The first part of this series focused on the infrastructure of the next economy: artificial intelligence, robotics, space technologies, biotechnology and energy. These technologies may shape the physical and digital foundations of future growth. But for investors, another question is just as important: how do these technologies become investable themes?
A strong technology story is not the same as a strong investment. History shows that investors can be right about the direction of innovation and still lose money if they enter at the wrong valuation, choose weak business models or underestimate regulation and cycles. The internet changed the world, but not every internet company created wealth for shareholders. The same logic applies today.
The task is therefore not to predict one perfect winner. The task is to understand the architecture of the new economy, identify the bottlenecks, analyze how value is captured, and allocate capital across several platforms without excessive concentration. In this second article, the focus shifts from technologies themselves to investment themes: blockchain and digital assets, Switzerland as a technology and finance hub, capital allocation, risk management and the future formed at the intersections.
Many investors still see blockchain mainly as a speculative market for volatile tokens. This view is understandable. Crypto remains cyclical, emotionally driven and vulnerable to bubbles. But focusing only on speculation can hide the deeper transformation: blockchain is a technology of digital ownership, settlement and programmable property rights.
The most important areas are Bitcoin as a digital reserve asset, Ethereum and Solana as programmable networks, stablecoins as payment infrastructure, tokenization of real-world assets, decentralized finance, custody, DePIN and the emerging intersection between AI and crypto. These areas are different. They should not be analyzed as if all digital assets had the same function or risk profile.
Stablecoins are especially important because they are already used as digital dollars, on-chain settlement instruments and cross-border payment infrastructure. Real-world asset tokenization is another bridge between traditional finance and blockchain. Tokenized Treasury bills, funds, private credit, real estate or other financial claims may make ownership more programmable and speed up settlement.
However, tokenization does not automatically create liquidity. A token is not the same as a liquid market. Legal protection, redemption terms, custody, market-making, investor access, transparency and regulatory recognition are all essential. Similarly, a DeFi protocol may have a high total value locked but weak sustainable revenue. A token may be technologically interesting but economically weak.
This is why crypto analysis should include revenue, fees, active users, developer activity, token utility, supply concentration, unlock schedules, security risk and regulation. Companies and infrastructure to watch include Coinbase, Robinhood, Circle, Galaxy Digital, Block, PayPal, Chainlink, Fireblocks, Anchorage, Sygnum, AMINA, Swissquote and Bitcoin Suisse. Crypto networks and protocols include Bitcoin, Ethereum, Solana, Chainlink, Avalanche, Polygon, Arbitrum, Optimism, Sui, Aptos, Aave, Uniswap and The Graph.
My view: blockchain is becoming a serious layer of digital ownership and settlement. The quality of this layer will depend not only on technology, but also on legal structure, custody, liquidity and trust.
Switzerland is interesting because it connects several elements of the future economy: finance, regulation, biotech, robotics, scientific institutions and digital assets. It may not always move loudly, but it often builds institutional infrastructure carefully.
In digital assets, Switzerland has created one of the most developed regulatory environments in the world. FINMA licensed the first DLT trading facility operated by BX Digital in 2025. SIX has also received FINMA approval to merge its digital CSD into SIX SIS AG and provide crypto custody through the consolidated central securities depository. These developments are important because they show how digital assets can move from a speculative market toward regulated institutional infrastructure.
Switzerland is also relevant outside crypto. ABB represents automation and robotics. Roche and Novartis represent biotechnology and pharmaceuticals. ETH Zurich and EPFL provide world-class scientific research. Crypto Valley in Zug remains one of the best-known blockchain clusters. Taken together, these factors make Switzerland a quiet but important node where capital, regulation, science and technology intersect.
For investors, Switzerland's role is not only about local companies. It is also about the model: innovation becomes more investable when it can be placed inside trusted legal, custody, settlement and regulatory structures. This is especially important for digital assets and tokenized infrastructure, where trust is not optional.
