We Handed Them the Market

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.


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

Oh, oh oh, oh oh oh oh, I saw this coming !

Last Cassette Player Standing, in American Conservative
From the article: Photo by: Education Images/Universal Images Group via Getty Images)

Money Quote:

There are several lessons here. The most politically salient is that in manufacturing, as in cooking, it is possible to “lose the recipe.” And with an accelerating pace of technological progress, it is possible to lose it in an alarmingly short span of time. This is perhaps the strongest argument for some form of industrial policy or trade protection: the recognition that the national value of manufacturing often lies not so much in the end product itself, but in the accumulated knowledge that goes into it, and the possibility of old processes and knowledge sparking new innovation. Of course, innovation is itself what killed the high-end cassette player. But many otherwise viable industries have struggled under the free-trade regime.

The fact is that technology is not embodied in a drawing or set of drawings or any set of instructions. It is embodied in human knowledge. One of the key problems in the industry is the loss of control a customer or prime has when they let a contractor develop the ‘data package’ and ‘product’ with no significant oversight. While the customer or prime may ‘own’ the IP because they paid for it, the fact is that the majority of the capability is embodied in the people and culture of the contractor not in any set of information.

The Hellenic world had machines as complex as early clocks and steam engines of a sort but lost the recipe in a few generations or less. Various complex building skills and wooden machines, metalworking and early chemistry were discovered then lost again and again because the data package was in human brains and examples. This is why the printing press and its ilk were so incredibly important to technological lift off. Along with a culture of progress and invention.

We are far ahead of that world but as above, not above losing the recipe of a complex technology. This is one of the drivers behind Computer Aided Design, Analysis, Documentation, Fabrication. Our cybernetic tools have the ability to record the data package in detail at least for certain classes of things so that we should be able to maintain the ability to replicate things. Making special, small run, even one off technological objects rational rather than nutty.

But at the same time I think that it is likely that the artisanal ethos and products will remain relevant and even increase in value as people shift away from a mind/economy/culture of scarcity to at least sufficiency and if we survive and expand into the universe eventually richness. These transitions will be extremely difficult because they are at odds with many tens of thousands of years of genetic/mimetic coding of our behaviors based on small group hunter gatherers and kin group bonding. Those transition will be enabled by machines that fabricate, even machines that invent. What will happen when humans loose the recipe for technological advancement, because too few engage in the complex enterprise of development??? Is that the point of the Rise of the Machine???

Our space science Economy has assets

An artist’s depiction of the OSIRIS-REx spacecraft at work at the asteroid Bennu. (Image: © NASA/Goddard Space Flight Center)

NASA’s OSIRIS-REx probe could make a 2nd stop at infamous asteroid Apophis, at Space.com, and noted in several space related blogs, eMags. This sounds like a fantastic use of a remarkable space asset.

The Japanese asteroid prospector Hayabusa2 dropped off its samples from Ryugu at Earth and is on its way for more exploration last year: Farewell, Ryugu! Japan’s Hayabusa2 Probe Leaves Asteroid for Journey Home

These craft and others such as craft like the voyagers continue to return immensely valuable data long after their primary mission is complete. One of the things NASA and other space science organizations struggle with is supporting these ships long after the original funding timeline is past. This is a great problem to have and by and large the money is found since these are very cheap deep space projects in the big picture.

So my title, the economy of ‘outer space’ is all about data, science, prospecting right now. These are valuable assets that we need to support to provide returns orders of magnitude greater than the cost in the sense of other ways of getting that data, data that is both live affirming in its fascination and valuable as part of the bedrock of our understanding of the universe.

Cheers

Spider Mite Robots from the UK

UK company Spacebit is sending a spider-like rover to the moon
at slashgear.com

A really cool concept. Miniature walking rovers that can explore tiny spaces, a single test to the moon this year with plans for swarms (small ones) in the not too distant future. Tbe video animation from Spacebit is worth a couple of minutes.

Artificial…uh, dance partners?

Two items run across recently the emphasize the huge progress that robotics and Artificial intelligence has made in the last couple of years.

From Robot Reports a somewhat frightening video:Watch Boston Dynamics Robots Tear up the Dance Floor.

Boston Dynamics Atlas doing parcur from an article in The Verge

The Boston Dynamics robots are at the point that they can do most things a human can in regards to locomotion. It is unclear how much beyond balance and moving is local to the robots as the thoroughly bounded arena makes clear but the basics of the body frame is there. Ability to manipulate the environment other than in the most basic way has not been demonstrated by Boston Dynamics but other companies are making huge strides in manipulators. Ability to sense and understand the environment is another huge step. Except that the sensors exist (autonomous cars etc). Leaving understanding the environment beyond a very limited ‘world.’ And that takes a brain, and that seemed a long way off….except is it?

Hat tip Maggies Farm, in Towards Data Science: the article; GPT-3: The First Artificial General Intelligence?

From the article
The picture above shows an inverted dome with a waterfall at is base pouring water into another circular waterfall. An interesting visual metaphor for the reinforced learning of many modern AI systems.

GPT3 would appear to be on the threshold of general purpose artificial intelligence. In the article it is noted that GPT3 is a brain in a box with no ability to sense or manipulate the environment without human intervention. But ‘wrapping’ those abilities ‘around’ GPT3 appears all but trivial. Given its ability to learn on its own would a Boston Dynamic’s wrapped GPT3 become something close to the robot of our dreams and nightmares. It certainly appears so.

Atlas’s is battery powered, I think, to the tune of an hour or so. GPT3 is instantiated on a huge computer network but both of those limitations are receding every day as computing power and battery storage continue to improve driven by their broad application across the tech scene.

Five years from now it would seem likely that the general purpose android robot will be a real thing. If built in quantity like say a Tesla 3 are you looking at $30K a pop? What does that lead to?

I want to make sure they understand that I for one welcome our dancing robot overlords.