Hello my dears,

After introducing you to $TDY (+0,45%) Teledyne and noticed from your comments and likes. You are interested in the blade suppliers, so today I climbed deep into the engine room.

And found for you $LTRX found Lanotronix.

@EpsEra (do you know the company?)

Since Teledyne is a long-term runner that has impressed with its robustness in recent years.

I would like to emphasize that Lanotronix is a rather cyclical stock.

However, the tide could now be turning because Lanotronix products are becoming increasingly important. This is reflected in sales.

As the chart shows, investors also seem to be recognizing this. And that's why, dear readers, I don't want to withhold the company from you.

Estimates in millions:

2026 2027

Turnover 126.26 141.28

Profit - 6.24 - 3.46

EBIT 7.26 11.68

KGV -31.3 -57.8

Free cashf 16.95 12.8

(The company is not yet profitable)

Lantronix Inc (NASDAQ: LTRX) is a leading global provider of compute and connectivity solutions for IoT solutions that enable AI edge intelligence

Lantronix Inc (Nasdaq: LTRX) is a global leader in edge AI and industrial IoT solutions, providing intelligent computing, secure connectivity and remote management for mission-critical applications. Serving high-growth markets including smart cities, enterprise IT, and unmanned systems for commerce and defense, Lantronix enables customers to optimize operations and accelerate digital transformation. The comprehensive portfolio of hardware, software and services supports applications ranging from secure video surveillance and intelligent utility infrastructure to fail-safe out-of-band network management. By delivering intelligence at the network edge, Lantronix helps organizations achieve efficiency, security and a competitive advantage in today's AI-driven world.

Lantronix wins the IoT Evolution Asset Tracking Award 2025

Tier 1 mobile operator in the U.S. selects Lantronix to digitally monitor 50,000+ cellular generators with FOX Series telematics edge gateways

IRVINE, California, October 7, 2025 - Lantronix Inc. (NASDAQ: LTRX), a leading global provider of computing and connectivity IoT solutions for edge AI applications, today announced that its Gateways der FOX-Serie received the IoT Evolution Asset Tracking Award 2025 from IoT Evolution Magazine, the leading publication for the Internet of Things. A key player in the digital transformation of remote assets, Lantronix industrial IoT edge telematics gateways are the choice of a Tier 1 U.S. cellular operator for monitoring its 50,000+ cellular generators.

Lantronix gewinnt den IoT Evolution Asset Tracking Award 2025

Lantronix, Inc.: Edge-AI-Drohnenlösung von Lantronix integriert FLIR-Plattformen von Gremsy und Teledyne für längere, effizientere Flugzeiten

Lantronix launches no-code AI platform EdgeFabric.ai for edge computing/n

strategic collaboration positions Lantronix for long-term, high-margin growth in the defense and commercial drone markets, expected to reach $57.8 billion by 2030*

Lantronix launches no-code AI platform EdgeFabric.ai for edge computing/n

Lantronix lanciert No-Code-KI-Plattform EdgeFabric.ai für Edge Computing/n Von Investing.com

Lantronix share: Breakthrough in the drone market!

A new major order could be the turning point for Lantronix: The IoT specialist has beaten off the competition and been selected as a technology partner by Gremsy, a leading manufacturer of camera stabilizers for drones. The news has already caused the share price to jump by over 86% in the past six months.

The cooperation is based on Lantronix' Open-Q 5165RB System-on-Module, which is based on the Qualcomm Dragonwing processor. This solution powers Gremsy's new drone platform and Lynx ISR payload, which is seamlessly integrated with Teledyne FLIR's Hadron 640R dual thermal imaging camera. Notably, the technology is already in production and generating initial sales.

Why Lantronix was awarded the contract

"We chose Lantronix because the company is the trusted world market leader in the global drone industry," says Nguyen Van Chu from Gremsy, explaining the decision. Another decisive factor was the long-standing partnership with $QCOM (+0,9%) Qualcomm and the ability to deliver NDAA and TAA compliant solutions - a key advantage for government and defense applications.

The integrated solution scores with its energy efficiency and enables longer flight times with lower power consumption. Edge-based AI processing for object detection, real-time analytics and advanced connectivity with Wi-Fi 6 complete the package. The robust design works even in extreme temperatures from -25°C to +85°C.

Market potential makes investors prick up their ears

The figures speak for themselves: the drone market for defense and commercial applications is expected to grow to 57.8 billion dollars by 2030. Lantronix is cleverly positioning itself in this growth market with its high-margin solution, serving mission-critical applications in the government, energy, agriculture and infrastructure sectors.

CEO Saleel Awsare emphasizes the strategic importance: "With an increasing number of high-profile global drone customers, Lantronix is a key enabler for secure, high-performance drone platforms." The partnership with Gremsy demonstrates the scalability of the technology and opens the door for further collaborations with drone manufacturers worldwide.

Analysts are optimistic and see price targets of between 5 and 8 dollars per share. With a market capitalization of 180 million dollars, the drone division could become an important growth driver - especially if further design wins follow.

Lantronix Aktie: Durchbruch im Drohnenmarkt! () | aktiencheck.de

Lantronix solution supports US Army-certified Teal Drones, a Red Cat Holdings company, and unlocks growth opportunities for secure edge AI. $RCAT (+3,37%) Red Cat Holdings, and unlocks growth opportunities for secure edge AI

Lantronix Enables TAA and NDAA Compliant Edge AI Solution, Supports Sensitive U.S. Government Missions and Expands Long-Term Positioning in Defense Market

Lantronix-Lösung unterstützt die von der US-Armee

PowerPoint Presentation

But... since we don't know what will happen at the weekend, especially if he @trump has anything else to announce... of course don't exaggerate 😉

Good morning dear Getquin community 👋

Today I would like to introduce you to The Humanoid 66 and what it's all about. The market for humanoid robotics is just taking off and is facing one of the biggest upheavals since the advent of the automobile. Morgan Stanley and Goldman Sachs expect the market to be worth between 38 billion and three trillion US dollars by 2035. By 2050, over 60 million humanoid robots could be in use in the USA alone.

With The Humanoid 66, Morgan Stanley has compiled a list of 66 companies that are likely to benefit directly or indirectly from this development. These include not only the manufacturers themselves, but also suppliers and technology groups that provide the necessary infrastructure, from semiconductor and battery producers to sensor technology and software through to platform operators for artificial intelligence.

The leading players include $TSLA (-0,27%) Tesla with Optimus, Figure AI with Figure 02, Agility Robotics with Digit, Boston Dynamics with Atlas and Unitree with H1 and G1. Tesla is already planning to use more than a thousand Optimus robots in its own factories by 2024. The goal is clear: to make humanoid machines suitable for mass production at prices between 20,000 and 30,000 US dollars. Figure AI works closely with $MSFT (+0,32%) Microsoft, OpenAI and $BMW (+0,67%) BMW and was able to raise over 675 million US dollars in a financing round.