My view: if the future economy is built at the intersection of technology, capital and regulation, Switzerland may play the role of a bridge between traditional finance and digital infrastructure.
A mature investor should not try to guess one absolute winner. Technological revolutions usually create ecosystems of winners and losers. Some companies build infrastructure, some build applications, some capture margins, and some become overvalued stories without durable economics.
The more rational approach is to build a map of technology platforms and allocate risk across them. A conditional balanced model could look like this: 30% artificial intelligence and computing infrastructure, 20% robotics and automation, 20% energy and power grids, 10% biotechnology, 5% space technologies and 15% blockchain and digital assets.
This is not a recommendation. It is a framework for thinking. A more conservative investor may prefer broad ETFs, profitable infrastructure companies and lower exposure to digital assets. A more aggressive investor may increase exposure to early-stage innovation, crypto, space and high-growth software. But higher potential returns require stronger risk management: position limits, liquidity control, rebalancing, diversification and psychological readiness for drawdowns.
Investors should also track fundamental indicators, not only share prices. In AI, these include data-center capex, GPU demand, margins and customer adoption. In robotics: order books, robot installations and automation demand by sector. In energy: grid capacity, electricity prices, transformer shortages, storage deployment and nuclear-policy decisions. In space: launch frequency, satellite deployments, Starlink users, government contracts and free cash flow. In digital assets: stablecoin supply, on-chain fees, RWA volumes, protocol revenue, regulation and institutional participation.
My view: the goal is not to own every theme. The goal is to understand where infrastructure is forming, where value is captured and where the market has already priced in too much optimism.
The most dangerous mistake in technology investing is to confuse a correct story with a good investment. A technology can change the world while investors lose money because they paid too much, bought the wrong company or underestimated dilution, regulation and competition.
There are many risks in the convergence thesis. AI may face overvaluation, weak monetization, high compute costs and regulatory pressure. Robotics may develop more slowly than expected because physical deployment is complex. Biotech may face failed clinical trials and long regulatory timelines. Energy may become a bottleneck that slows AI expansion rather than a simple investment opportunity. Space companies may suffer from high capital needs, launch risk and valuation pressure. Crypto may face regulation, protocol failures, liquidity problems and security incidents.
There is also macroeconomic risk. High interest rates can reduce the value of long-duration growth assets. Geopolitical restrictions can affect semiconductors, energy supply chains, space infrastructure and digital finance. Capital may become concentrated in a few mega-cap companies, increasing index risk. Private-market valuations may become disconnected from public-market fundamentals.
For this reason, an investor should not fall in love with a technology. The thesis must be tested constantly against numbers: revenue, margins, cash flow, valuation, balance sheet strength, liquidity, regulation and competitive advantage. The stronger the narrative, the stricter the discipline should be.
My view: capital convergence is a powerful long-term theme, but it does not remove risk. It increases the need for structure, patience and valuation discipline.
The future rarely arrives suddenly. More often, it appears first as a strange idea, then as an overvalued story, then as disappointment, and finally as infrastructure without which the economy can no longer be imagined.
Artificial intelligence, robotics, space technologies, biotechnology, energy and blockchain are at different stages of maturity. But their interaction may become one of the main sources of value creation in the decades ahead. AI accelerates discovery. Robots turn intelligence into physical action. Energy powers computation. Space expands connectivity and observation. Blockchain creates a digital layer of ownership and settlement. Switzerland shows how regulation, capital and technology can come together in one ecosystem.
The most important question for investors is not: Which single company will change the world? The better question is: Which technological platforms will become the infrastructure of the new economy, how much optimism is already priced in, and how intelligently can risk be distributed across different areas?
Capital convergence is not a bet on science fiction. It is an attempt to see where separate technologies stop being isolated trends and begin to form a new architecture of global wealth.
This material is for informational and educational purposes only and does not constitute individualized investment advice. All investments involve the risk of capital loss.
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Specializing in finance, digital assets, investment research, and financial education
