ANALYSIS! by Jason · posted Jul 15, 2026 · Hebojago Analysis

The BYD Lesson Everyone Gets Wrong — and What It Really Means for the DeepSeek Threat

The market story that aged terribly — and is about to repeat

Investors love the story that Tesla beat BYD on quality. The 2025 data says otherwise — and if you apply the real BYD lesson to DeepSeek honestly, the conclusion is more uncomfortable (and more investable) than the popular take.

BYD-DeepSeek

Microsoft made a quiet announcement last month that should have gotten a lot more attention than it did: the company told Axios it is exploring a fine-tuned, Azure-hosted version of DeepSeek V4 — yes, the Chinese open-source model — as a lower-cost engine for Copilot Cowork, its enterprise AI agent. At the same time, Microsoft is moving Copilot Cowork to usage-based pricing, because the current generation of agentic AI tools burns through so much compute that flat-rate plans stopped making financial sense.

My first reaction was the same one a lot of investors had: this is Tesla vs. BYD all over again.

A scrappy Chinese competitor shows up with a product that’s dramatically cheaper. The incumbent’s shareholders panic. And then — in the version of the story most American investors remember — the market realizes the cheap alternative isn’t actually as good, everyone goes back to the premium product, and the incumbent wins.

I was halfway through outlining that exact article when I did what I always tell you to do before putting money (or your byline) behind a thesis: I checked the numbers.

The numbers told a different story. And honestly, the real BYD lesson is far more useful for thinking about the AI market than the comfortable one.

The story we tell ourselves about Tesla and BYD

Here’s the popular narrative, and I’ll admit I believed a version of it myself:

Around 2023–2024, BYD announced cheaper EVs and briefly outsold Tesla. Tesla’s stock tanked because shareholders feared the competition. But BYD’s build quality “wasn’t even close,” buyers figured that out, and the market’s attention swung back to Tesla. Premium American engineering beat cheap Chinese scale. The end.

It’s a satisfying story. It flatters the incumbent, it flatters American manufacturing, and it gives investors a tidy template: when a cheap Chinese competitor shows up, buy the dip on the quality leader.

There’s just one problem.

What actually happened

BYD won. Not on vibes — on volume, and by a landslide.

In 2025, BYD sold roughly 2.26 million battery-electric vehicles worldwide, growing about 28% year over year. Tesla delivered about 1.64 million, a decline of roughly 9–10% from 2024 — its second consecutive annual sales drop. That made 2025 the first full calendar year in well over a decade that any automaker outsold Tesla in pure EVs, and BYD didn’t squeak past — it won by more than 600,000 cars.

And it wasn’t just a China story. BYD has been expanding aggressively into Europe and Latin America, often with local production. In Europe, BYD now offers more models than Tesla does. The “quality gap” that Elon Musk once literally laughed about in an interview? It closed. Reviewers stopped treating BYD as a punchline years ago.

So why does the “Tesla won” narrative persist, especially among American investors? Two reasons, and both of them matter enormously for the AI analogy:

1. The tariff wall. BYD sells essentially zero passenger vehicles in the United States. Tesla remains the US EV leader not because American consumers compared the two and chose Tesla — they never got the choice. Trade policy built a wall, and inside that wall, Tesla still looks dominant.

2. The stock changed its story. TSLA shares did crater in early 2024 when BYD first outsold Tesla in a quarter, and the stock did recover. But look at why it recovered. It wasn’t because Tesla clawed back EV market share — deliveries kept falling. The stock recovered because the narrative shifted from “car company” to “AI company”: robotaxis, full self-driving, Optimus. As someone who sells cash-secured puts on TSLA, I watch this stock closely, and I can tell you it has traded on the autonomy story, not delivery numbers, for a long time now.

In other words: the incumbent’s stock survived, but not by winning the fight everyone was watching. It survived by changing the subject — while the cheap challenger quietly took the global volume crown.

That is the real BYD lesson. And it should make US AI investors a lot less comfortable than the fairy-tale version.

Now apply it honestly to DeepSeek

The parallel everyone wants to draw: DeepSeek is cheaper per token, but it’s “not even close” to OpenAI’s or Anthropic’s frontier models, so users will eventually come back to US-made AI, just like car buyers “came back” to Tesla.

But we just established that car buyers didn’t come back to Tesla. Globally, they left. So if you apply the analogy honestly, DeepSeek isn’t the fad in this story — DeepSeek is BYD. The cheap challenger whose quality gap keeps narrowing while the incumbents’ costs stay high.