Technological progress is the key driver of this development. Multimodal generative AI enables humanoid robots to understand speech, communicate with humans and perform tasks autonomously. Advances in actuator technology, LiDAR systems, force sensors and battery technology are making the machines more efficient and more human-like. The energy density of modern lithium-ion cells is increasing by around 20 percent every two years, while the cost per kilowatt hour is expected to fall to 80 US dollars by 2030.

At the same time, wage costs for human labor are rising significantly. In the USA, they currently stand at just under 40 US dollars per hour, while in China they are around 6.50 US dollars and in India 4.45 US dollars. Studies show that automation can reduce labor costs in industrialized countries such as Germany, Japan and the USA by up to a third by 2025. Sectors such as agriculture, construction, care, logistics and manufacturing, where millions of jobs remain unfilled today, will be particularly affected.

The Humanoid 66 shows that this change goes far beyond individual companies. A new industrial ecosystem is emerging that links hardware, software, energy and data. Price reduction, scalability and integration into existing value chains will determine who will be among the winners.

Takeaway: Humanoid robotics is no longer a vision of the future, but the beginning of a structural reorganization of the global economy. Those who invest early in key areas such as AI chips, batteries, sensor technology and automation are positioning themselves in a sector that is likely to have a similarly profound impact as the invention of the car. The crucial question is just how far society is prepared to accept and integrate this new form of workforce.

For those who want to delve deeper: These are the companies featured in the Morgan Stanley report Humanoids @Tenbagger2024
@Multibagger

1. Tesla - USA - $TSLA (-0,27%)

2. Toyota - Japan - $7203 (+0,35%)

3. Xpeng - China - $XPEV (+0,41%)

4. Naver - South Korea - (not listed)

5. CATL - China - $3750 (+2,68%)

6. LG Energy Solution - South Korea - $373220 Subsidiary of LG

7. Samsung / Samsung SDI - South Korea - $SMSN (+1,72%)

8. SK Innovation - South Korea - $096770

9. HD Hyundai Infracore / Doosan (component) - South Korea - $042670

10. Hengli Hydraulic - China - $601100

11. NTN - Japan - $6472 (+1,01%)

12. NSK - Japan - $6471 (+1,35%)

13. Sanhua - China - $002050

14. Siemens - Germany - $SIE (+0,8%)

15. Top Group ("Topu") - China - $601689

16. Ambarella - USA - $AMBA (+2,26%)

17. Synopsys - USA - $SNPS (+0,57%)

18. NXP - Netherlands / USA - $NXPI (+0,92%)

19. Qualcomm - USA - $QCOM (+0,9%)

20. TSMC - Taiwan - $TSM (+1,4%)

21. Wolfspeed - USA - $WOLF

22. ARM - UK - $ARM (+1,18%)

23. onsemi - USA - $ON (+2,64%)

24. cadence - USA - $CDNS (+0,83%)

25. STMicroelectronics - Netherlands - $STM (+0%)

26. NVIDIA - USA - $NVDA (+0,67%)

27. SK hynix - South Korea - $HY9H (+5,41%)

28. sociionext - Japan - $6526

29. SMIC - China - $0981

30. infineon - Germany - $IFX (+0,96%)

31. Renesas - Japan - $6723 (-2,03%)

32. Dassault Systèmes - France - $DSY (-3,78%)

33. Mobileye - Israel / Intel ecosystem - $MBLY

34. Hexagon - Sweden - $HEXA B (+5,65%)

35. Knight Transportation - USA - $KNX (+0,26%)

36. DSV - Denmark - $DSV (-1,06%)

37. Werner Enterprises - USA - $WERN (+0%)

38. DHL Group - Germany / international - $DHL (-0,2%)

39. Kuehne + Nagel - Switzerland - $KNIN (+0,47%)

40. Obayashi - Japan - $1802 (+0%)

41. China State Construction Engineering Corporation (CSCEC) - China - $601668

42. RBG (presumably an Asian construction company) - (not listed)

43. Shimizu - Japan - $1803 (+0,86%)

44. Taisei - Japan - $1801 (-0,4%)

45. Baker Hughes - USA - $BKR (-2,11%)

46th SLB (Schlumberger) - USA - $SLB

47. Tenaris - Luxembourg / multinational - $TEN (-1,36%)

48. Halliburton - USA - $HAL (+0,02%)

49. amazon - USA - $AMZN (+0,4%)

50th Coupang - South Korea $CPNG (+0,56%)

51. JD.com - China - $JD (+0,79%)

52. BMW - Germany - $BMW (+0,67%)

53rd Mercedes-Benz - Germany - $MBG (+0,4%)

54th General Motors - USA - $GM (-0,16%)

55. BYD - China - $1211 (-0,56%)

56. Stellantis - NL / multinational - $STLAM (+0,99%)

57. Ford - USA - $F (-2%)

58. McDonald's - USA - $MCD (-0,2%)

59th Domino's - USA - $DPZ (+0,22%)

60. BGF Retail - South Korea - $282330

61. GS Retail - South Korea - $007070

62nd Lotte - South Korea - $004990

63. Yum China - China - $YUMC (+0,15%)

Source: Morgan Stanley Research Bluepaper Humanoids Investment Implications of Embodied AI and Stock3 drumbeat of Germany's humanoid robot manufacturers The Humanoid 66, 05.10.2025

https://api.guidants.com/db/e6/4/e134c52068e8c98a.pdf

Hi ,

my name is Karsten . I have lived all the years of my life without paying much attention to stocks and stock markets. At some point I completed my VWL and saved monthly in a European equity fund, then a fund policy was added, which at least put its amounts into a good international equity fund. In 2020, I then started to get to grips with the stock market and saved monthly in ETFs - without going into the typical beginner's mistakes in detail :-) sometimes more, sometimes less, wildly into various ETFs, so that at some point there was an ever-increasing number of ETFs with a savings rate of around € 150 :-) 2024 then gradually gathered more information and for about a year now a consistent monthly savings rate in six ETFs, which I am happy with:

45% $IS3R (+0,25%)

15% $VNRA (+0,32%)

11% $LCUJ (+0,07%)

11% $IEEM (+0,41%)

11% $MEUD (-0,11%)

7% $WSML (+0,57%)

A few months ago I started to read more and more information about individual stocks, valuations, strategies etc. ..... And here I would just like to say thank you to many people here, for example @BamBamInvest , @Multibagger , @Tenbagger2024 , @Aktienfox and others !

