The Technology Lapped the Argument

Posted on May 4, 2026 by Sci Fi Engineer

*Related video: https://youtu.be/Rt3u7k1Qn2Y

I spent the last years of my engineering career inside the EV supply chain. SiC power modules, fast charging infrastructure, the physics that makes any of this possible. When the market stalled and Wolfspeed went into Chapter 11, I was among the people who lost their jobs to the gap between technology that was ready and deployment that wasn’t managed well.

So I have some standing to say this: most of what you’re hearing about EVs right now is noise. The signal is somewhere else entirely.

What the argument is actually about

The loudest voices say EVs are failing. Mandates reversed, high-profile products stumbled, the market is retreating. Some of that is true. Most of the framing around it isn’t.

What’s happening is a culture war machine doing what it does: taking a nuanced engineering and industrial policy question and flattening it into a yes/no yelling match. The anti-EV drum is politically useful to a coalition that learned to hate the mandate era. That’s a social politics problem, not an industrial one.

The previous administration pushed hard on EVs and that push was heavy-handed. Mandates handed down by people who had never read a cost model. Timelines written by committees with no idea what it takes to retool a supply chain. You can’t magic this into existence. The regulatory overcorrection was real and it wasn’t sustainable. The current environment is closer to “let the market work,” which was always the more defensible position.

That’s not a retreat on EVs. It’s a retreat on mandates. Those are different things.

The one policy thread that actually matters

There’s a legitimate industrial policy question buried under the noise, and it has nothing to do with the culture war.

Chinese battery manufacturers operate at a cost and scale US industry can’t currently match. BYD LFP packs at $81/kWh against North American packs struggling to get below $120/kWh. That gap is structural. It’s the product of state subsidy, overcapacity investment, and a decade of manufacturing maturity that didn’t happen here.

Tariffs are a response to that. Not a new tool — tariffs have always been part of industrial policy. They buy time for US manufacturing to find its footing before the cost differential makes the conversation moot. They slow the bleeding. They don’t end the issue. The hard commercial work still has to happen inside that window of protection.

While the argument raged, the engineers kept working

The two real technical objections to mass EV adoption were range and charge time.

Range has been largely answered for most drivers. The argument was always more perception than physics for the majority of use cases. There’s still a range/cost trade-off at the edges, and for certain use cases — long hauls, thin infrastructure corridors — it’s real. But for the suburban commuter with a predictable route, it was a phantom.

Charge time was the harder objection. It’s the one that lands with people who have driving patterns that don’t fit a neat daily commute.

That objection just got answered. CATL has announced a lithium-ion pack that goes from 10% to 80% charge for a long-range car in 5 minutes — essentially what you spend at a gas pump. With a cycle life as good or better than existing packs. That’s not a lab result. That’s a discontinuity arriving at production scale.

The cost curve has been moving the same direction for years. $137/kWh in 2020. $108/kWh in 2025. Consensus puts it at $60-80 by 2030. And unlike the internal combustion engine, which hit a performance plateau a while ago — where further gains tend to require turbos, complexity, and reliability trade-offs — battery technology still has a long way to run on the improvement curve.

The original technical case against EVs is now essentially closed.

The part most people haven’t thought through

Here’s the engineering insight that gets lost in the political argument: the EV value proposition is not uniform across vehicle categories. It runs in opposite directions depending on what you’re building.

A large pickup truck is a worst case. Heavy vehicle requires a big battery. Big battery adds weight. More weight means lower range. Lower range demands an even bigger battery. The vicious circle compounds fast, and the economics get brutal.

A mid-range car is a much better case. A small car is better still. An e-bike is the virtuous circle running full speed — light vehicle, small battery, low cost, genuinely better than the alternative on almost every axis.

The early EV push got this backwards. It over-emphasized large, expensive vehicles in categories where EV physics work against you, and under-served the mid and lower segments where the virtuous circle runs hard. That product mix failure wasn’t inevitable — it was a choice, driven by margin structure and political optics.

The companies that are finally starting to fix this understand where the physics are on their side.

What I expect to happen

The social politics will move on when the machine finds a new nuanced topic to flatten. It always does. The yelling tends to continue well past the point where it makes any sense, but it does eventually stop.

The regulatory environment is already normalizing. The tariff question is real and separate — you don’t abandon it just because the culture war has moved on, because the industrial competition with China doesn’t care about US political cycles.

Quietly, at the mid and lower price points, there’s no deep quitting. The product mix is starting to fill in where it should have been years ago.

By the time the US political environment fully resolves its feelings about EVs, the engineering will be a generation ahead of the debate. The technology wasn’t right five years ago for most buyers. It’s about right today. Tomorrow it will be better, and the gas engine curve doesn’t have the same headroom left to answer with.

The technology lapped the argument. Almost nobody noticed while it was happening.

