I started investing at the beginning of the month and have spent the last three weeks building up a portfolio with the aim of accumulating wealth over the long term. I am now relatively familiar with the topic, have analyzed many strategies and have decided on an approach based on two pillars:

1. growth portfolio:

I invest in broadly diversified ETFs such as the $VWCE (+0,32 %)combined with thematic focuses such as $XAIX (+0,52 %) and the healthcare sector. I also invest in individual stocks such as $NVDA (-0,33 %), $BRK.B (+0 %) or $TTWO (+1,11 %) - the latter deliberately as a small position for the speculative component (GTA VI hype is realistically not entirely irrelevant).

2. distributing dividend portfolio:

Here I am betting on classic dividend stocks. These include the $VHYL (-1,18 %), $SPYW, (+0,09 %)
$SEDY (+0,2 %) as well as individual stocks such as $KO (+0,69 %) or $ALV (-0,52 %). The aim is to generate a steady cash flow that can be reinvested in the long term.

I am aware that there is no perfect distribution. That's why I'm interested in your opinion:

• Which stocks would you weight higher or reduce?
• Is there anything that doesn't fit in at all from your point of view?
• How do you balance growth and dividends?

I am open to criticism, experience and other perspectives.

NVIDIA lowers EPS forecast

NVIDIA $NVDA (-0,33 %) recently lowered its estimates for S&P 500 earnings from continuing operations for the years 2025 and 2026. These adjustments are not simply number changes, but reflect the real challenges the company expects in the current economic climate. Higher costs and a decline in trade could weigh on profits, which is causing a stir in the industry. Nevertheless, the first quarter figures have exceeded expectations and show annual EPS growth of around 14%. The strategies of companies such as Walmart and Home Depot to deal with the upcoming tariffs are also noteworthy. Walmart plans to pass the tariffs on to customers, which could potentially lead to a decline in revenue. In contrast, Home Depot wants to absorb the costs itself, but this could put pressure on profit margins. EPS for the S&P 500 is forecast at USD 270 for 2025 and USD 300 for 2026, which is a clear reduction in growth forecasts.

Lithium could become scarce in 2030

There are worrying developments in the area of lithium supply in the USA and Europe. A recent study by East China Normal University in collaboration with Sweden's Lund University warns that lithium, a crucial raw material for electric cars, could become severely scarce by 2030. Demand is expected to rise to 792,000 tons, while the EU will only be able to produce 325,000 tons. This discrepancy is alarming, as Europe is heavily dependent on imports, particularly from countries such as Chile, Australia and China. While Germany is actively working on its own lithium extraction projects, a shortage is also predicted in the USA and China. The researchers suggest reducing the use of lithium and developing new battery technologies such as sodium-ion batteries to alleviate the impending shortage. This could not only reduce dependence on lithium, but also secure the future of e-mobility.

Sources:

https://finance.yahoo.com/quote/NVDA/

https://www.n-tv.de/wirtschaft/Schon-2030-koennte-das-Lithium-fuer-E-Autos-knapp-werden-article25830727.html

Partial sale $MSFT (+1,19 %)
$NVDA (-0,33 %)

Purchase $ESLT (-0,21 %)
$BATS (-1,06 %)

Here are some thoughts on the shortening of the dollar:

Where does the dollar currently stand?

-> still historically high, but!

Current bias of the market:

-> shorting the dollar is therefore not

original idea (crowded trade)

Some catalysts for a dollar reversal:

> Trade surplus and financing abroad decrease

(Example: remittances to Mexico fall to a historic low)

-> growing "dollar shortage

> US dollar has decoupled itself from the rise in interest rates in the short term. This will become relevant in due course (more on this in the conclusion).

(shown is the expected interest rate differential of the USA compared to the other G10 countries - over the next 2 years)

Conclusion/opinion: Even if the US dollar has lost its "safe haven" status in the eyes of some investors, despite its historically high valuation, I believe we will see a return to "dollar safety" with the next full-on crisis in another country, especially EM.