I started investing in individual stocks about 3 months ago - 85% is consistently put into savings contracts, 15% of the capital is for individual stocks. I thought to myself, hey - people spend € 100 on golf or fitness clubs - if you have such expenses, these funds are invested in further stock education :-) The first month was a plus / minus zero game ( so better than the monthly fee for the golf club ), the last two months have averaged € 450 plus with a lot of learning effects and moments - what a pleasant situation : € 300 were put into the monthly savings plans and thus doubled the savings rate, € 150 invested for the family ( food / cinema ) - I am already aware that there are currently strongly rising prices / markets and it requires rather a certain skill not to make these small profits in this momentum. In any case, for the time being I've only looked at momentum / short-term stocks and now with $AMZN (+0,4%) and $QCOM (+0,9%) also invested in two stocks that I see as longer-term investments.

In any case, a big thank you for this community - it broadens my horizons immensely, including the fact that I now know many companies that are, for example, in the $VNRA (+0,32%) and $WSML (+0,57%) are listed !

If I have something meaningful to say, I will be happy to speak up more in the future, but I grew up with the value system "If I can't contribute anything, I'll just shut up" or as Roger Wilhelmsen once said so beautifully ." Where do most people get all their ignorance from"

Dear community! 🙏

The topic of AI is omnipresent.

Many are shouting loudly that it is now a bubble on the stock market and cannot withstand the high expectations in the short and medium term.

What is certain is that LLMs such as ChatGPT or Gemini have become an integral part of many people's lives.

Still far from "perfect", generative AI nevertheless exudes a surreal magic that we could not have imagined in our wildest dreams just five years ago.

Large companies, such as Accenture recently, are laying off staff on a massive scale as part of a major "AI restructuring".

It seems clear that AI will soon cause massive upheaval in business and society.

Last week, I received my pre-order of Eliezer Yudkowsky's new book on "superintelligent AI" and devoured it in two days.

Although this post is not directly about stock market investing, I think the topic is important enough to interest you.

Buckle up for a round of existential angst on Monday 😎✨

__________________________

❓What exactly is this about?

Yudkowsky, the author, is co-founder of the "Machine Intelligence Research Institute" in Berkeley and warned of the existential risks of advanced AI systems over 20 years ago.

The title "If Anyone Builds It, Everyone Dies" of his latest book initially sounds like a lurid exaggeration ...

Although I knew the basic thesis on the dangers of AGI (Artificial General Intelligence) in advance, I didn't think too much of it.

With billions and billions flowing into the sector, clever minds will surely think about security (AI alignment) ... right? 🤔

To anticipate the core message of the book:

Yudkowsky and co-author Nate Soares go so far as to say that if we continue to research the capabilities of artificial intelligence and train better and better models, it will undoubtedly lead to the certain demise of humanity.

__________________________

⬛Functionality of LLMs and black box reality:

We know surprisingly little about how LLMs work internally.

"Mechanistic Interpretability" is researching this, but a general, scalable understanding is lacking.

This is fundamentally due to the fact that LLMs are not "programmed", but "grow" analogous to biological evolution.

Here is a rudimentary explanation of how it works, but it is sufficient to illustrate the problem:

A transformer model consists of billions of parameters whose weights are initially set randomly.

During training, it is given tasks in the form of texts and attempts to predict the next word.

Based on the error between the prediction and the correct answer, gradient descent is used to calculate in which direction and to what extent each weight must be changed in order to improve the result.

This process is repeated over an unimaginable number of texts, with the weights constantly adapting.

In this way, the Transformer gradually "learns" language patterns, meaning and context until it can write coherently.

__________________________

😶‍🌫️Unsichtbare Preferences:

Systems that grow via gradient descent can learn goals that do not correspond to our intentions.

They optimize a training goal and learn internal heuristics or "values" in the process.

This learning dynamic gives rise to instrumental goals (securing resources, avoiding shutdown), which can collide with human goals.

This has already been empirically observed in AI models and supports the fear of hidden desires that only become visible outside of training.

The "alignment" is therefore, as things stand today, unsolvable.

__________________________

🚀Race Condition (States & Big Tech):

In my opinion, this is the most important driver for the known risks simply being ignored.

Who slows down first?

Capital and governments are pushing forward with compute, talent, power and chips.

The AI Index shows record investments, massive government programs and ever faster scaling on the frontier.

Here is a paraphrased passage from the book that illustrates the problem:

Several companies are climbing upward as if on a ladder in the dark.

Each rung brings enormous financial gains (10 billion, 50 billion, 250 billion USD, etc.). But no one knows where the ladder ends - and whoever reaches the top rung causes the ladder to explode and destroys everyone.

Nevertheless, no company wants to be left behind as long as the next rung is seemingly safe.

Some managers even believe that only they themselves can control the "explosion" and turn it into something positive - and therefore feel obliged to keep climbing.

The same dilemma also applies to states: No country wants to weaken its economy through strict AI regulation, while other countries continue their research unabated. Perhaps, so the thinking goes, the next step is even necessary to safeguard national security.

The problem could be solved more easily if science could determine exactly at what performance limit AI becomes truly dangerous. For example: "The fourth rung is deadly" or "Danger looms above 257,000 GPUs". But there is no such clear limit.

A potential, real "Tragedy of the Commons". 🤷‍♂️

In theory, LLMs could become arbitrarily "intelligent" as long as they have enough parameters, data and computing power.

This follows from the Church-Turing hypothesis: a sufficiently large neural network can approximate (with enough precision) any computable function, including an arbitrarily "intelligent" one.

The development of capabilities that we are currently seeing seems to follow an exponential curve.

Nobody knows how much compute we really need to achieve AGI.

We may get to that point in five years, in ten, twenty or thirty years.

__________________________

🔮The most controversial part of the book. The forecast:

The book paints the extinction of humanity in less than 20 years as plausible if we don't stop AI development.

Whether you believe the figure or not, the timelines of many researchers have slipped significantly in recent years.

The AI Impacts Surveys (e.g. 2016, 2022, 2023) have surveyed AI researchers worldwide, especially those who publish at major conferences such as NeurIPS, ICML or AAAI.

The surveys show a clear trend towards shorter AGI timelines and significant p-doom values. (p-doom refers to the risk of humanity being wiped out by artificial intelligence).

⏱️AGI/HLMI timing (50% chance that AI will perform all tasks better and cheaper than humans - "high-level machine intelligence"):

• 2016: ~2061
• 2022: ~2059
• 2023 (published 2024): 2047

The jump 2022 → 2023 was -13 years. 🫨

💣p(doom) - "extremely poor outcomes"

• 2022: Median 5%, 48% of respondents state >10%.
• 2023 survey: 38-51% indicate >10% for scenarios "as bad as extinction".

Not consensus, but far from zero.

We are talking here about the assessment that there is a probability of around 10% that humanity will be wiped out. 🤯

__________________________

Well, hasn't humanity already survived various asymmetric risks?

What about nuclear weapons, for example? 🤔

Nuclear weapons risks are iterative.

Humanity can narrowly escape several times (as in 1962, 1983, 1995).

AGI, on the other hand, is unique:

When a system with uncontrollable power emerges, there is no turning back and no second chance.

"You only get one shot at aligning superintelligence, and you can't debug it afterwards."

