How To Really Invest In AI

By , & Grzegorz Koscielniak

January 29, 2026

4 min read

AI-Focused Investing: Where the Real Action Is

The article paints artificial intelligence not as a passing trend, but as the new backbone of global markets. It argues that AI is no longer "one sector" among many – it is an entire ecosystem reshaping how value is created, from software models to the physical robots that will soon work alongside humans.

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The Three Pillars of AI Investing

According to the article, smart AI investing starts with three clear pillars anyone can understand: basic AI models, computing infrastructure, and humanoid robots. These segments form a complete ecosystem where code, hardware, and physical machines all reinforce each other.

1. Basic AI Models – The Brains of the Revolution

At the core are basic AI models – systems like those developed by OpenAI, Anthropic, or Mistral. These are the "brains" that understand language, generate content, analyze data, and increasingly make complex decisions. OpenAI has grown to around $13 billion in annual revenue and reached a valuation near half a trillion dollars in just two years. Anthropic has increased its revenue from about $1 billion to $5 billion in only eight months.

2. Computing Infrastructure – The Picks and Shovels of the AI Gold Rush

The second key segment is computing infrastructure – the heavy-duty machinery behind the scenes that makes AI possible. Every modern AI model needs huge amounts of computing power. Graphics chips, especially GPUs, are central here because they can process millions of operations in parallel, which is exactly what AI workloads need. The article emphasizes that infrastructure must grow even faster than the models themselves.

3. Humanoid Robots – When AI Steps Out of the Screen

The third pillar is where AI moves from the world of code into the physical world. The same intelligence is being given arms, legs, and sensors. Figure AI jumped from a valuation of $2.6 billion to $39 billion in about a year and a half – roughly a fifteen-fold increase. This shift from "intelligence in software" to "intelligence in motion" is framed as one of the biggest opportunities of the coming decade.

Why This Is Not Another Dot-Com Bubble

The article directly confronts the fear that AI might be just another tech bubble. It stresses a key difference: this time, the money is already there. Companies like OpenAI and Anthropic are generating billions in annual revenue, and AI is cutting real costs, not just inspiring optimistic stories. It cites concrete breakthroughs: AI tools predicting protein structures and accelerating cancer research, and algorithms cutting Google's energy use by 40%.

Risks: What Could Go Wrong?

The article does not romanticize AI. It lays out several key risks investors must understand: regulatory changes, competition from tech giants, technical limitations, and energy constraints. AI can be powerful, but it requires fuel, infrastructure, political permission, and clear operational space.

How AI Fits Into a Real-World Portfolio

The article makes a crucial point: even with all this opportunity, AI should power growth, not dominate every corner of a portfolio. For a long-term, 10-year horizon, the article describes a model where around 30% of the portfolio is dedicated to AI-focused investments. Another 30% sits in technology stocks that benefit from AI. The rest is in stabilizers: bonds, real estate, and precious metals.

Modern Diversified Portfolios vs. The Real Estate Obsession

The article shatters one of the biggest investing myths: that owning real estate is the ultimate way to build wealth. Instead, it shows how the world's largest financial institutions build diversified, modern portfolios where real estate is just one stabilizing element, not the whole story. Professional portfolios are never built entirely from real estate. For institutional investors, property is a "shock absorber," not the engine.

Access To Swiss And Foreign Investments

The article reveals a world most retail investors never see: a Swiss marketplace where ordinary people can finally tap into investments once reserved only for billionaires and global institutions. Swiss institutions offer access to pre-IPO shares of AI unicorns, specialized funds, and alternative investments. What used to be a closed private market for elite family offices is now being sliced into accessible, regulated pieces.

Common Retail Investor Mistakes

The article sounds a loud warning: most retail investors misuse the opportunities they do have. Their main enemy is not the market, but their own behavior. Common mistakes include letting emotions drive decisions, chasing "safe bets" and miracle tips, putting everything into real estate, confusing cryptocurrencies with real technological value, and ignoring diversification.

The Mindset Behind Successful AI Investing

Throughout the article, a core principle comes through: AI investing is powerful, but it is not magic. The biggest mistakes individual investors make are emotional – chasing headlines, following hype, and betting on a single "sure thing." Instead, the article frames AI as a long-term structural trend to be integrated into a thoughtful, diversified strategy. It urges readers to treat their wealth like their health: rely on experience, data, and a whole-portfolio view, rather than quick tips and fashionable fads.

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