Hi everyone,

I often read posts here where people ask for feedback, but the story behind them is missing. That’s why today I’d like to share my own portfolio—and my story—in a completely transparent way.

A little about me:

I’m 31 years old and have been active on GQ for quite some time. My current net worth of just under 1.28 million euros is the result of my own hard work. Even as a child, I would occasionally try out potentially profitable business ideas on the side to earn some money—and six years ago, I took the plunge into self-employment.

I now have two companies in different industries. It became clear to me quite early on that I needed a high, recurring active income if I wanted to build up a certain level of wealth, so I left my full-time job fairly early on.

For the next 12 months, I’m planning on a monthly income of approximately 30,000 euros. In addition, I naturally have recurring income, which can fluctuate up or down over the long term.

My goal is to continue growing this wealth prudently so that I can eventually live entirely off the dividends. Currently, for tax reasons, I hold portions of two stocks ($MSFT (+3,85 %) and $NOVO B (+0,28 %) ) are held as individual positions in my holding account, and the rest is held in my personal account.

My Strategy and the Core of the Portfolio

I follow a classic core-satellite approach. The core—which I intend to use later as a kind of pension substitute—consists of two ETFs: the $HMWO (+0,39 %) and the $QQQ. (+0,28 %) I’m aware that these two holdings overlap; I continue to contribute to both monthly via a savings plan.

The individual stocks and my problem children

When it comes to individual stocks, I look for a combination of long-term trends and reliable cash flow. On the one hand, I deliberately overweight tech stocks and future classics such as $MSFT (+3,85 %) , $GOOGL (+0,58 %) , $NVDA (+0,4 %) , $META (-3,45 %) , $AMZN (+0,13 %) and $AAPL (+1,52 %) , because I am firmly convinced that these industries will continue to perform well in the coming years.

For my dividend strategy and the necessary cash flow, I’ve invested in quality stocks such as $ALV (+1,32 %) , $MUV2, $NOVO B (+0,28 %) and $UNH (+0,49 %) in my portfolio. This is complemented by classic dividend-paying stocks such as $BATS (-0,92 %) , $SIE (+1,49 %) , $ARCC (+0,07 %) and $O (-0,06 %).

But let’s be honest: values like $MPW (+0,03 %)
$PYPL (+5,58 %) , $BAYN (+1,31 %) or gambling $LILM aren’t performing at all as once hoped.

In the crypto sector, $BTC (-0,02 %) as the largest holding, along with a small amount of $SOL (-0,08 %) and $XRP (+0,41 %) the whole thing—in the future, I’ll consolidate everything into the position $BTC (-0,02 %) and add a little $4GLD (-0 %) to it.

What’s Next

At the end of this month, I’m expecting a large incoming payment of around 50,000 euros. I’d like to split the amount and invest it both in the $HMWO (+0,39 %) as well as specifically into my dividend stocks to further strengthen the foundation.

The goal is to reach a portfolio value of 1.5 million by the end of the year.

Feel free to share your thoughts—I look forward to the discussion :-)

Now it's my turn: I unexpectedly and with great momentum broke the 100k€ mark! It was a long journey—6 years—and I hope the next 6 won't take as long.

My PORTFOLIO 2036

Hello, everyone,

I often post my new purchases for my Portfolio 2036 here. To some, it might look like I’m buying stocks here without any rhyme or reason.

But you shouldn’t just see my portfolio as a collection of stocks—rather, as a complete technological ecosystem centered around AI, Physical AI and humanoid robotics.

That’s why today I’d like to try to explain my way of thinking to you a little.

Of course, my portfolio doesn’t cover only this growth area, but in today’s presentation, I’d like to use the technology sector to illustrate a portion of my portfolio and the thinking behind it.

After all, this sector accounts for 50% of my portfolio.

My friends,

I hope you enjoy this weekend reading, and please let me know in the comments if you liked it.