- Eliezer Yudkowsky

This means that the expected value is catastrophically high, even if the probability is "small" (~10% according to leading AI scientists).

Nuclear weapons can kill.

A superhuman AI can decide what exists in the future.

__________________________

Closing words 🔚

There is no question that AI will profoundly change our lives in a short space of time.

In many jobs, the economic value that a person contributes already depends on how well they use AI as a tool.

But how long will it be before almost all jobs are performed by AI without human sensitivity or empathy?

For me, the sentence "I want to be operated by a human" is above all a quality requirement and a question of trust.

AI is new and often not yet reliable enough.

But what if talking AI avatars can no longer be distinguished from humans?

Which company, which state will still be able to afford it? not gradually hand over more responsibility to AI?

Regardless of what you think of Yudkowsky's predictions:

He may sound more dramatic than others, but he hits a sore spot.

We have opened Pandora's box with AI and are relying surprisingly heavily on hope when it comes to AI alignment.

Yudkowsky is not alone in this; the shifts in the AI Impacts surveys show a clear trend.

And now the obligatory question for you:

How do you rate the existential threat posed by AI? 😳

$NVDA (+0,67%)

$AMD (+2,22%)

$QCOM (+0,9%)

$META (+0,38%)

$GOOGL (+0,18%)

$MSFT (+0,32%)

$TSLA (-0,27%)

$GOOGL (+0,18%)
$QCOM (+0,9%)

I remain invested in both companies.

Google wants to merge Android and ChromeOS. The plan is to start in 2026 in order to broaden the ecosystem - including for AI.

The merger of Android and ChromeOS is set to take place next year: Google's Android boss Sameer Samat said this in the course of Qualcomm's Snapdragon Summit. Among other things, the company wanted to bring its own AI to all form factors.

According to Sameer Samat, Google is aiming to ensure that the devices in its own ecosystem work together seamlessly. "I think the opportunity for us is that we can accelerate all the AI advancements we're making on Android and bring it to the laptop form factor as quickly as possible. This will also allow a laptop and the rest of the Android ecosystem to work together seamlessly," he said on Wednesday.

According to Samat, the familiar ChromeOS user interface will be retained, but the technical foundation will be based on Android. "This combination is something we are very excited about for next year."

ChromeOS interface with Android underpinnings

The Android boss also explained that they are committed to the laptop form factor based on Chrome OS and that the platform has been a success for the company. The company also has Android tablets, which "have successfully evolved into increasingly productive devices". However, Google has currently paused its own development. It is conceivable that the company is currently pausing tablet development in order to provide future products with the Android ChromeOS version.

It is hardly surprising that Samat announced this news during Qualcomm's in-house exhibition. The first Android notebooks are likely to contain one of the new Snapdragon chips that Qualcomm announced there. It is unclear whether Google will use a smartphone SOC (system-on-a-chip) such as the Snapdragon 8 Elite Gen 5 or the new Snapdragon X2 Elite notebook chip for the first computers - or whether a different, more cost-effective model will be used.

As with Android smartphones and Chromebooks, Google is likely to work with various hardware manufacturers such as Acer, Samsung, HP and Lenovo to offer a range of Android notebooks in various designs, versions and price points. The new operating system could make its debut at Google's I/O developer trade fair, which usually takes place in May.

https://www.heise.de/news/Google-Notebooks-mit-Android-kommen-naechstes-Jahr-10675280.html

$QCOM (+0,9%)

My dears,

this is what makes investing fun. When growth stocks even pay dividends

Qualcomm has unveiled its latest smartphone chip for 2026. The company claims that it is the "fastest mobile processor" with a frequency of up to 4.6 GHz. You can find all the details here.

https://www.inside-digital.de/news/qualcomm-zuendet-den-turbo-snapdragon-8-elite-gen-5-vorgestellt

Hello dear Getquin Community,

This year's IAA Mobility in Munich showed that the automotive industry is on the verge of a turning point. With over 30 percent more exhibitors than in 2023 and numerous premieres from Audi, $BMW (+0,67%) BMW, $MBG (+0,4%) Mercedes, $VOW3 (+0,56%) VW, Opel and Chinese challengers such as BYD and $1211 (-0,56%) BYD and $9868 (+0,37%) XPeng, it became clear that electromobility has now become the standard. However, behind these new platforms and concepts lies an even bigger topic, namely autonomous driving and the robotaxis of the future.

In order to present this field in a clear and transparent way for investors, I have broken down the entire value chain into individual sectors. These include automotive and suppliers, semiconductors and technology, communication and infrastructure, software and algorithms, logistics and transportation, insurance and finance, energy and infrastructure, battery and propulsion, maps and mapping, and safety and cybersecurity. Within each sector, I have analyzed the big players, the hidden champions and the blade manufacturers and highlighted my favorites in each case with a brief explanation. @Multibagger 😎

My aim was to develop as comprehensive a picture as possible that shows where the opportunities lie in this new industry and how investors can position themselves at an early stage. Perhaps the IAA 2025 was not just a car show, but actually the starting signal for the next big investment ecosystem around robotaxis and autonomous driving. If I have overlooked any important aspects or if a categorization was not quite precise, I look forward to your comments @BamBamInvest
@Epi
😎 and exciting additions @All-in-or-nothing 😎 Together we can understand this topic even better and learn from each other. @Tenbagger2024 😎

Feel free to leave a 👍. I wish you every success with your investments 🚀

🚘 Automotive & suppliers

Big player:

$TSLA (-0,27%) Tesla - pioneer in autopilot/FSD, vertical integration, huge database

$MBG (+0,4%) Mercedes-Benz Group - EQS/EQE with Level 3 approval in Germany, strong regulatory expertise

$BMW (+0,67%) BMW - New class platform, e-models with prepared sensor technology & level 3 approaches

$VOW (+1,36%) VW Volkswagen - Cariad software unit, massive push towards ADAS/AV

$7203 (+0,35%) Toyota (Japan) - largest OEM, cooperation with Pony.ai and Denso

$GOOGL (+0,18%) Alphabet Waymo (private/Alphabet $GOOGL) - robotaxi pioneer in the USA

$9888 (+1,04%) Baidu Apollo (9888.HK) - Robotaxi & Full-Stack AV in China

$Pony.ai (private, China) - Robotaxi & partnerships with Toyota

👉 Favorite: Alphabet Waymo ($GOOGL (+0,18%))

Moat through years of data collection in real operation, deep AI integration, financially secured by Alphabet. Compounder potential, as Waymo can scale as a platform.

Hidden champions:

$APTV (+0,68%) Aptiv - supplier for ADAS, sensor fusion, E/E architectures

$MG (+0,24%) Magna International - produces complete vehicle systems including autonomous components

$ZF Friedrichshafen (private) - German giant in steering and braking systems for AVs

Veoneer (private, formerly listed) - safety software, vision, sensor technology

$SHA0 (+1,51%) Schaeffler AG (DE, Germany, Xetra) - global supplier of drive, chassis and intelligent steering systems. Important for e-mobility and redundancy solutions in autonomous driving.