Mark Harris is a systems and mechanical engineer, recovering from a career in EV power electronics, and the author of Stranded in the Stars (Book One, The Sea of Suns Trilogy). He writes about engineering, technology, and the creative life at This World and Others. The Unretired Engineer is on YouTube at https://www.youtube.com/@Scifiengineer-09

We Handed Them the Market

Posted on April 20, 2026 by Sci Fi Engineer

Related video: Range Anxiety — The Unreal Reality

I’ve been involved with EV power and propulsion for much of the last 30 years. My latest stint was at Wolfspeed, developing SiC power modules for EVs and fast chargers. When the EV market stalled and the company went into Chapter 11, I was among the people who lost their jobs.

I still think EVs are the right direction. I don’t own one. That’s not a contradiction, it’s the actual story, and the video above is where I work through it.

The short version: range anxiety was always overblown for most drivers, and the auto makers never built the product mix that met the needs of the broad market. Now the industry is driving hard away from EVs, especially in the US, and that’s just wrong-headed. The video closes on that but doesn’t dig into why. This post does.

The Part That Stings

While the US was arguing about mandates and turning the issue into clickbait, China was engineering.

BYD is selling comfortable, adequate-range EVs in the $15–20K range. That’s the vehicle that moves the majority of buyers. Not the Cybertruck, not the F-150 Lightning, not the Rivian. A practical car at a price most people can actually consider.

We handed them that market. Not through malice or conspiracy, but through a combination of policy that optimized for the wrong things and an industry that focused on protecting its margins.

The policy pushed hard for EV adoption with mandates, subsidies, timelines. Some of that pressure was probably warranted. The market would have gotten there on its own, but the question of when and at whose expense was real. The intervention accelerated some things. What it didn’t do was direct the industry toward the product that would actually move the needle for most buyers.

The industry copied Tesla’s playbook; premium vehicles, long range, performance, high price points. That was the wrong lesson. Tesla used that model to fund the manufacturing and infrastructure investment that actually mattered. Everyone else just took the margin and stopped there.

The charger network made the same error I described in a previous video: build for the metric that looks good in the grant report, not the outcome that matters to the driver. 97% uptime. 71% charging success rate. Two different measurements, only one of which tells you whether the thing worked.

Why Big Auto Isn’t Saving Itself

I always loathed the heavy-handed government push on EVs and what I read as gaslighting on the rationale. Mandates handed down by people who had never looked at a cost model. Timelines written by committees that had no idea what it actually takes to retool a supply chain or build an infrastructure.

At the same time, I think some intervention was warranted. Not because the market was wrong about EVs, but because the market was optimizing for the next quarter. And the externalities of the status quo were landing on people who weren’t in the pricing model.

Intervention at scale creates dependencies. The industry made bets premised on the government backstop continuing. When the political environment shifted, those bets didn’t just look bad, they collapsed. And the response has been to drive hard back toward gasoline, as if that solves anything.

US old-line auto companies have been struggling for decades, and the reasons are structural. They’re trapped by regulatory capture and built-in costs that make adaptation nearly impossible.

Start at the sales end. Their dealer networks are regulated state by state, which makes wholesale change all but impossible. Safety regulations run through a system where insurers push regulators to require improvements that the industry develops partly because those improvements push up vehicle margins. Manufacturing plants are at their core decades old, and the capital they represent sits on the books, write it down and you impair the balance sheet. Design is path dependent by habit and incentive: most changes are incremental tweaks to last year’s platform because that’s easy, cheap, and legible to accounting.

And the margin structure makes it worse. Bill-of-material cost for a vehicle increases slowly with size and content. Market value is largely bling-dependent. So the incentive always points toward large, well-fitted vehicles where the spread is widest, and away from the small practical vehicle where there’s almost none.

Meanwhile, the manufacturing model has already been cracked. A new generation of EV makers proved you can build at scale in the US, turn a profit, and drive down the cost curve without the legacy overhead strangling the old players. Big Auto is watching that happen and still can’t follow, because the legacy network isn’t just a cost problem, it’s a constraint on every decision they make.

Moving back to gasoline doesn’t fix any of this. It may help sales volume near-term, but fewer and fewer buyers are willing to pay up for big iron, and as the recent spike in gas prices reminded everyone, the cost of operating a gas vehicle is not as predictable as it felt a few years ago.

The wholesale abandonment of EVs is as wrong-headed as the mandates-first push that preceded it. You’re walking away from the future as it’s getting its feet under it, and you’re not fixing your actual problems in the process.

Different direction, same failure mode: optimizing for the political moment rather than the real problem.

What I Expect to Happen

The market will keep sorting this out despite the policy environment, not because of it.

Amazon is sponsoring the Slate, a small electric truck aimed squarely at the price point where the volume is. Ford is talking about smaller, value-forward platforms. The product mix gaps are starting to fill in, and the players doing it understand they have to meet buyers where they are, which is around $20K for a vehicle that’s good enough and built around what EVs actually do well.

BYD is a harder question. It was built on the back of Chinese state support and practices that wouldn’t survive scrutiny elsewhere, but that doesn’t change what it demonstrates: a level of technical maturity across product fit, design, and manufacturing that very few other automakers can match. Tariffs and regulatory barriers will slow it down. They won’t hold permanently. Some form of that capability will find its way into the US market, and when it does it will accelerate the shakeout that’s already coming for Big Auto.