Here, I’m looking at several levels:

Sector

🧠 AI chips NVIDIA

💾 HBM / Memory SK Hynix, Micron

💽 NAND / SSD Kioxia

🤖
Semiconductors / Mixed-Signal & Embedded Systems STMicro

🔬 Chip Testing Advantest

🔌 Power Supply Vicor, Vistra

❄️ Data Center Vertiv, IES Holding

🏢Hyperscaler data centers Itochu

⚡ Decentralized Energy Generac

🌐 PHOTONICS / OPTICAL DATA TRANSMISSION Lumentum

🌐 Fiber Optics Fujikura

🤖 Physical AI / Robotics Kawasaki

🏭 Electronics Manufacturing Kitron, AT&S

🕐 Precision/Timing Frequency Electronic

🧑‍💻 AI Applications Innodata, GFT

🔐 Cybersecurity/Identity Wallix

This is much more diversified than it appears at first glance.

While I do place a strong emphasis on AI and technology—within this megatrend, I focus on very different stages of the value chain.

My 2036 vision would therefore look more like this now:

Phase 1:

AI Training → NVIDIA / HBM / Micron / SK Hynix

Phase 2:

AI Inference → Kioxia / SSD / Networking / Fujikura

Phase 3:

AI Infrastructure → Vertiv / Vicor / Generac / AT&S

Phase 4:

Physical AI → Kawasaki / Advantest / Robotics / Sensors

Phase 5:

AI in the Enterprise → Innodata / GFT / Wallix

And specifically Phases 3–5 could prove more decisive for the portfolio over the next ten years than today’s purely GPU-driven narrative.

That’s why, from a 10-year perspective, I would by no means view Japan as a side bet. On the contrary: Kioxia, Fujikura, and Kawasaki give my portfolio three different long-term options in memory, connectivity, and physical AI.

(@PikaPika0105 )

If these theories pan out, my portfolio could look significantly different in 2036 than it does today—and some of the smaller positions today, in particular, could then have become disproportionately important.

🇯🇵 Kioxia – Memory Is Becoming an AI Infrastructure Theme

Kioxia is an excellent fit alongside Micron and SK Hynix because it covers another aspect of the memory boom: NAND/Flash and SSDs.

The company is now explicitly positioning itself for the next phase of AI: After training comes, increasingly, inference, and Kioxia sees rapidly rising storage demands, particularly in agent-based and physical AI.

Especially interesting for my 10-year horizon:

AI → more data → more storage → more SSDs → more flash capacity.

And Kioxia continues to invest heavily: Together with SanDisk, investments totaling over $31 billion in Japan , including an expansion of 3D flash production.

To me, this is an important addition to my existing semiconductor thesis.

https://www.kioxia-holdings.com/en-jp/news/2026/20260602-1.html?utm_source=chatgpt.com

🔵 Fujikura – perhaps one of the most underrated AI infrastructure plays

Why do I hold a position in Fujikura?

Because as data centers continue to grow larger, data must must be transmitted at extremely high speeds within and between data centers.

And that requires fiber optics.

In March 2026, Fujikura announced plans to invest up to 300 billion yen in additional capacity for fiber optics and optical cables in Japan and the U.S. The goal is to eventually triple production capacity.

In May, among other things, a new plant was opened in Sakura with an 40 billion yen ; production is scheduled to begin in late 2030

https://prtimes.jp/main/html/rd/p/000000182.000056990.html?utm_source=chatgpt.com

In May, among other things, a decision was made to build a new plant in Sakura with an investment of approximately 40 billion yen in investment ; production is scheduled to begin in late 2030.

This fits extremely well into my portfolio:

NVIDIA → Data Center → Vertiv → Vicor → Fujikura → Kioxia

This means I not only own the chips, but also an increasing number of companies in the infrastructure needed for the chips to function at all.

🤖 Kawasaki – this is where things get really exciting in the long term

With Kawasaki, I see a completely different option:

Physical AI + Robotics.

And in 2026, something actually developed here that makes the question of robotics at Kawasaki very interesting.