👉 Favorite: Aptiv ($APTV (+0,68%)
)

High barriers to entry through system integration, broad customer base (OEM-agnostic), strong cash flow and close partner of major car manufacturers.

Blade manufacturer:

$NVDA (+0,67%) Nvidia - Drive Orin / Thor chips for OEMs, standard in the AV sector

$QCOM (+0,9%) Qualcomm - Snapdragon Ride platform for AVs

$INTC (-2,34%) Intel Mobileye - EyeQ chips, one of the market leaders in ADAS

$LAZR (+2,08%) Luminar Technologies - Lidar, partnerships with Volvo, Mercedes, SAIC

$OUST Ouster, Inc. - Lidar solutions

$INVZ Innoviz (INVZ) - Lidar sensor technology, cooperation with VW & BMW

👉 Favorite: Nvidia ($NVDA (+0,67%)
)

Dominance in high-performance AI chips, ecosystem with software (CUDA, DriveSim), network effects through partnerships with almost all OEMs. Classic compounder, enormous moat due to technology and developer lock-in.

Takeaway:

In the automotive & supplier sector, it's not just who sells the most cars, but who has mastered the best technology stack for autonomy. OEMs work closely with specialized suppliers and blade manufacturers. Investors should focus less on unit numbers and more on data basis, software expertise and partnerships. The real levers often lie with suppliers and technology enablers, not just the traditional car brands.

💻 Semiconductors & technology

Big players:

$NVDA (+0,67%) Nvidia - GPUs & AV chips (Drive Orin, Drive Thor), software ecosystem

$QCOM (+0,9%) Qualcomm - Snapdragon Ride platform, automotive pipeline >30 billion USD

$INTC (-2,34%) Intel / Mobileye - EyeQ chips, ADAS market leader

$AMD (+2,22%) AMD - GPU/CPU, entry into automotive AI compute

👉 Favorite: Nvidia ($NVDA (+0,67%)
) Unique position: Technological moat through CUDA ecosystem, enabler of almost all AV developments, quasi-monopoly in high-end compute. Classic compounder with long-term growth leverage.

Hidden champions:

$LAZR (+2,08%) Luminar Technologies - Lidar supplier, partnerships (Volvo, Mercedes, SAIC)

$INVZ Innoviz Tech. - Lidar, BMW & VW as customers

$KOTMY Koito Manufacturing - world market leader in automotive lighting, entry into lidar through Cepton integration, important role as supplier for OEMs

$AMBA (+2,26%) Ambarella (AMBA) - camera chips & vision processors for AV

$STMPA (-0,69%) STMicroelectronics (France/Italy, Euronext) - automotive microcontrollers, sensors, power electronics. European counterpart to Infineon.

$AIXA (+1,45%) Aixtron (Germany, Xetra) - supplies manufacturing equipment for SiC and GaN semiconductors, indispensable for power electronics in EV/AV.

$ELG (+3,32%) Elmos Semiconductor (Germany, Xetra) - niche player for mixed-signal semiconductors in automotive, e.g. for radar and driver assistance.

👉 Favorite: Luminar ($LAZR (+2,08%)
) Clear technical USP, strategic OEM deals in series production, high barriers to entry in lidar technology. Scalable compounder in a niche market.

Blade manufacturer:

$TSM (+1,4%) Taiwan Semiconductor - production of all relevant automotive chips

$ASML (+0,26%) ASML Holding - Lithography monopolist, without ASML no AI/AV chips

$EQIX (+0,13%) Equinix - data center colocation for AI training & simulations

$DLR (+1,03%) Digital Realty - cloud and data infrastructure

$AMZN (+0,4%) Amazon AWS - Cloud resources for AI training, simulation & OTA updates

👉 Favorite: ASML ($ASML (+0,26%)
) Monopoly on EUV lithography, no advanced chips for autonomous driving without ASML. Moat through technology and patents, classic compounder.

Takeaway:

Semiconductors & technology are the foundation of autonomous driving. While Nvidia plays the central role with computing power, lidar specialists such as Luminar ensure perception. The real shovelware winner, however, is ASML, without whose machines there would be no AV chips. Investors will find the deepest technological moats in the entire value chain here.

📡 Communication & infrastructure

Big players:

$ERIC B (-0,41%) Ericsson - 5G/6G networks, vehicle-to-everything (V2X) applications, global player

$NOK (-0,94%) Nokia - 5G/Edge solutions for automotive & smart cities

$QCOM (+0,9%) Qualcomm - Snapdragon Digital Chassis, V2X chipsets, automotive pipeline

Huawei (private, China) - strong player in 5G/AV communication, partnerships in Asia

👉 Favorite: Qualcomm ($QCOM (+0,9%)
) Wide moat through IP in mobile communications, at the same time deep automotive integration via Snapdragon Ride & Digital Chassis. Compounder, as economies of scale in chips + licenses worldwide.

Hidden champions:

$Cohda Wireless (private, Australia) - pioneer for V2X communication, software solutions for OEMs

$Autotalks (private, Israel, acquisition by Qualcomm planned) - leader in dedicated V2X chips

Commsignia (private, Hungary) - V2X middleware & roadside units

👉 Favorite: Autotalks (private, Israel)

Technology leader in dedicated V2X chips, unique IP portfolio. Strong takeover candidate (Qualcomm already active), giving moat + exit potential.

Shovel manufacturer:

$CSCO (+0,21%) Cisco Systems - network infrastructure for automotive, cloud & edge

$AMT (-0,28%) American Tower - cell towers & infrastructure, benefits from 5G expansion

$CCI (-0,85%) Crown Castle - radio tower and fiber optic infrastructure (mainly USA)

$EQIX (+0,13%) Equinix - data centers, basis for edge computing and OTA updates

$DLR (+1,03%) Digital Realty - colocation & data center capacity for simulations and AV data

👉 Favorite: Equinix ($EQIX (+0,13%)
)

Global leader in data center colocation, benefits from the edge computing trend. Strong moat due to network effects & high switching costs. Long-term compounder.

Takeaway:

Communication & infrastructure are the silent cornerstones of autonomous driving. Without low-latency networks, edge data centers and V2X communication, no AV can drive safely. While Qualcomm forms the technological bridge between chip and infrastructure, hidden champions such as Autotalks secure niche leadership. On the blade side, Equinix remains unbeatable, as every OEM & service provider needs computing power at the edge.

