@N_Heisterhagen BMW wird nach seinen heutigen Gewinnen bewertet.
KI-Startups werden nach den Erwartungen an ihre zukünftigen Gewinne bewertet.
Das sagt nicht unbedingt etwas über die Stärke einer Volkswirtschaft aus – manchmal spiegelt es einfach den Optimismus der Märkte wider.
That’s less a story about Germany and more a story about how markets price future expectations.
BMW sells millions of cars, generates tens of billions in revenue, and returns cash to shareholders. It’s a mature business in a brutally competitive industry with lower growth expectations.
Cursor was valued like an AI growth asset. SpaceX itself is valued on the belief that it could dominate launch, satellites, communications, defense, and eventually space infrastructure.
The market isn’t saying BMW is unimportant. It’s saying investors expect much faster growth from AI and space than from selling cars.
Whether those expectations prove correct is a different question entirely.
BMW ist gerade so noch 40 Milliarden Euro an der Börse wert
Space X hat das weitgehend unbekannte Start-Up Cursor gerade für 60 Milliarden Dollar gekauft
Spiegelt ganz gut die Lage der deutschen Wirtschaft wieder
In the last two years, I made 4 donations of $500k every 6 months to Prison Professors to help providing free education in US prisons. Kept it private, until now.
This is what happens when code generation gets cheaper than expert judgment.
The scarce resource is no longer writing code.
It’s knowing what’s correct, secure, maintainable, and aligned with product goals.
I thought this was a joke. Meta now has made 30-50% of software engineers on core teams become data labelers.
Their job is "giving human feedback on AI-generated Github repos" in an org called Agent Data Optimization.
Maybe we are all training data generators after all.
The best sales founder with AI is still usually better at sales than the best engineer with AI.
The best engineer with AI is still usually better at building than the best salesperson with AI.
What is changing is not that cofounders are obsolete. It’s that the gap between them is shrinking.
No one wants to admit this, but the Steve Wozniak / Steve Jobs era of "technical founder + business founder" is over.
For 40 years the model was the same.
One founder builds. One founder sells.
That split made sense when writing code took a CS degree and distribution took a budget.
It doesn't anymore.
AI killed the distance between technical and non-technical. Now only one role really matters:
The fullstack founder.
The person who can do all of it, with AI carrying the weight.
Here's what that actually means in 2026:
1. You can build, even if you've never written code.
Agentic coding tools turn plain English into real, shippable products. You describe what you want, it writes it, you keep iterating. "I'm not technical" stopped being a reason to go find a cofounder.
2. You can fill your pipeline without a sales team.
AI GTM agents like GojiberryAI watch for buying signals, run the outreach, and book demos while you sleep. No scraping lists, no firing off 200 cold DMs by hand. You just show up to the calls that are already warm.
3. You can create demand, not just chase it.
One good post on X, LinkedIn or TikTok can put your product in front of millions, for free. Distribution used to be a budget line you needed money to unlock. Now it's a skill you learn and run yourself.
4. You can actually sell.
None of the above matters if you can't get a real person to say yes. Selling is still the one thing no tool does for you, and the founder who can build, market AND close has an edge nobody can compete with.
We started as 3 founders. With AI covering the work that used to need whole departments, we hit $3M ARR and 2,000+ customers in under 1 year.
Each of us runs across product, outbound, content and sales.
The founders winning today aren't the most technical.
They're not the best marketers either.
They're the ones who refused to pick a lane.
You don't need a cofounder who completes you anymore.
You need to become the whole stack.
What’s even crazier is that an entire generation of websites was built on the assumption that users would click through.
Now the answer is increasingly consumed where the question is asked.
The internet is gradually shifting from a traffic economy to an answer economy.
i rarely google things anymore.
& when i do, i almost never ever click through to the actual destination site.. hell i never even scroll below the ai overview.
that feels kinda insane.
90% of all people have no idea how technology works.
It’s our moral and ethical obligation as Software Engineers to be transparent about risks instead of bullshitting the advantages.
🚨BREAKING: DeepSeek just raised $7.4 billion at $50 billion+ valuation
CEO Liang Wenfeng wrote the biggest check himself: $2.8B
>Tencent: $1.4B
>CATL: $700M
>JD, NetEase, IDG Capital: $420M each
>China’s National AI Fund: $140M
Investors put money into an LP managed by CEO Liang, not DeepSeek
>5-year lockup on all shares
>external investors get NO voting rights
Only exception: the CCP fund invests directly with voting rights and no lockup
DeepSeek believes AI should be open-source to actually benefit all humanity.
@boye4christ2006 I fly between London and Frankfurt almost every week. Book in advance and it’s not unusual to find Ryanair tickets for under £20—sometimes as low as £16.
So apparently after Meta leadership:
- Force reassigned some of the best devs on teams to AI data labelling fulltime
- Laid off another 10%
- Started to record every dev’s screen in the US 24/7
They now realized that it has, indeed started to destroy their eng culture. And are now trying to walk back.
All of the above was unprompted, not forced by anything external or even business reasons (Meta recorded record revenue, record profits)
The biggest self-inflicted eng culture destruction I’ve seen in a matter of weeks
The interesting question is whether intelligence scales linearly with compute. A million times more energy might buy vastly more capability, but not necessarily a million times more intelligence. Nature spent billions of years figuring that part out.
It is humbling to consider that if we harness just 1 millionth of the Sun’s power for AI, that will be much more than a million times the intelligence of all of humanity
The funniest part of AI in 2026 is that every company is somehow becoming an AI company.
Car company? AI company.
Rocket company? AI company.
Cloud company? AI company.
Spreadsheet company? Probably an AI company by next week.
SpaceX has exercised the option to acquire @cursor_ai in an all-stock transaction with the goal of building the world’s most useful AI models.
For the past few months, SpaceXAI has been jointly training a model with Cursor, which will be released in Cursor and Grok Build soon.
We look forward to working closely with the Cursor team to advance our frontier AI capabilities
That’s not how valuations work though.
If revenue was all that mattered, Walmart would be worth more than most tech companies combined.
Google is a mature giant. SpaceX is being priced like it could own huge chunks of the future space economy.
Whether that’s genius or delusion is a different debate.
Amazon is valued for the cash it generates today. SpaceX is valued for the cash investors believe it could generate over the next 20 years. That’s either visionary pricing or a bubble. Time will decide.
The more interesting story isn’t Elon vs Buffett or Elon vs Gate.
It’s that a private company founded in 2002 is now being valued at levels that rival the largest public companies in history.
SpaceX may be the most valuable industrial company ever built from scratch.
A good reminder that most of Elon’s wealth is mark-to-market, not cash in the bank.
If SpaceX is worth $3T on paper, his stake can swing by tens of billions in a day. Warren Buffett built his fortune over decades by compounding realized business value. Elon’s wealth is tied to the market’s current estimate of future value.
Different games: one optimized for compounding, the other for scaling.