Charging infrastructure will improve in the corridors where the economics support it and stay thin everywhere else, and that’s how it should work. Where it’s thin, the economics will eventually pull in local investors, the same way any other service infrastructure fills in. It won’t be fast, but it will happen.

The transition will come, just slower and more expensively than it had to be. The destination is probably the same. The cost of getting there is substantially higher, and much of the value being created will go to manufacturers who aren’t American. That’s the envelope effect of all the intervention and counter-intervention stacked on top of each other.

The engineers mostly knew it was going to be complicated. Technical change at a social scale always is. The complicated part is rarely the technology.

Dismantling Silos: A Path to Agile Engineering

Posted on April 13, 2026 by Sci Fi Engineer

Boundaries are necessary. That’s not the argument.

Every engineering project starts with bounding — what you’re solving, what the solution has to do, what’s out of scope. Without that, you’re not engineering, you’re wandering. The boundary is how you make the problem solvable.

The modern corporation learned the same lesson at scale. Adam Smith’s insight wasn’t complicated: split work into elements, run them in parallel, and you can deliver what no individual craftsman ever could. From Renaissance capital markets to the factory floor to the aerospace prime contractor, that logic held. Boundaries enabled scale.

When I joined the workforce in 1982, the logic was still holding — and you could feel why. I had a notebook and an HP calculator. A shared secretary supported the division manager, and before any report left the building it needed sign-off from both my branch manager and his. Not bureaucratic obstruction — that was the information architecture. Reports were dense, slow, and gatekept because they had to be. Management structure existed in large part to curate that flow — to compress what mattered, pass it up the chain, and keep the organization pointed in the right direction. The stovepipe wasn’t a bug. It was load-bearing.

Between 1982 and 2002 two things happened simultaneously that should have changed the equation. First, information handling exploded. The PC, networks, sensors — generating and moving information became cheap and fast. Second, process culture arrived. The US had watched the Japanese manufacturing renaissance and brought back a set of ideas about quality and process that got bolted onto the existing corporate hierarchy. At exactly the moment when individual engineers could span across an organization and get at information directly, the process culture locked the structure down harder.

The result in many companies: more capability to move information, less permission to use it. The stovepipes stayed. The rationale quietly expired.

I ran three programs across my career that show the delta. At SatCon on the AIPM program — Advanced Integrated Power Module, a DOE/Navy cost-share — I was simultaneously program manager and lead engineer, spanning manufacturing, electrical design, mechanical design, and simulation. We went from concept to demonstrated production-ready modules in three years on a modest budget. That approach, the sub-module test-before-integrate architecture we developed, is now standard inside automotive power electronics. Tesla uses a version of it.

At DRS, working with Allison Transmission on an integrated generator for military vehicles, we built a successful solution and demonstrated it to the Army. General officers asked why they couldn’t have more. It took ten years for the technology to gain traction — not because the engineering was wrong, but because the organizational and procurement structure couldn’t move.

At Wolfspeed, deep stovepipes. Marketing, sales, test engineering, module design, device fabrication — separate organizations, separate priorities, separate permission structures. Getting a new product from concept to release meant handing information off at each boundary and then jawboning it forward, because you couldn’t do their job for them and they had to queue the work against their own priorities. Fifteen products out the door. Every one of them harder than it needed to be.

The stovepipes were there to protect quality. They also stopped momentum.

What’s changed now isn’t the human desire to span boundaries — engineers have always wanted to do that. What’s changed is that the tools exist to actually do it. Companies that have built their information architecture from scratch rather than inheriting it — the Teslas, the newer defense tech firms — have demonstrated what happens when low-level actors have access to the full context of what the organization knows. Engineers and technicians can interrogate data, surface patterns, propose action. The information that used to require a management layer to curate is available directly. The span of control moves down the org chart.

For incumbent organizations with data already siloed, this is genuinely hard. The stovepipes aren’t just structural — they’re also where the institutional knowledge lives, and dismantling them requires executives who are willing to accept that the curation function they’ve been performing can be partially replaced. That’s not a technical problem. It’s a political one.

Christensen’s Innovator’s Dilemma describes what happens to incumbents who don’t solve it. A smaller firm with narrower scope but faster movement finds a niche. The niche gets cheaper and easier to serve. The incumbent can’t see it clearly because their whole architecture is optimized for something else. The niche expands. You know the rest.

The boundary isn’t the problem. Bounding a problem is still part of the engineering job. The question is whether, once the problem is bounded and the work begins, you’re working inside a structure that moves — or one that fills up and waits to overflow into the next pipe.

While many organizations are ‘implementing AI’ most are not working through the changes from first principles and often implementing all or nothing. The ones that don’t get around to making sure they break the stovepipes logically are going to run out of time.

This post accompanies the video Why Stovepipe Organizations Stop Working — The Unretired Engineer, April 2026.