Artificial intelligence (AI) is transforming the world at breakneck speed. Companies, governments and investors are competing to position themselves in what appears to be the new engine of global growth. But behind the technological euphoria, uncomfortable doubts are emerging: are we facing a structural revolution or a new financial bubble? And, above all, what risk does it pose for investors and for the economic system as a whole?

Economic history is clear. Every major innovation has been accompanied by a similar cycle: enthusiasm, massive investment, overvaluation… and correction. It happened with the railway in the 19th century, with technology companies during the “dot-com” bubble of 2000 and, more recently, with sectors such as fossil fuels, where some analysts were already warning of a structural overvaluation of assets. AI does not seem to be an exception.

According to market data, the major technology companies have accounted for a significant share of stock market gains in recent years. Companies with multi-billion valuations that, in many cases, have not yet proven profitable business models associated with AI. The question is inevitable: are we paying for the future… or inflating it?

The narrative that justifies everything

Every bubble needs a story. And AI has a very powerful one. Massive automation, exponential increases in productivity, replacement of jobs and new economic models outline a disruptive future that seems to justify any valuation. But the problem is not the technology, but its translation into financial expectations.

Many companies include the word “AI” in their discourse to attract capital, just as happened with “blockchain” or “crypto” a few years ago. The result is a distortion of the market, where perceived value exceeds —and often far exceeds— real value. This phenomenon fits with a deeper dynamic of the current economic system, where the proximity between financial, political and corporate power can amplify speculative trends and favour certain actors.

The real problem is not that there is a bubble, but that it could affect the entire system. When large investment funds, banks and institutions concentrate capital in the same sector, the risk ceases to be individual and becomes systemic. We already saw this in 2008 with subprime mortgages or with the possible carbon bubble, and with AI the pattern could repeat itself: concentration of investment, dependence on narratives, costly infrastructure and a possible domino effect that, in the event of a correction, could impact global financial markets.

The real economy vs. the speculative economy

There is a growing disconnect between the real economy and financial markets. While wages struggle to maintain purchasing power and the cost of living rises, markets can experience spectacular increases based on future expectations. This divergence is shaping an increasingly evident dual economy.

On the one hand, we find a real economy marked by inflation, high taxes and loss of purchasing power. On the other, a financial economy driven by narratives and excess liquidity, where AI is becoming one of the main engines. But when the distance between the two becomes too great, history teaches us that the adjustment eventually arrives.

This does not mean that AI is not an opportunity. It is, and a very big one. But it is necessary to differentiate between technology and investment: the fact that an innovation transforms the world does not mean that all related companies are good bets. In moments of euphoria, risk management becomes key: diversifying, understanding assets and avoiding following the crowd are basic principles for protecting wealth, especially when growth appears disconnected from fundamentals.

In this context, the role of central banks is decisive. For years they have injected large amounts of liquidity, fuelling investment in risk assets and emerging sectors such as AI. But when conditions change —with interest rate hikes or monetary restrictions— these investments can deflate rapidly. What today seems like a safe bet may tomorrow reveal itself to be a clearly overvalued asset.

Revolution yes, but not at any price

Artificial intelligence is, without doubt, a technological revolution. But that does not make it immune to the classic dynamics of markets. Confusing innovation with secure value is a recurring, and often costly, mistake. The key is not to avoid AI, but to understand it, analyse it and, above all, not be carried away by the dominant narrative.

History does not repeat itself exactly, but it rhymes. And today, the rhyme sounds familiar. When everyone is talking about the same asset, when valuations soar and the narrative outweighs the data, it is time for prudence. AI may be the future, but it may also be the next correction. The difference between winning and losing will not lie in detecting the technology, but in understanding the moment. In an increasingly complex environment, understanding the dynamics of the financial system is key to protecting savings and making well-informed decisions.

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