🤖 Software, platforms & algorithms

Big Player:

$GOOGL (+0,18%) Alphabet / Waymo - Robotaxi pioneer, full-stack AV software, years of database

$TSLA (-0,27%) Tesla - FSD, Dojo supercomputer, vertical integration incl. fleet

$9888 (+1,04%) Baidu Apollo (HK) - largest robotaxi network in China, full-stack solution

$UBER (+0,45%) Uber - AV platform in partnership (e.g. with Momenta), scaling via existing user base

👉 Favorite: Alphabet / Waymo ($GOOGL (+0,18%)
)

Unbeatable moat due to millions of real driving kilometers + simulations, strong financial base via Alphabet, focus on platform scaling (robotaxi, licensing model). Compounder with global expansion potential.

Hidden champions:

$Momenta (private, China) - L4 software for OEMs, partner of Mercedes, Toyota

$AUR Aurora Innovation - software + sensor technology for truck autonomy, partner PACCAR, Volvo

$Argo AI (private, USA) - formerly Ford/VW, now partly continued through partner projects

$Oxbotica (private, UK) - modular AV software, focus on industrial & logistics applications

👉 Favorite: Aurora Innovation ($AUR
)

Clear focus on trucking (biggest lever in the AV market), long-term OEM partnerships, strong moat due to specialization in long-haul autonomy. Still young, but strong compounder potential.

Shovel manufacturer:

$PLTR (+1,13%) Palantir - data management, simulation & AI analysis for AV training

$SNOW (+1,17%) Snowflake - Cloud data platform, relevant for AV data streams

$MSFT (+0,32%) Microsoft Azure - cloud & simulation platform for OEMs

$AMZN (+0,4%) AWS - largest provider for AI training & simulations in the AV sector

$ADBE (+0,69%) Adobe - Simulation & Digital Twin Tools (via partnerships)

👉 Favorite: Palantir ($PLTR (+1,13%)
)

Deep integration in data pipelines, modular platform for simulation & decision logic. Moat due to lock-in effects with major customers, strong compounder with AI scaling.

Takeaway:

Software and algorithms are the real key to autonomous driving. Vehicles are becoming "data centers on wheels" and only the companies with data, simulation and AI stacks can dominate the market in the long term. Waymo provides the scalable robotaxi ecosystem, Aurora scores with its trucking focus, and Palantir ensures that data streams remain manageable. This is where the biggest margins are generated, not in the sale of hardware.

🚚 Logistics & transportation

Big player:

$AUR Aurora Innovation - focus on autonomous trucks, partnerships with Volvo & PACCAR

$TuSimple (private, USA) - pioneer for autonomous trucks, strong in the USA and China, currently undergoing restructuring

$AMZN (+0,4%) Amazon / Zoox - Robotaxi & autonomous delivery services, integration into e-commerce and Prime

$FDX (+0,02%) FedEx - test programs for autonomous delivery (cooperations with Aurora, Nuro, among others)

$DHL (-0,2%) Deutsche Post DHL - pilot projects with autonomous delivery vehicles & drones

👉 Favorite: Amazon / Zoox ($AMZN (+0,4%)
)

Moat through e-commerce ecosystem, integration of AV in the last mile, strong financial power and scalability. Compounder due to synergies between logistics and technology.

Hidden champions:

$Nuro (private, USA) - autonomous delivery vehicles specifically for the last mile

$Einride (private, Sweden) - electric autonomous trucks, focus on freight & sustainability

$Gatik (private, Canada/USA) - AV for medium distances (B2B supply chains, e.g. Walmart)

$Starship Technologies (private, Estonia/USA) - autonomous delivery robots for urban logistics

👉 Favorite: Gatik (private, Canada/USA)

Clear business model: "middle-mile" logistics, profitable niche market with predictable routes. Moat through early commercial contracts (Walmart). Compounder potential through scaling in the B2B sector.

Shovel manufacturer:

$CAT (+0,45%) Caterpillar - autonomous technologies for construction machinery & mining, know-how transferable

$DE (+0,53%) Deere & Co - autonomous agricultural machinery, similar technology stacks as for trucks

$ISRG (+0,09%) Intuitive Surgical - example of high-end automation (here as a cross-reference for AV tech transfer)

$UPS (+0,2%) United Parcel Service - logistics infrastructure, partner for AV integration

$R (+0,36%) Ryder System - fleet management, leasing and AV test integration

👉 Favorite: Deere & Co ($DE (+0,53%)
)

Autonomy already in use (precision farming), moat through data & technology in the agricultural sector. Compounder quality, as know-how in navigation & autonomy is transferable to transportation/logistics.

Takeaway:

Logistics is one of the first markets where autonomous driving brings real profitability. Trucks and delivery services benefit from 24/7 operation without drivers, while the last mile (Nuro, Gatik) opens up new business models. Amazon is the most powerful player through vertical integration, while hidden champions like Gatik occupy targeted profitable niche markets. Shovel manufacturers such as Deere supply the already proven autonomy stacks.

🏦 Insurance & finance

Major players:

$ALV (-0,34%) Allianz - the world's largest insurer, involved in AV pilot projects at an early stage

$MUV2 (+0,31%) Munich Re - reinsurance, develops models for AV risk transfer

$CS (-0,7%) Axa - active in AV insurance testing & research

$BRK.B (-0,09%) Berkshire Hathaway - large presence in the US motor insurance market via Geico

👉 Favorite: Munich Re ($MUV2 (+0,31%)
)

Moat through global reinsurance strength, pioneer in new risk models for AVs. Compounder characteristics through diversification and ability to insure new markets (cyber, AV, climate) at an early stage.

Hidden champions:

$LMND (+2,3%) Lemonade - digital insurance, AI-driven, quickly adaptable for AV policies

$Root Insurance (private/USA, formerly listed) - data-driven car insurance, use of driving data

$Next Insurance (private, USA) - platform approach, simple onboarding for new risks

$Wefox (private, Germany) - digital platform for insurance brokerage, flexible for new products

👉 Favorite: Lemonade ($LMND (+2,3%)
)

Pure digital insurer with AI-driven underwriting. Moat through data and automation approach. Still small, but compounder potential as scalable platform can be used in new markets such as AV policies.

Shovel manufacturer:

$SREN (+0,59%) Swiss Re - global reinsurer, benefits from increasing AV risk volume

$VRSK Verisk Analytics - data & risk analytics for insurers, AV risk models

$GWRE (+0,71%) Guidewire Software - software solutions for insurance companies, customization for AV policies

$FICO (+0,29%) Fair Isaac - Analytics & risk modeling, increasingly relevant for complex AV data

👉 Favorite: Verisk Analytics ($VRSK
)

Moat through exclusive data pools & analytics. Enabler for almost all insurers. Compounder character, as growing demand for data & models in new markets such as AVs.

Takeaway:

Autonomous driving shifts liability from the driver to the manufacturer or software provider. Insurers need to develop new products, reinsurers and data providers are becoming more important. Munich Re is protecting the industry, Lemonade is testing digital models and Verisk is providing the data intelligence without which no AV insurance can function. Investors will find silent but indispensable winners of the upheaval here.