And here’s where the analogy gets genuinely scary for the “US AI wins by default” crowd: there is no tariff wall for software.

BYD is locked out of the US market by trade policy. A physical car has to clear customs. An open-weights AI model doesn’t. DeepSeek publishes its model weights openly, which means Microsoft can download them, fine-tune them, and run them entirely on Azure servers in the United States — no data flowing to China, no licensing payment to a Chinese company, no business relationship at all. That’s exactly what Microsoft says it would do: an optional, self-hosted, fine-tuned DeepSeek V4 living inside Azure’s security and compliance boundary.

The one wall that does exist is political. Washington has floated banning DeepSeek outright, several governments have already banned it from official networks, and Microsoft naming a Chinese model as a candidate for its flagship enterprise product drew immediate criticism. Politics may yet do for US AI labs what tariffs did for Tesla’s home market. But that’s a policy moat, not a product moat — and policy moats can be redrawn with one election or one executive order.

Where the US labs actually win (and it’s not patriotism)

So is the bear case complete? Should we assume DeepSeek does to OpenAI and Anthropic what BYD did to Tesla?

Not quite — and this is where the analogy finally breaks in a useful direction.

Notice what Microsoft is actually doing. It isn’t replacing its frontier models with DeepSeek. Copilot Cowork today runs on Anthropic and OpenAI models, and Microsoft is evaluating DeepSeek (or another open-source model) specifically as the lower-cost tier under usage-based pricing. The premium, high-stakes agentic work stays on the frontier models. The cheap, high-volume routine work goes to whatever is cheapest.

That’s not a story about one side winning. That’s a story about the market bifurcating:

  • Commodity inference — summarization, routine drafting, simple agent steps — races to the bottom on price. Open-source models, including Chinese ones, dominate here because you can’t beat “nearly free and self-hostable.”
  • Frontier capability — complex agentic work, code that has to be right, anything touching regulated or sensitive data — stays with the US labs, defended by genuine capability gaps, enterprise trust, compliance requirements, and yes, government pressure.

The auto industry has looked like this forever: Toyota and BYD own volume; Porsche and Ferrari own margin. Nobody thinks Ferrari “lost” to Toyota. The mistake is expecting one winner in a market that’s structurally splitting into two.

What this means for your portfolio

I’m not a financial advisor, and none of this is a recommendation — it’s how I’m framing my own thinking:

Don’t buy the comfortable narrative. “Cheap Chinese AI is junk and everyone will come back to US models” is the same story investors told about BYD, and it aged terribly. Price your theses on data, not flattery.

Watch the bifurcation, not the horse race. The interesting question isn’t “DeepSeek vs. OpenAI.” It’s how much of total AI workload ends up in the commodity tier versus the frontier tier. Frontier labs keeping 20% of tokens but 80% of revenue is a very different world from the reverse — and infrastructure names like Microsoft and Nvidia get paid in both scenarios, which is partly why MSFT can shop for cheaper models without hurting its own story.

Respect the policy wildcard. Tesla’s US “win” was manufactured by tariffs. If Washington bans or restricts Chinese open-source models, US labs get a similar artificial home-field advantage — bullish for them, but fragile, because it can reverse.

Separate the company from the stock. Tesla lost the global EV war and TSLA still recovered, because the stock found a new story. Narratives can carry a stock long after the original thesis dies. That cuts both ways, and it’s exactly why I sell puts on volatility-rich names like TSLA instead of pretending I can predict which narrative wins.

The BYD lesson isn’t “quality always wins.” It’s that cheap-and-good-enough wins the volume war, walls decide who gets protected, and stocks survive by changing the story. Every one of those forces is already visible in the AI market. The investors who’ll get hurt are the ones still telling themselves the fairy-tale version.


Disclosure: I actively trade options (primarily cash-secured puts) on TSLA and NVDA, and may hold positions in securities mentioned. This article is for informational purposes only and is not investment advice. Sources: Axios reporting on Microsoft’s Copilot Cowork pricing and model evaluation (June 2026); Statista and industry delivery trackers for 2025 BYD/Tesla sales figures.

*** THE NUMBERS ***

  • BYD global BEV sales, 2025 2.26M (+28%)
  • Tesla deliveries, 2025 vs 2024 1.79M 1.64M
  • The gap nobody predicted 600K+ vehicles

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