In May, Kawasaki opened Silicon Valley and is collaborating there with companies including NVIDIA, Microsoft, Analog Devices, and Fujitsu. https://global.kawasaki.com/en/corp/newsroom/news/detail/?f=20260522_8524&utm_source=chatgpt.com

This was followed in July by a partnership with Fujitsu to implement Physical AI in the healthcare sector —for example, autonomous robots for transporting medications and samples in hospitals. https://global.kawasaki.com/en/corp/newsroom/news/detail/?f=20260716_2992&utm_source=chatgpt.com

And the key point:

Kawasaki doesn’t just want to treat Physical AI as a research topic, but explicitly wants to bring it into real-world applications—factories, logistics, hospitals, construction, agriculture, and so on. https://global.kawasaki.com/en/corp/newsroom/news/detail/?f=20260716_2992&utm_source=chatgpt.com

That makes Kawasaki, in my view, an interesting player in the second wave of AI:

🏢 ITOCHU

ITOCHU is now explicitly positioning itself in the hyperscale data center sector as a growth area and investing in the corresponding real estate and infrastructure chain.

https://www.itochu.co.jp/en/business/general/project/12.html?utm_source=chatgpt.com

Even more interesting: ITOCHU cites “Capturing rapidly growing power demand from AI and data centers” as an explicit investment theme. At the same time, the group is expanding its own AI and data capabilities through a Global Tech Center.

ITOCHU

• Hyperscaler Data Centers
• Data Center Real Estate
• Power Supply for AI Data Centers
• Financing & Investment
• Network of Technology Companies

This even results in a rather nice “humanoid system” from my portfolio:

🧠 Brain / AI chips

NVIDIA

💾 Memory

Kioxia, Micron, SK Hynix

🤖 Senses + Motor Skills + Edge AI

ST Microelectronics

👁️ Senses / Sensors

Kawasaki + others

🕐 Nervous System / Timing

Frequency Electronics

🕐 Nervous System Lumentum

🌐 Data Cables

Fujikura

🔬 Quality Control

Advantest

⚡ Power Supply

Vicor, Generac

⚡ Energy Vistra Corp.

🏢 Data Center

ITOCHU, Vertiv

🦾 Body / Robotics

Kawasaki

🏭 Manufacturing & System Integration

Celestica

🏭 Manufacturing / Electronics

Kitron, AT&S

🔐 Identity / Security

Wallix

🤖 AI Applications

Innodata, GFT

And ITOCHU is particularly interestingbecause the company serves as a sort of bridge between several sectors: data centers, energy, real estate, technology, and finance. This also aligns with ITOCHU’s business model, which is based on corporate investments and trading.

🤖 STMicroelectronics = Sensors + Motor Control + Edge AI

I would place ST in a humanoid directly on the head, arms, and joints .

ST itself now lists more than 500 componentsfor humanoids, including MEMS sensors, microcontrollers, motor drivers, power management, and edge AI. Of particular interest are 3D depth sensors, motion/acceleration sensors, and local AI processing.

This means that, for my thesis, ST is not just a traditional semiconductor stock:

ST → Perception → Processing → Motion

🔧 STMicro = “Sensor Technology + Embedded Intelligence + Motor Control”

The key areas are:

• 👁️ Sensors – MEMS, motion, pressure, environmental, and ToF sensors
• 🧠 Microcontrollers & Embedded Processing – STM32 and other MCUs
• ⚡ Power Semiconductors – SiC, Power Management
• 🦾 Motor Control – Control of electric motors and actuators
• 🤖 Edge AI – AI processing directly on the device
• 🚗 Automotive – Very broad range of applications
• 🏭 Industrial – Automation, robotics, and industrial electronics

STMicroelectronics describes its business as a combination of analog, digital, power, and MEMS/sensing.

🌐 Lumentum = optical nervous system

I would describe Lumentum as between the head/data center and the entire body .

Among other things, the company supplies lasers, optical transceivers, and optical circuit switching for AI clusters. Especially with AI data centers getting larger and larger, the optical connection between GPUs, memory, and racks is becoming increasingly important.

https://www.lumentum.com/en/products/data-center?utm_source=chatgpt.com

This is particularly interesting for my portfolio because Lumentum thus covers a different segment than Fujikura:

• Fujikura → fiber optics/cable infrastructure
• 
  Lumentum → optical components/lasers/switching
• 
  NVIDIA → computing power
• 
  Kioxia/Micron/SK Hynix → Storage
• 
  Vertiv/Vicor → Power & cooling

Lumentum itself views 1.6T optics and CPO as important next steps in the development of AI networks.