🛡️ Security & Cybersecurity

Big players:

$PANW (+0,81%) Palo Alto Networks - market leader in network security, focus on cloud & IoT, relevant for connected vehicles

$CRWD (+1,17%) CrowdStrike ($CRWD) - endpoint security, strong platform for AV endpoints and fleets

$CHKP (+0,77%) Check Point ($CHKP) - Security appliances & firewalls, focus on embedded & IoT

$CSCO (+0,21%) Cisco Systems ($CSCO) - Network security + automotive infrastructure

👉 Favorite: Palo Alto Networks ($PANW (+0,81%)
)

moat due to the width of the platform, which extends from the data center to the vehicle. With the $CYBR (+0,9%) -integration, PANW has also covered the topic of identity security. Compounder properties through continuous expansion, high customer loyalty and a strong M&A strategy.

Hidden champions:

$CON (+1,46%) Argus Cyber Security (private, subsidiary of Continental) - specialized in automotive cybersecurity

$Upstream Security (private, Israel) - cloud-based cyber platform specifically for connected vehicles

Karamba Security (private, Israel) - embedded security for control units (ECUs)

$4704 (-0,04%) VicOne (subsidiary of Trend Micro) - AV-specific threat analysis

👉 Favorite: Argus Cyber Security (private, part of $CON (+1,46%)
Continental)

Pioneer in the automotive segment, deep integration in OEMs. Moat through early partnerships and specialization in vehicle architectures.

Shovel manufacturer:

$AKAM (+0,3%) Akamai - Content Delivery & Edge Security, relevant for OTA updates

$FTNT (+1,14%) Fortinet - Network & IoT security, broad base

$ZS Zscaler - cloud-native security for data traffic between AV & cloud

$NET (+1,36%) Cloudflare - infrastructure protection, DDoS protection for fleets & updates

$BB (+0,43%) BlackBerry QNX - Operating system & security framework for automotive

👉 Favorite: BlackBerry ($BB (+0,43%)
)

Moat by QNX, which is already running in millions of vehicles. Strong lock-in with OEMs. Compounder potential if QNX continues to scale as a security operating system for AV architectures.

Takeaway:

Cybersecurity is the nervous system of autonomous driving. Without secure communication, OTA updates and fleet protection, AV is inconceivable. Palo Alto Networks provides the necessary breadth and depth, Argus secures the vehicles themselves, and BlackBerry QNX provides the foundation in the control units. Investors are relying on the invisible gatekeepers of tomorrow's mobility.

⚡ Energy & infrastructure

Big player:

$EBK (+0,74%) EnBW - operator of charging infrastructure in Germany, expansion of fast-charging parks

$SHEL (+0,3%) Shell - massive entry into e-mobility & charging infrastructure, partnerships with OEMs

$BP (-0,66%) BP - charging and energy infrastructure via bp pulse, global rollout

$TSLA (-0,27%) Tesla ($TSLA) - Supercharger network as AV backbone, potential licensing model

👉 Favorite: Tesla ($TSLA (-0,27%)
)

Moat due to world's largest fast charging network with high availability & own software integration. Compounder, as Supercharger can grow as a service independently of the OEM.

Hidden champions:

$Ionity (private, joint venture of BMW, Mercedes, Ford, VW, Hyundai) - Europe's premium charging network 👉 Access via OEMs such as BMW or Mercedes

$ALLG Allego - listed charging infrastructure operator, focus on Europe

$FAST (+0,57%) Fastned (FAST.AS) - fast charging network in Europe, rapidly growing

$DCFC Tritium DCFC - manufacturer of fast charging stations, globally active

👉 Favorite: Fastned ($FAST (+0,57%)
)

Clear business model as a pure fast-charging operator, strong moat through premium locations & brand perception. Compounder potential via expansion in Europe.

Shovel manufacturer:

$ABBN (+0,2%) ABB - leader in charging hardware & power grid infrastructure

$ENR (+2,03%) Siemens Energy - grid infrastructure & charging hardware, important supplier for energy transition + AV

$SU (+0,77%) Schneider Electric - power distribution, smart grids for charging infrastructure

$6594 (+3,25%) Nidec - motors & drives for e-mobility

$ETN (+0,8%) Eaton - Energy management & charging infrastructure components

👉 Favorite: ABB ($ABBN (+0,2%)
)

Broadly positioned from fast charging hardware to grid technology. Moat due to market leadership & long-standing customer base. Compounder, as electromobility + AV will bring growth for decades.

Takeaway:

Autonomous vehicles don't just need software, they need a reliable charging and energy base. Tesla is securing a massive advantage with its Supercharger network, while hidden champions such as Fastned are setting the pace in Europe. On the shovel side, ABB dominates with its global infrastructure expertise. Investors should not underestimate this sector, as no AV will drive without energy.

🏙️ Mobility services & platforms

Big players:

$UBER (+0,45%) Uber Technologies - ride-hailing, partnerships with AV start-ups (Momenta), robotaxi plans in Munich

$LYFT (+1,37%) Lyft - ride-hailing, own AV programs, cooperations with Aptiv & Motional

$DIDIY (+0,93%) Didi Global - largest ride-hailing network in China, AV research on Didi Autonomous Driving

$9888 (+1,04%) Baidu Apollo - robotaxi operator in China, leading with Apollo Go

$AMZN (+0,4%) Amazon / Zoox - fully autonomous robotaxi, integration into Amazon ecosystem

👉 Favorite: Baidu Apollo ($9888 (+1,04%)
HK, China, HKEX)

Moat through network effects in the world's largest mobility market. Apollo Go has already completed hundreds of thousands of robotaxi journeys. Compounder potential as China aggressively promotes AV.

Hidden champions:

$Momenta (private, China) - L4 autonomy software, partnerships with Mercedes & Toyota, based in Suzhou, China

👉 Access indirectly via investors such as $7203 (+0,35%) Toyota or Mercedes $MBG (+0,4%)

$Motional (joint venture Hyundai & Aptiv, private, USA/South Korea) - Robotaxi tests in the USA

👉 Access via $Hyundai or $APTV (+0,68%) Aptiv

$WeRide (private, China) - Robotaxi & AV bus solutions, based in Guangzhou, China

👉 Investors: Renault-Nissan-Mitsubishi Alliance

$Cruise (private, USA) - GM subsidiary for robotaxis, based in San Francisco

👉 Access via $GM (-0,16%) General Motors

👉 Favorite: Motional (private, USA/South Korea)

Strong moat through OEM partnerships (Hyundai + Aptiv). Realistic scaling through series integration, compounder potential via global fleet integration.