It has to be said that I am personally bearish on the dollar in the long term (10+ years), but it is easy to nuke your account when shorting.

I also don't think hedging is necessary for 99% of the community, as it also requires the right sizing, for example - not to mention that I think it only makes sense from a portfolio size of mid 6-digit to 7-digit range.

On this topic @Epi and @leveragegrinding have also written articles on this topic, take a look at them!

For the additional reach 😉

$NVDA (-0,33 %)
$GOOGL (-1,87 %)
$1211 (+0,81 %)
$MSFT (+1,19 %)
$BTC (+0,89 %)

My dears,

It's hard to believe, but Nvidia is on board again. And this time it's about flying cars, Omniverse and simulation technology.

A revolution Elon Musk could only dream of.

My dears, the age of AI has begun.

And as an investor, it's so much fun to be part of it.

$SHA0 (-0,71 %) . $NVDA (-0,33 %)

Schaeffler is planning a digital ecosystem with a new partner to revolutionize its production processes. The Franconian supplier's more than one hundred plants are set to benefit from this.

The Franconian automotive supplier Schaeffler continues to invest heavily in future technologies - despite challenges and job cuts. The latest developments include the completion of a 50-million-euro technology center in Herzogenaurach, advances in electromobility and autonomous driving. The surprising commitment to air mobility with drives for flying cars recently caused a stir. At the same time, there are expansion projects, such as the expansion of business in Asia.

As the global corporation based in Herzogenaurach has now announced, Motion Technology Company Schaeffler has entered into a technology partnership with the US company NVIDIA. "The aim of the partnership is to further digitalize production processes at Schaeffler and ultimately make them even more efficient and agile," according to an announcement published on Thursday (12 June 2025).

Automotive supplier Schaeffler: NVIDIA cooperation to accelerate digitalization of production

NVIDIA's business areas include the development of graphics processors and artificial intelligence. The company was founded in 1993 and is headquartered in Santa Clara, California. "In the NVIDIA Omniverse, Schaeffler maps all elements of its production, which are integrated and simulated there as digital twins," reports the automotive and industrial supplier. The aim is to integrate at least half of all plants into the Omniverse by 2030.

"Schaeffler is consistently and resolutely driving forward the digitalization of its plants," Andreas Schick, Chief Production, Supply Chain Management and Purchasing Officer at Schaeffler AG, is quoted as saying in the company press release. In order to shape the production of the future, strong partners are needed. "Together, we will create a digital ecosystem for our more than 100 plants that will revolutionize production processes in the long term. The Omniverse and the use of digital twins will make our value chains more efficient and agile," said Schick.

Schaeffler wants to use the American technology company's platform to develop digital images of factories and machines. Employees can use AI-supported solutions to simulate and optimize the physical properties of materials, processes and production sequences. The so-called Omniverse also enables the flexible use of future technologies such as humanoid robots in the production environment. "In the Omniverse, complex, fully automated assembly processes such as the application of sealing elements can also be improved using AI," says the company from Herzogenaurach.

Before actual implementation: Schaeffler expects success through simulated manufacturing processes

According to the company, real-time simulations also allow adjustments to be made during the product life cycle. "For global manufacturing companies, a simulation-based, AI-driven approach is critical to driving efficiency, innovation and competitive advantage," says Rev Lebaredian, Head of Omniverse and Simulation Technology at NVIDIA, in the press release.

"Our collaboration will enable Schaeffler to simulate and optimize manufacturing and automation processes before they are implemented in the real world - for more innovative power at lower costs," Lebaredian says in promoting the cooperation. Roberto Henkel, Head of Operations Digitalization & IT at Schaeffler, also expresses his satisfaction.