🏭 Celestica = “Fabrication & System Integration”

In my model, Celestica is essentially the “system integrator” for the AI data center: The company integrates networking, storage, rack integration, power, and cooling. Particularly exciting are the 800G/1.6T networks and the collaboration with AMD on the Helios Rackscale AI platform.

https://www.celestica.com/blog/article/engineering-the-future-of-ai-infrastructure-at-ocp-apac-2026?utm_source=chatgpt.com

For our humanoid, I would therefore describe Celestica as follows:

🏭 Celestica = “Physical Structure & System Integration”

• AI servers/racks → connects the individual components
• Networking → High-speed connections within the AI cluster
• Storage → Data supply to the GPUs
• Power & Cooling → Rack-level integration
• Manufacturing → Builds systems on a large scale
• 1.6T Networking → Infrastructure for the next generation of AI

Particularly interesting for my 10-year thesis: Celestica also has a CPO program with a hyperscaler , with production scheduled to begin in 2027. This means Celestica even overlaps with my Lumentum/Fujikura optics thesis.

Hello, everyone,

In my last post, I explained my investment strategy for the 2036 portfolio, focusing on technology and humanoids.

Today, I’ll explain exactly why I’m invested 50% in this sector—and which other sectors I have equally high expectations for.

I’ll try to explain this using the investment wave .

INVESTMENT WAVE 2036

The technologies of tomorrow aren’t just emerging tomorrow.

They’re being built today.

Data centers.

Semiconductor factories.

Power grids.

Energy storage.

Robotics.

Photonics.

Water infrastructure.

Strategic raw materials.

Today’s investments are tomorrow’s technologies.

And that’s exactly where we want to invest:

Not just in the finished products—

but in the infrastructure, components, raw materials, and technologiesthat make their development possible in the first place.

Depot 2036—investing before the future comes into view.

If we apply this to my investment horizon, which extends to around 2036 , I wouldn’t just look at individual sectors, but at the major structural waves of investment. I find these areas particularly interesting:

Sector

Growth Drivers

2036 Potential

🤖 Robotics & Physical AI

Humanoids, industrial/logistics robots, autonomous systems

🔥🔥🔥🔥🔥

🧠 AI & Data Centers

AI models, inference, cloud, agents

🔥🔥🔥🔥🔥

⚡ Power Grids & Energy Infrastructure

Data centers, electrification, grid expansion

🔥🔥🔥🔥🔥

🔬 Semiconductors & Semiconductor Equipment

AI, Robotics, Autos, Industry

🔥🔥🔥🔥🔥

🌐 Photonics / Optical Communications

Data transmission within and between data centers

🔥🔥🔥🔥🔥

🛡️ Cybersecurity & Digital Identity

AI agents, cloud, increasing attacks

🔥🔥🔥🔥

🧬 Biotech / Innovative Pharmaceuticals

New mechanisms of action, precision medicine

🔥🔥🔥🔥

🛰️ Autonomous Systems / Defense Tech

Drones, Sensors, Navigation, Electronic Systems

🔥🔥🔥🔥

🔋 Energy Storage

Grid expansion, renewable energy, data centers

🔥🔥🔥🔥

🏭 Industrial Automation

Skilled Labor Shortage, Productivity, Reshoring

🔥🔥🔥🔥

🔩 Strategic Raw Materials

Growing demand, but at the same time significant concerns about supply

🔥🔥🔥🔥

💧 Water / Wastewater

Applications range from semiconductor factories to batteries and

specialty metals to power plants and data centers.

🔥🔥🔥🔥

The most important connection for me

I would even view these topics view them as a single, large investment chain :

AI

→ requires data centers

→ require chips

→ require Photonics

→ require an enormous amount of electricity

→ require grids & storage

→ and more and more automation/robotics.

And that’s exactly why my portfolio is structured this way: I’ve already covered many of these sectors.

🦾 Particularly exciting: Robotics + AI

In my opinion, Physical AI could become one of the next major expansions of the AI wave.

Today:

AI → Software → Screen

Tomorrow, increasingly:

AI → Robots → Real World

Then companies will become interesting—not necessarily those that build humanoid robots themselves, but rather motors, sensors, cameras, semiconductors, control systems, power supplies, communication chips, and manufacturing electronics .

