30 High-Conviction Stocks & ETFs to Ride the Next Industrial Revolution

The Companies Building the Brains, Muscles and Nervous System of the Autonomous Economy

"Don't invest in the coolest robot. Invest in the companies that every robot depends on."

👋 Hey Wealth Builders,

Gold rushes create two kinds of investors.

The first group chases the shiny object.

The second quietly buys the businesses supplying every miner with shovels.

History suggests the second group often wins.

The California Gold Rush wasn't just about gold.

Levi Strauss sold jeans.

Samuel Brannan sold mining supplies.

Railroads transported miners.

Banks financed expansion.

Many became wealthier than the miners themselves.

Physical AI may follow the same pattern.

While everyone debates which humanoid robot will dominate...

I'm asking a different question.

That's where I want my portfolio to be.

🏗 My Physical AI Portfolio

Rather than betting everything on one exciting company, I build exposure across the entire ecosystem.

Think of it as building an ETF before Wall Street does.

⭐ My S-Tier Companies (The Compounders)

These are the companies I'd feel comfortable owning for the next decade if Physical AI continues expanding.

Notice something?

Only one company actually builds AI chips.

The rest build the infrastructure that enables AI.

That's intentional.

🚀 My A-Tier Growth Leaders

Excellent businesses with strong Physical AI exposure.

These may not dominate headlines...

But they quietly sell the equipment that factories cannot function without.

🌱 My B-Tier Opportunities

Higher upside...

Higher uncertainty.

These businesses could become much larger if Physical AI adoption accelerates.

🌍 Don't Forget the Global Winners

Physical AI isn't just an American story.

Innovation is becoming increasingly global.

Your portfolio should reflect that.

📈 Prefer ETFs?

You don't have to pick individual winners.

Here are some diversified options.

For many investors, combining one or two ETFs with a handful of high-conviction stocks may provide a better balance between simplicity and diversification.

⚠️ Five Types Of Companies I Would Avoid... For Now

Not because they're bad businesses.

Because they're speculative.

🚫 Companies with no meaningful revenue.

🚫 Businesses trading solely on robot demonstrations.

🚫 Firms with no commercial deployments.

🚫 Companies dependent on constant capital raises.

🚫 Businesses without a durable competitive moat.

Remember...

A great technology doesn't automatically make a great investment.

🎮 My Physical AI Tier List

🟢 S Tier (Core Holdings)

• NVIDIA
• TSMC
• Broadcom
• Siemens
• ABB
• Schneider Electric
• Eaton
• Rockwell Automation

🔵 A Tier (High Quality)

• Vertiv
• Fanuc
• Keyence
• Cognex
• Honeywell
• Emerson
• Amphenol
• Teradyne
• SMC
• Delta Electronics

🟡 B Tier (Higher Growth)

• Symbotic
• Deere
• Yaskawa
• KION
• Omron
• Advantech
• Hexagon

🔴 Watchlist (Private or Early Stage)

• Figure AI
• Genesis AI
• Agility Robotics
• Unitree Robotics
• Physical Intelligence
• Apptronik
• Sanctuary AI

These aren't investable for most retail investors today—but they may shape the industry's future or eventually become public companies.

💎 My 10 Highest-Conviction Ideas

If I had to narrow the universe to just ten companies, these would be my current favourites:

1. NVIDIA – The AI compute ecosystem leader.
2. TSMC – The indispensable chip manufacturer.
3. Broadcom – AI networking and custom silicon.
4. Siemens – Industrial software and factory automation.
5. ABB – Robotics and industrial automation.
6. Schneider Electric – Electrification and energy management.
7. Eaton – Grid modernization and power infrastructure.
8. Rockwell Automation – Smart manufacturing.
9. Vertiv – AI infrastructure power and cooling.
10. Cognex – Machine vision, giving robots the ability to "see."

This isn't because I believe they'll produce the highest returns every year. It's because they combine strong business models, durable competitive advantages and broad exposure to multiple Physical AI trends.

📋 Wealth Builder Checklist

Before investing, ask yourself:

• ✅ Does this company benefit regardless of which robot wins?
• ✅ Does it have recurring revenue?
• ✅ Does it own critical technology or infrastructure?
• ✅ Can it compound earnings for 10+ years?
• ✅ Is the valuation reasonable relative to its growth prospects?
• ✅ Would I still own it if AI adoption slowed for two years?

If the answer is "yes" across most of these questions, you're likely looking at a higher-quality long-term investment.

💡 Wealth Builder Wisdom

When the automobile arrived, many car makers disappeared.

The companies supplying steel, tyres, fuel and roads endured.

When the internet exploded, thousands of websites came and went.

The companies providing semiconductors, networking and cloud infrastructure became giants.

Physical AI may be no different.

Rather than trying to predict the single winning robot, consider building a portfolio around the businesses supplying the power, chips, sensors, automation and software that every autonomous system will need.