"The technology cooperation with NVIDIA enables realistic, high-performance mapping of digital twins and physical AI. Schaeffler's goal is to play a key role in shaping the development of an industrial metaverse for the manufacturing industry together with NVIDIA. We are contributing our decades of knowledge in the field of manufacturing and vertical integration to the further development of the Omniverse," states Henkel with regard to Schaeffler's new technology cooperation.

https://www.infranken.de/lk/erlangenhoechstadt/schaeffler-kuendigt-kooperation-an-alle-werke-des-autozulieferers-betroffen-art-6227304

$NVDA (-0,33 %)
$LIN (+0 %)

Hello my dears,

Over the last few weeks, I've been seeing again and again that some of you are investing in quantum computing. Among them are some companies that are unprofitable and highly valued.

That's why I'm posting a report from May here again. With the question

"Isn't Nvidia the better investment in quantum computing" ?

I also find it interesting that Linde is now making money from AI and data centers.

Nvidia is about to invest in the quantum computing startup PsiQuantum. This is part of a larger strategy by Nvidia to position itself in acceleration technologies, including an earlier investment in the company SandboxAQ. PsiQuantum relies on conventional semiconductor fabrication techniques for its photonic quantum processors, which is attractive to Nvidia as it is well versed in this area.

Nvidia's investment in PsiQuantum could signal a strategic shift towards quantum computing as PsiQuantum shows progress in developing a viable system. PsiQuantum has reportedly achieved ultra-low-loss silicon nitride waveguides, a major milestone in photonic quantum computing technology. The company is also building two data center-sized quantum computing centers in Brisbane, Australia, and Chicago, Illinois.

Nvidia's investment in PsiQuantum follows an earlier minority investment in SandboxAQ, a quantum-inspired software spin-out company. This indicates a broader intention to influence the next generation of computing infrastructure. Nvidia's investment in PsiQuantum is seen as a strategic move to secure an early claim on acceleration technologies.

Scalable thanks to conventional cryogenic systems

"Our QPUs can operate at temperatures 100 times higher than QPUs that need to be cooled to cryogenic temperatures," says Prof. Jeremy O'Brien, CEO and co-founder of PsiQuantum. This is why conventional cooling systems available on the market are sufficient for photonic QPUs. For example, PsiQuantum recently partnered with Linde to create the cooling system for the quantum computer currently under construction in Brisbane. Linde has installed more than 500 cryogenic systems worldwide for critical applications in the semiconductor industry, fusion research and particle physics. O'Brien sees the fact that such conventional cooling systems are sufficient for the PsiQuantum quantum computer as a key factor in being able to realize a fault-tolerant quantum computer with even millions of qubits in the foreseeable future.

https://www.manager-magazin.de/unternehmen/tech/nvidia-investition-in-quantencomputer-start-up-psiquantum-geplant-a-17158fb6-e6af-4cc8-9c12-13157b78a42b

https://www.elektroniknet.de/halbleiter/nvidia-investiert-in-quantencomputer.225263.html

$AIXA (+2,85 %)
$IFX (+1,66 %)
$NVDA (-0,33 %)

Hello my dears,

How do you classify the DZ-Bank report?

And is Aixtron with a P/E ratio of 19 and a PEG of +0.80 even a hidden AI pearl?

Profit growth of almost 30% at such a P/E ratio is rare.

In addition, there is a dividend yield which will rise to 2.65% by 2027.

(Dear all, I remain invested, so this is only my personal opinion and not investment advice)

Aixtron, a leading supplier of deposition equipment for semiconductors, is positioning itself as a key beneficiary of the rising demand for gallium nitride (GaN) chips. These energy-efficient semiconductors are on the verge of a breakthrough in data centers and will drive the GaN market significantly in the coming years. In particular, the strategic cooperation between Infineon and NVIDIA in the development of new power supply solutions for AI data centers should provide Aixtron with strong impetus in the medium term and establish the company as an indispensable partner in the digital transformation.