For example, in my portfolio I currently hold I hold Advantest, STMicroelectronics, Lumentum, Kitron, Celestica, and Vicor in various parts of the value chain.

⚡ And one area is, in my opinion, often underestimated: electricity

The AI boom is generating a somewhat unusual second boom:

more AI

→ more computing power

→ more data centers

→ more electricity consumption

→ more generators

→ more storage

→ more grid technology

→ more power electronics.

That’s why you’ll find, for example, Generac, Vertiv, and Vicor in my portfolio—not just as individual companies, but as parts of this overarching trend.

🔬 My long-term “growth pyramid”

When I look at my portfolio from this perspective, I’ve structured it roughly as follows:

1. AI / Computing Power

Nvidia · Micron · SK Hynix · Advantest

2. Photonics / Data Transmission

Lumentum · Celestica

3. Energy for AI Infrastructure

Vertiv · Vicor · Generac · Siemens

4. Robotics / Physical AI

Kitron · Advantest · STMicroelectronics · Celestica

5. Cybersecurity / Digital Identity

Wallix

6. Biotech / New Drugs

Mirum · Corcept · Krystal · Camurus · Gilead ·

7. Commodities

Alkane Resources · K92 · Almonthy ·

8. Emissions Control, Filtration, Water Treatment, Fluid Handling, and Acoustic Solutions.

CECO

9.
Autonomous Systems / Defense Tech

Vincorion · TransDigm · Frequency Electronics

My commodity stocks:

Stock

Commodity Exposure

My Outlook for 2036

Alkane Resources

🥇 Gold + Copper + Antimony

⭐⭐⭐⭐⭐

K92 Mining

Gold

⭐⭐⭐⭐

Almonty Industries

Tungsten

⭐⭐⭐⭐⭐

Osaka Titanium Technologies

Titanium

⭐⭐⭐⭐

🥇 I find alkanes particularly interesting

When it comes to alkanes , you get several resource themes at once:

Gold → monetary/geopolitical hedging

Antimony → strategic/defense-related raw material

Copper → Electrification, power grids, data centers, robotics

And especially copper is an excellent fit for the rest of my portfolio.

S&P Global, for example, expects that demand for copper from data centers alone will rise from approximately 1.1 million metric tons in 2025 to 2.5 million metric tons in 2040 . At the same time, the IEA emphasizes that copper is one of the more problematic critical minerals when it comes to supply security.

For Alkane, this means:

AI → data center → electricity → copper → Alkane/Boda-Kaiser

This is a very interesting connection to my previous portfolio thesis.

🥈 Almonty – also very exciting to me

Almonty is not a traditional copper/gold stock, but rather tungsten.

And I view tungsten as an interesting strategic commodity for the long term because it’s used, among other things, in hard metals, tooling, industrial applications, and defense .

This gives my portfolio a different kind of commodity exposure than alkanes do.

Alkane = Gold/Copper/Antimony

Almonty = Tungsten

This diversifies my commodities portfolio quite well.

🥉 K92 Mining

K92 is essentially my gold component.

It’s less directly tied to my AI/robotics growth story, but gold can serve a different purpose in the portfolio. The World Gold Council continues to expect strong investment demand and sustained central bank purchases through 2026; at the same time, mining supply responds only relatively slowly to high prices.

I would therefore view K92 more as a gold/commodity and diversification component than as a beneficiary of AI.

And then there’s Osaka Titanium

I find that quite interesting because titanium represents a completely different growth trajectory :

Aviation + High-Tech + Defense + Industrial Applications

This gives me a strategic material in addition to energy and electrification raw materials.

This covers several structural themes:

🖥️ AI

↓

⚡ Electricity & Grids

↓

🟠 Copper

↓

🏭 Industry / Robotics

↓

🛡️ Defense

↓

🔩 Strategic raw materials

And that’s exactly why I don’t see raw materials in my 2036 portfolio as anything less than a priority . In some cases, they even form the “bottom layer” of my entire future-technology thesis.

I find the combination of Alkane + Almonty + Osaka Titanium particularly interesting, because with this combination I’m not making the same commodity bet three times over, but rather combining copper/gold/antimony + tungsten + titanium .