That's how you position yourself to benefit—not from one winner, but from the entire ecosystem.

🚀 What's Next?

This completes our Physical AI Trilogy, broke down in 4 issues but it's only the beginning.

The next logical step is a deep-dive Physical AI Investment Handbook, where we'll:

• Score 30–50 companies using a consistent framework.
• Compare valuations, growth, profitability and moats.
• Build Conservative, Balanced and Aggressive model portfolios.
• Track emerging IPOs and private leaders that could become tomorrow's public winners.

That would serve as an evergreen reference guide you can update annually as the Physical AI landscape evolves. These are just some of my initial thoughts, but I have yet started on this as I like to see further developments with the key players in the coming quarters.

💬 Final Thought

That has always been, and will continue to be, the guiding philosophy behind Wealth Builder.

📚 Sources & Further Reading

The ideas discussed in this newsletter are based on a combination of publicly available research, industry reports, company announcements, interviews, and independent analysis. Readers who wish to explore the topic further may find the following resources useful:

Industry Research

• PitchBook – Q1 2026 Robotics & Physical AI Venture Capital Report (robotics and Physical AI funding trends).
• McKinsey & Company – Reports on industrial automation, manufacturing, AI and robotics.
• Boston Consulting Group (BCG) – AI, robotics and industrial transformation research.
• Deloitte Insights – Smart manufacturing and Industry 4.0 publications.
• PwC – Global AI and industrial automation outlook.
• International Federation of Robotics (IFR) – Annual World Robotics Report.

Company Resources

• NVIDIA – CUDA, Isaac Robotics Platform, Omniverse, Physical AI, Digital Twins and Cosmos.
• Google DeepMind – Research and interviews by Demis Hassabis on World Models and embodied intelligence.
• Meta AI – Yann LeCun's research papers and interviews on self-supervised learning and predictive world models.
• Siemens – Digital Industries, Industrial AI and Digital Twin solutions.
• ABB – Robotics and industrial automation.
• Schneider Electric – Smart infrastructure and electrification.
• Rockwell Automation – Connected enterprise and factory automation.
• Cognex – Machine vision technology.
• Fanuc, Keyence, Yaskawa and SMC – Industrial automation and robotics.
• Unitree Robotics – UNISTORE robot skills ecosystem.
• Genesis AI – GENE foundation model, tactile learning and Eno robot.
• Boston Dynamics – Autonomous robotics and industrial deployments.

Additional Reading

• Jensen Huang (NVIDIA) keynote presentations and interviews on Physical AI and robotics.
• Masayoshi Son (SoftBank) discussions on Artificial Super Intelligence (ASI) and Physical AI.
• Industry news from Reuters, Bloomberg, CNBC, Financial Times and The Wall Street Journal covering AI infrastructure, robotics and automation.
• Academic papers on embodied AI, reinforcement learning, world models and robot learning.

📝 Notes

Throughout this newsletter, I have intentionally focused on long-term structural trends instead of short-term market predictions.

Some examples, demonstrations and announcements discussed are still in their early stages of commercialization. While they illustrate the direction of the industry, they should not be interpreted as guarantees of future commercial success.

The investment framework presented here is designed to help readers think systematically about the Physical AI ecosystem. As technologies mature, company leadership, competitive dynamics and valuations will evolve. Today's leaders may not necessarily remain tomorrow's winners.

Where examples involve private companies, early-stage startups or widely reported industry developments, information is based on publicly available sources at the time of writing and may change as new information becomes available.

As always, investing is an ongoing learning process. Continue updating your views as new evidence emerges.

⚖️ Wealth Builder Investment Disclaimer

The purpose of this newsletter is to share ideas—not instructions.

Everything presented here reflects my own personal research, observations, thought process and continuous learning journey as an investor. Writing these newsletters helps me organize my thinking, challenge my assumptions and become a better long-term investor.

Nothing in this newsletter should be interpreted as investment, financial, legal, tax or professional advice, nor should it be construed as a recommendation or solicitation to buy, sell or hold any stock, ETF, cryptocurrency, option, bond or other financial instrument.

Markets are uncertain. Every investment carries risk, including the potential loss of capital. Past performance does not guarantee future results, and companies or sectors discussed may perform very differently from expectations.

Please conduct your own independent research and due diligence before making any investment decision. Read company filings, financial statements, earnings reports and annual reports, and consider multiple viewpoints from reputable analysts, commentators and research providers. Seeking perspectives that challenge your own thesis can often be just as valuable as finding those that support it.

Every investor has different financial goals, investment horizons, risk tolerances and personal circumstances. What may be appropriate for one investor may not be suitable for another.

If you are uncertain about any investment decision, consider consulting a qualified financial adviser or other licensed professional who understands your personal circumstances.

Above all, I encourage you to remain curious, think independently, question consensus views and never stop learning. The goal of Wealth Builder is not to tell you what to think—it is to help you become a better thinker and a more informed investor.