

No. The value of the book is precisely that it documents the transition as messy, capital-intensive, and strategically uneven.

Has the thesis held up through 2026?

At the global level, broadly yes: EV sales continued to rise and reached about one-quarter of new-car sales in 2025. But regional differences remain large, with China far ahead and U.S. adoption much slower.

What is the biggest strategic lesson?

Do not confuse market direction with company profitability. Firms need flexible capital allocation, manufacturing competence, cost discipline, and region-specific strategies.

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Sources & Further Reading

• Google Books — Inevitable by Mike Colias
• Fast Company — Inevitable excerpt
• IEA — Global EV Outlook 2025: Trends in electric car markets
• IEA — Global EV Outlook 2026: Trends in electric cars
• IEA — Global EV Outlook 2025: Affordability
• ICCT — Global EV market monitor for LDVs 2025
• U.S. Department of Energy — Incremental Purchase Cost of EVs
• ICCT — PHEV market trends and policies