💧 Water / Wastewater

Among other things, CECO provides emissions control, filtration, water treatment, fluid handling, and acoustic solutions. Applications range from semiconductor factories to batteries and specialty metals to power plants and data centers.

Of particular interest: data centers

This is where I see the connection to my Depot-2036 particularly clearly.

In 2025, CECO received an order worth over $135 million for a large natural gas power plant in Texas that supports the expansion of data centers. The company explicitly identifies data centers as an attractive growth market.

https://investors.cecoenviro.com/news-releases/news-release-details/ceco-environmental-secures-record-order-exceeding-135-million?utm_source=chatgpt.com

🔩 And now the connection to my commodity stocks

This is where CECO becomes even more interesting to me.

For example, I hold:

Alkanes → Copper / Gold / Antimony

Almonty → Tungsten

Osaka Titanium → Titanium

These companies supply materials.

CECO, on the other hand, is one step further up the industrial value chain:

Raw materials → Processing → Factory → Environmental/water/emissions systems → End product

According to its own reports, CECO serves, among others, specialty metals as well as aluminum and steel production and other energy-intensive industries.

This means that if, between 2030 and 2036, there are more semiconductor factories, data centers, power plants, battery facilities, and metal processing plants are built worldwide, we will not only need chips and raw materials—we will also need the infrastructure to ensure these facilities are permitted and able to operate at all.

This would make CECO in my portfolio a sort of bridge company between AI, energy, industry, and raw materials.

And it’s precisely these kinds of companies that I find interesting for a 2036 portfolio: not the obvious winner of the trend, but a supplier that can benefit from several waves of investment at the same time.

🛰️ Autonomous Systems / Defense Tech
/ Aerospace

Portfolio holdings:

Vincorion - ⚡ Power, propulsion, and stabilization for military platforms

TransDigm - ✈️ Highly specialized aerospace and defense components

Kawasaki - 🤖 Robotics + autonomous systems + aerospace/defense

Kitron - 🔌 Electronics / System Integration / Autonomous Systems

Frequency - 📡 Precision time and frequency technology for critical systems

Gilat - 🛰️ Space / Connectivity / Satellite Communications

Vincorion is particularly interesting in this regard

Vincorion is not just a traditional defense supplier. The company develops energy and mechatronics systems for defense platforms, including power supplies, propulsion systems, and stabilization systems. These systems are used, for example, in the Leopard 2, Puma, and Boxer.

Even more exciting for my autonomous vehicle thesis: Vincorion is working on mobile energy systems that can also power drones and unmanned ground vehicles . At the 2026 Eurosatory exhibition, for example, power systems were showcased alongside an unmanned ground vehicle.

And the company’s operational performance is currently remarkable: In the first half of 2026, revenue rose by 42.4%, and order intake rose to €330.2 million , and the order backlog to approximately €1.2 billion. Vehicle Systems (+72%) and Power Systems (+41.1%) posted particularly strong growth.

https://vincorion.com/vincorion-steigert-umsatz-und-ergebnis/?utm_source=chatgpt.com

TransDigm is a little different

At TransDigm , I see less of a direct “autonomy” story and more of:

Aerospace + Defense + highly specialized components + long-term platform commitment.

TransDigm develops and manufactures a very wide range of components and subsystems for military and civilian aircraft—from actuators and control systems to pumps, valves, avionics, and safety systems. According to the company, there is at least one TransDigm product on nearly every commercial or military aircraft in service.

This makes TransDigm, in my view, more of an aerospace/defense compounder within the infrastructure chain, whereas Vincorion is more strongly focused on the energy, mechatronics, and platform sectors .

🧬 My Biotech/Healthcare Stocks

Company

2036 Thesis

Opportunity

Main Risk

Krystal Biotech

Gene therapy platform → multiple products

🚀🚀🚀🚀🚀

Clinical failures / Pipeline

Mirum Pharma

Rare Diseases → multiple indications

🚀🚀🚀🚀🚀

Focus on a few active ingredients

Corcept

Cortisol platform + oncology

🚀🚀🚀🚀

Approval / Pipeline / Valuation

Camurus

Long-acting drug delivery + proprietary drugs

🚀🚀🚀🚀

Competition / PipelineG

Gilead

HIV + Oncology + Cell Therapy + Additional Pipeline

🚀🚀🚀

1. 🥇 Krystal – in my view, the strongest “platform bet”

I see a unique feature here that will be key for 2036 .