Shovel manufacturer:

$HTZ (+1,64%) Hertz Global - fleet management, integration of AVs in rental fleets

$SIX2 (+0,2%) Sixt SE - Car sharing & fleet leasing, focus on Europe

$R (+0,36%) Ryder System ($R, USA, NYSE) - fleet services & leasing, AV test integration

$GRAB (+2,26%) Grab Holdings ($GRAB, Singapore, Nasdaq) - Southeast Asian ride-hailing market leader, entry into AV services

$Ola Cabs (private, India) - AV pilot projects in India

👉 Favorite: Sixt SE ($SIX2 (+0,2%)
.DE, Germany, Xetra)

Moat due to premium positioning in Europe, flexible business model (rental, leasing, car sharing). Compounder, as Sixt invests early in fleet integration of AVs and benefits from growing Mobility-as-a-Service market.

Takeaway:

Mobility services are the interface to the end customer. This is where it will be decided whether AVs remain just technology or break through to the mass market. Baidu dominates in China, Motional scores with strong partners in the West, and Sixt provides the platform to bring scalable AVs into everyday life in Europe. Investors who get in early will secure access to the future platform monopolies of mobility.

🔋 Battery & drive

Big player:

$300750 CATL - world market leader for battery cells, supplies almost all major OEMs

$373220 LG Energy Solution - global player, supplier for Tesla, Hyundai, GM

$6752 (+1,3%) Panasonic Holdings - long-standing partner of Tesla, strong in energy storage

$1211 (-0,56%) BYD - integrates battery production and vehicles, pioneer in blade batteries

👉 Favorite: CATL ($300750
SZ, China, Shenzhen)

Moat due to technological leadership and economies of scale, supplies almost all global OEMs. Classic compounder, as batteries are at the heart of every AV fleet.

Hidden champions:

$Northvolt (private, Sweden) - European battery startup, sustainable production, supplies VW and BMW 👉 Access indirectly via VW ($VOW3 (+0,56%) DE, Germany, Xetra) or BMW ($BMW (+0,67%) DE, Germany, Xetra)

$SLDP Solid Power - specialist for solid-state batteries, partnerships with Ford and BMW

$ProLogium (private, Taiwan) - solid-state batteries, pilot projects with Mercedes👉 Access indirectly via Mercedes-Benz Group ($MBG (+0,4%) DE, Germany, Xetra)

$QS QuantumScape ($QS, USA, NYSE) - solid-state batteries, strong focus on future technology

$MOD (+1,05%) Modine Manufacturing (USA, NYSE) - Thermal management for batteries, e-motors and power electronics. Critical for range and safety.

$KULR (+2,25%) Technology (USA, NYSE) - specializes in battery cooling, energy storage and recycling. Still small, but focus on safety makes it interesting in the AV context.

$ZIL2 (-1,32%) ElringKlinger (DE, Germany, Xetra) - supplier of battery packs, housings, seals and fuel cell technology. Supports OEMs in electrification and alternative drive systems.

👉 Favorite: Solid Power ($SLDP
USA, Nasdaq)

Technology leader in solid-state batteries with strong OEM partnerships. Moat through patents and early market entries. Compounder potential through commercialization from 2027+.

Blade manufacturer:

$6594 (+3,25%) Nidec (JP) - leader in electric motors for EVs and AVs

$IFX (+0,96%) Infineon Technologies (DE) - semiconductors for power electronics and battery management

$300450 Wuxi Lead Intelligent (China, Shenzhen) - machines for battery production

$UMI (-1,22%) Umicore (Belgium, Euronext) - cathode materials and recycling

$ALB (+2,83%) Albemarle (USA, NYSE) - Lithium mining and processing

👉 Favorite: Infineon Technologies ($IFX (+0,96%)
DE, Germany, Xetra)

Moat due to market leadership in power electronics, deeply integrated in battery and drive systems. Compounder potential due to growing demand for silicon carbide (SiC) chips for EV and AV applications.

Takeaway:

Battery and drive are the foundation of autonomy. Without powerful energy storage, reliable electric motors and robust power electronics, no autonomous vehicle can be operated economically. CATL dominates cell production, Solid Power is a promise of the future in solid state technology, and Infineon supplies the critical power electronics. Investors who neglect this sector are ignoring the heart of autonomous driving.

🗺️ Maps & Mapping

Big players:

$GOOGL (+0,18%) Alphabet / Waymo (USA, Nasdaq) - HD maps for robotaxis, combined with AI-supported real-time navigation

$9888 (+1,04%) Baidu Apollo (China, HKEX) - leader in AV mapping in China, integrated into Apollo Go

$HERE Technologies (private, based in NL/DE, owners: Audi, BMW, Mercedes and others) - global provider of HD maps, industry standard for many OEMs

$TOM2 (-1,61%) TomTom (Netherlands, Euronext) - specialized in HD maps for AVs, partner of Volvo and Bosch

👉 Favorite: HERE Technologies (private, access via OEMs Audi, BMW, Mercedes)

Moat through global map databases, OEM consortium as backing. Compounder potential, as almost all autonomous vehicles rely on HD maps.

Hidden champions:

$002405 Navinfo Co. Ltd, (China, Shenzhen) - market leader for digital maps in China, partnerships with OEMs - unfortunately not tradable in the EU

$Civil Maps (private, USA) - specialized in AI-supported HD mapping for AVs

$DeepMap (private, USA, acquired by $NVDA (+0,67%) Nvidia) - high-precision mapping, integration with Nvidia Drive

$Mapbox (private, USA) - cloud-based mapping platform, strong in the developer ecosystem

👉 Favorite: NavInfo ($002405
SZ, China, Shenzhen)

Dominance in the Chinese market, regulatory anchoring and partnerships with major OEMs. Moat through market access in China, compounder potential through data growth.

Shovel manufacturer:

$PL Planet Labs (USA, NYSE) - daily earth observation data, basis for dynamic mapping

$HEXA B (+5,65%) Hexagon AB (Sweden, Nasdaq Stockholm) - measurement technology and geodata solutions

$TRMB (+0,68%) Trimble (USA, Nasdaq) - positioning and geospatial data for AV and industrial applications

👉 Favorite: Hexagon AB ($HEXA B (+5,65%)
Sweden, Nasdaq Stockholm)

Moat due to decades of experience in geodata and measurement technology, strong market position in industry and automotive. Compounder potential, as mapping and positioning are indispensable for all AV applications.

Takeaway:

High-precision maps are the nervous system of autonomous driving. Without continuously updated HD maps, vehicles cannot navigate safely. HERE secures a key role through OEM stakes, NavInfo dominates the Chinese market, and Hexagon provides the geospatial bucket technology. Investors should not overlook this sector, as mapping is the invisible foundation on which autonomy works.

Sources: own research, https://www.t-online.de/mobilitaet/aktuelles/id_100901210/iaa-mobility-muenchen-2025-alle-neuheiten-von-audi-bmw-vw-opel.html

Images: https://www.deraktionaer.de/artikel/mobilitaet-oel-energie/robotaxis-das-milliardenrennen-der-autonomen-autos-20381083.html

https://insideevs.de/features/763886/vorschau-iaa-2025-neuheiten-2026/