Technology leader in GaN production systems

Aixtron is the global leader in epitaxy systems. These are machines that are used to apply ultra-thin crystal layers to semiconductor substrates. A market share of around 90 % for epitaxy tools for GaN on silicon speaks for itself. Aixtron sets the pace in this specialty segment. The core products in the portfolio are the MOCVD systems ("Metal Organic Chemical Vapor Deposition"), including systems such as the G10-GaN or the AIX G5+ C, which were developed specifically for the production of GaN-based power semiconductors. These systems make it possible to apply particularly uniform and high-performance GaN layers to wafers, which is a decisive step towards the mass production of efficient chips. The G10 GaN system is characterized in particular by its scalability, high productivity and reproducibility. According to Aixtron, the G10 GaN systems also enable higher production volumes at a lower cost per wafer, improve the energy efficiency of the components and allow a more uniform layer quality. These advantages are crucial to meet the high demands placed on components in modern AI data centers and power supply solutions.

The GaN market: explosive growth through energy efficiency

The global GaN market is poised for a period of explosive growth as GaN chips replace traditional silicon-based semiconductors in an increasing number of applications. This growth is fueled by several factors, including the increasing adoption of 5G technology, electric vehicles, renewable energy and, last but not least, the rapid expansion of data centers. The AI boom, with models requiring trillions of computing operations per second, is causing power consumption in data centers to explode. In data centers, where energy consumption is a key cost and environmental factor, GaN chips are on the verge of a breakthrough in board and rack-level architecture. Their properties, such as higher switching frequencies, lower energy losses during power conversion and significantly lower waste heat, make them the ideal choice for high-performance yet energy-efficient power supply solutions. These advantages not only lead to significant power savings in cooling, but also to more compact designs, which makes optimal use of the limited space in data centers. The transition to GaN-based power supplies in data centers is seen as a megatrend that will significantly shape the GaN market in the coming years and will directly benefit Aixtron as a supplier.

Infineon-NVIDIA cooperation makes Aixtron a future AI beneficiary

The recent collaboration between Infineon and NVIDIA in the area of next-generation power solutions for AI data centers represents a strategic milestone from which Aixtron should benefit significantly in the medium term. This partnership aims to dramatically improve energy efficiency in AI data centers. At the heart of this development is the expected use of GaN power semiconductors as the standard for high-voltage DC-DC converters. The transition to 800 V HVDC architecture, which Infineon and NVIDIA are planning, is a key enabler of this development. This new power supply is to be introduced on a larger scale from 2027, with the partners explicitly emphasizing the need for energy-efficient power distribution. This is where the advantages of GaN chips over conventional silicon semiconductors come into their own. GaN enables significantly higher switching frequencies and therefore less energy loss during current conversion. This leads to less waste heat, which in turn means massive power savings in data center cooling. As Aixtron supplies the necessary deposition equipment for the production of these high-performance GaN chips, the company is directly involved in the value chain of this pioneering technology. Any expansion of GaN production by Infineon or other semiconductor manufacturers inspired by this cooperation will generate direct demand for Aixtron equipment and secure the company a central role in the evolution of AI infrastructure.

2025 is a transition year. The next growth phase should start in 2026!

Aixtron is currently experiencing a cyclical weakness because, among other things, SiC chip manufacturers are investing less due to the slower transition to electric cars. Nevertheless, the company managed to increase incoming orders by 10% to EUR 132.2 million in the first quarter. The order backlog of EUR 307.9 million represents a solid basis for the annual targets, which include sales of EUR 530 to 600 million with an EBIT margin of 18 to 22%. "With the ability to now process 300mm GaN wafers ourselves in the innovation center, we can support our customers even better in the future transition to the next wafer size," says Aixtron. As a result, the company believes it is well positioned for the next growth phase, which should start in 2026. The P/E ratio26e of 14.4 is favorable for the start of a new upswing.

http://www.dzbank-wertpapiere.de/Magazin/aktien_trading/aixtron-ein-kuenftiger-stern-am-ki-himmel-was-dafuer-spricht-newse052fe5a3f1bda2c885e9a468d5172fff8c0a12d

🚀 $NVDA (-0,33 %)
$DTE (+1,95 %)
$SIE (+0,26 %)
$IOS (+0 %)
$SHA0 (-0,71 %)

Germany is lagging behind in AI development. Together with Deutsche Telekom, the US company Nvidia wants to set up an AI data center. CEO Huang promised at the meeting with Chancellor Merz that it would be specifically geared towards the needs of local industry.