With VYJUVEK and is building a pipeline of genetic drugs based on it. In Q2 2026, VYJUVEK revenue totaled $119.2 million; at the same time, the company had approximately $1.1 billion in cash and investments. Several other programs are expected to deliver clinical data in 2026.

So the key question is not just:

“How big can VYJUVEK get?”

but rather:

“Can Krystal adapt its gene therapy platform to treat multiple diseases?”

If that works, the investment story changes fundamentally.

2036:

VYJUVEK → additional gene therapies → multiple indications → platform company

That is exactly the kind of scalable technologythat fits my “Today’s investments → Tomorrow’s technologies” thesis.

2. 🧬 Mirum—perhaps the most underrated of my biotech holdings

I like Mirum for 2036 primarily because of the expansion of an existing platform.

LIVMARLI is already approved, and at the same time, Mirum is working on other rare liver diseases. The Phase 3 EXPAND trial has completed patient enrollment; topline data are expected in Q4 2026.

In addition, Volixibat and Brelovitug. At the 2026 EASL Congress, Mirum reported, among other things, positive data on these programs.

This results in:

existing drug

↓

additional indications

↓

new active ingredients

↓

Larger rare disease platform

To me, this is an attractive 2036 mechanism.

3. 🧪 Corcept – an extremely interesting development

Corcept is now much more than a single-product story.

In 2026, Lifyorli was added to its oncology portfolio. In the second quarter, Corcept generated $256.1 million in revenue (+32%), of which $47.6 million came from Lifyorli sales. The 2026 revenue forecast was raised to $1.1–1.2 billion .

And the pipeline is quite broad: it includes Cushing’s syndrome, various cancer indications, ALS, and MASH.

It’s also interesting that Corcept resubmitted the NDA for Relacorilant for Cushing’s syndrome in June 2026, after the FDA had requested additional analyses.

So here’s my take on CORT:

Cortisol research

→ Endocrinology

→ Oncology

→ Neurology

→ Metabolism

This is a rather interesting mechanism-of-action platform.

4. 💊 Camurus – a different approach

I wouldn’t primarily view Camurus in the 2036 portfolio as a “new drug per disease.”

What sets it apart is its drug delivery technology —that is, the ability to administer drugs in a way that maintains efficacy longer and is more patient-friendly.

This can be strategically interesting because the technology isn’t necessarily tied to a single active ingredient.

For me, Camurus is therefore more of a:

pharma + technology platform

rather than a traditional biotech bet.

5.🏛️ Gilead Established pharma/biotech core

Gilead brings something to my portfolio that smaller biotech companies don’t offer to the same extent:

cash flows + established drugs + a large research pipeline.

Gilead is particularly strong in HIV and viral hepatitis and is expanding its oncology division through cell therapy and other therapeutic agents. As a result, I view GILD in my 2036 portfolio more as a stabilizing pharmaceutical anchor, whereas Krystal, Mirum, and Corcept are more dependent on individual pipeline successes.

This gives me, within the healthcare sector, various technological approachesrather than betting five times on the same biotech play.

And when it comes to biotech, I’d always keep the downside in mind: A good platform does not protect against clinical failures. That’s precisely why the combination of already commercialized products (Krystal, Mirum, Corcept) and different mechanisms of action/technologies is relevant for risk assessment.

The exciting thing about this is: I don’t just own AI stocks. I also own parts of the infrastructure behind AI, robotics, and electrification.

If your goal is also 2036 , I would therefore focus less on the next “hot” individual trend and more on companies that can benefit from several of these growth chains at the same time.

My friends,

please let me know in the comments how you like my 2036 portfolio.

And feel free to share your strategy for the future as well.

And forgive us our heavy foot,

just as we forgive the Sunday drivers.

And lead us not into the green dream of 5 marks per liter,

but deliver us from the eco-tax, the CO2 tax, and Friedrich Schmerz.

Amen