(13.06.2025, 14:10)

Deutsche Telekom is building an AI data center for European industry in Germany in collaboration with chip manufacturer Nvidia. "We must seize the opportunities offered by artificial intelligence (AI), revolutionize our industry and secure a leading position in the global technology competition," said Deutsche Telekom CEO Tim Höttges (62) on Friday. "Our economic success depends on quick decisions and collaborative innovation."

The project paves the way for the planned AI gigafactories. Five of these particularly powerful data centers are to be built in the European Union (EU). A few weeks ago, it was announced that Deutsche Telekom, together with SAP, the web host and cloud provider Ionos, wanted to bid for the construction of such a facility.

Schaeffler and Siemens also intensify cooperation

Nvidia will reportedly supply at least 10,000 AI processors from the currently most powerful "Blackwell" series for the announced industrial AI cloud. The additional computing power should be ready for use in 2026. "This infrastructure will not only be available to the market for industrial applications, but will also be specifically made accessible to start-ups and research institutions," Telekom emphasized.

On Thursday, automotive supplier Schaeffler announced an in-depth cooperation with Nvidia; with the help of Nvidia, Schaeffler intends to map all elements of its production, which will be integrated and simulated as digital twins.

Siemens is also intensifying its cooperation with Nvidia. The main aim is to make factories more efficient with digital solutions. The factories are recreated on the computer and then specifically optimized in the real world. "Together, Siemens and NVIDIA are enabling companies from all industries to fully exploit the scalable potential of AI in the physical world," said Siemens CEO Roland Busch (60).

"In the age of AI, every manufacturer needs two factories: one to make things and one to create the intelligence that powers them," said Nvidia CEO Jensen Huang (62), according to the Telekom press release.

Nvidia boss Huang meets Friedrich Merz

Huang met with German Chancellor Friedrich Merz (69) on Friday to discuss cooperation in building a sovereign AI infrastructure. The US company will work with partners to build data centers specifically tailored to the needs of German industry, the German government subsequently announced.

According to the consulting firm Deloitte, Germany must invest up to 60 billion euros in the expansion of AI data centers over the next five years and triple its domestic computing capacity in order to remain economically competitive and maintain its technological sovereignty.

However, the construction costs for new facilities would be significantly higher than in other European countries. "In addition, electricity prices in Germany are almost twice as high as in the USA, and they account for up to 60 percent of the total operating costs of a data center."

https://www.manager-magazin.de/unternehmen/tech/deutsche-telekom-baut-mit-nvidia-industrielle-ki-cloud-a-c2a0a08e-e7e0-4396-b968-3a0d4661e044

The US chip developer $AMD (+0,5 %) has presented its new high-performance processors for applications in the field of artificial intelligence (AI). The next stage of development was also announced at the same time. The Group wants to use this to $NVDA (-0,33 %) serious competition.

At the "Advancing AI" developer conference on Thursday, AMD CEO Lisa Su presented the MI350 and MI355 chips. Facebook parent company Meta and xAI, Tesla CEO Elon Musk's AI company, are already using the MI350 in their data centers.

AMD boss believes in strong growth in the AI market

Su also provided an outlook on AMD's MI400 AI chip, which is due to be launched on the market next year. This chip is intended to take market share away from Nvidia's current state-of-the-art processors from the Blackwell series. Nvidia currently dominates an estimated 80 percent of the AI market.

Source: www.ecoreporter.de